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  • Introducing Orimon.ai – The AI Born from Our Love for DIY & Conversational AI

    If you’re passionate about creating things or have a love for conversational AI, we have something that will surely catch your attention. Meet Orimon.ai – the result of our passion for DIY projects and conversational AI.

    Say Hello to Your Ideal Salesperson – Orimon.ai!

    Orimon.ai is an AI-powered sales assistant that can answer any question related to your business or industry. Think of it as having an “ideal salesperson” available 24/7 on your website. It’s the ultimate sales booster, with natural language processing capabilities that enable it to understand even the most everyday human language in over 120 languages and dialects.

    Efficient and Accurate

    At Orimon, we understand the value of efficiency and accuracy when it comes to AI. That’s why we’ve designed our platform to enable anyone to create a sophisticated sales-enabling chatbot in under two minutes. You don’t need to write any code or even do drag and drop. All you need is the LinkedIn URL of your brand’s page.

    The AI learns specifics about your company from LinkedIn and creates a knowledge base from its huge pre-learned data from various industries and customer interactions. This allows your bot to deliver a superior experience to your customers when they land on your website.

    Delivering Tangible Value

    Studies show that 35% to 50% of B2B sales go to the brands that respond to customers first and accurately, and 95% of buyers choose the provider that guides them personally through the sales process. As a startup, we understand that having a live agent available 24/7 is a huge cost to the company. And if you have users from across the globe, creating a team of multilingual live support agents is only a dream come true.

    That’s where Orimon delivers tangible value to you. Your bot is not some unintelligent bot that can only parrot the FAQs or pre-trained sentences. Orimon chatbots will guide your users down the sales funnel while delivering a superior customer experience.

    Customizable and Unique

    Every brand wants to speak with its audience in a tone and manner that is unique to the brand. Orimon allows you to customize the chatbot as per your brand guidelines and tone. Making the chatbot part of the overall experience rather than just another feature on your website.

    Revolutionizing Customer Engagement

    With GPT-4 making its entrance and large language models finally delivering real value, with platforms like Orimon.ai, we will usher in a new era of conversational AI. An era where businesses are as human as their customers. It is time your business adopts conversational AI to become a truly modern and empathetic business that delivers real value to all its stakeholders.

    Wrapping Up:

    Orimon is an innovative platform that enables a whole new world of customer engagement and sales. It offers a wide range of features, such as conversations in 120+ languages, sales-enabling features, and automated customer service support, making it easier for customers to communicate with businesses without hassle. It also supports easy integration with existing systems making it suitable for most businesses regardless of size or industry sector.

    So, what are you waiting for? Head to Orimon and build your first sophisticated AI sales assistant in minutes, free for the first 30 days. We are eagerly waiting to hear your feedback and wish for your support. Join the conversation and experience the next level of customer engagement and sales with Orimon.ai.

    If you’re passionate about creating things or have a love for conversational AI, we have something that will surely catch your attention. Meet Orimon.ai – the result of our passion for DIY projects and conversational AI.

    Say Hello to Your Ideal Salesperson – Orimon.ai!

    Orimon.ai is an AI-powered sales assistant that can answer any question related to your business or industry. Think of it as having an “ideal salesperson” available 24/7 on your website. It’s the ultimate sales booster, with natural language processing capabilities that enable it to understand even the most everyday human language in over 120 languages and dialects.

    Efficient and Accurate

    At Orimon, we understand the value of efficiency and accuracy when it comes to AI. That’s why we’ve designed our platform to enable anyone to create a sophisticated sales-enabling chatbot in under two minutes. You don’t need to write any code or even do drag and drop. All you need is the LinkedIn URL of your brand’s page.

    The AI learns specifics about your company from LinkedIn and creates a knowledge base from its huge pre-learned data from various industries and customer interactions. This allows your bot to deliver a superior experience to your customers when they land on your website.

    Delivering Tangible Value

    Studies show that 35% to 50% of B2B sales go to the brands that respond to customers first and accurately, and 95% of buyers choose the provider that guides them personally through the sales process. As a startup, we understand that having a live agent available 24/7 is a huge cost to the company. And if you have users from across the globe, creating a team of multilingual live support agents is only a dream come true.

    That’s where Orimon delivers tangible value to you. Your bot is not some unintelligent bot that can only parrot the FAQs or pre-trained sentences. Orimon chatbots will guide your users down the sales funnel while delivering a superior customer experience.

    Customizable and Unique

    Every brand wants to speak with its audience in a tone and manner that is unique to the brand. Orimon allows you to customize the chatbot as per your brand guidelines and tone. Making the chatbot part of the overall experience rather than just another feature on your website.

    Revolutionizing Customer Engagement

    With GPT-4 making its entrance and large language models finally delivering real value, with platforms like Orimon.ai, we will usher in a new era of conversational AI. An era where businesses are as human as their customers. It is time your business adopts conversational AI to become a truly modern and empathetic business that delivers real value to all its stakeholders.

    Wrapping Up:

    Orimon is an innovative platform that enables a whole new world of customer engagement and sales. It offers a wide range of features, such as conversations in 120+ languages, sales-enabling features, and automated customer service support, making it easier for customers to communicate with businesses without hassle. It also supports easy integration with existing systems making it suitable for most businesses regardless of size or industry sector.

    So, what are you waiting for? Head to Orimon and build your first sophisticated AI sales assistant in minutes, free for the first 30 days. We are eagerly waiting to hear your feedback and wish for your support. Join the conversation and experience the next level of customer engagement and sales with Orimon.ai.

  • Transforming Telecom in 2025: 5 Ways Conversational AI is Leading the Way

    The telecom industry has been an essential part of our daily lives for decades, allowing us to stay connected with loved ones and access the information we need. In recent years, technology has transformed the telecom industry, making it more efficient and user-friendly. One such technology that is leading the way in transforming the telecom industry is Conversational AI.

    Conversational AI is an advanced technology that enables systems to communicate with humans in a natural language interface. The technology is making waves in the telecom industry, changing how customers interact with businesses.

    Here are five ways that Conversational AI is leading the way in transforming the telecom industry in 2025.

    Use Cases Of Conversational AI In the Telecom Industry

    1. Reliable Customer Service:

    Conversational AI is revolutionizing customer service in the telecom industry. Chatbots and virtual assistants can quickly handle customer queries and provide real-time solutions. This not only saves time for customers but also reduces the workload of customer service representatives.
     A successful example of Conversational AI in customer service is VI’s omnichannel chatbot powered by Ori. The bot handled 100,000 conversations simultaneously and boosted their conversions by up to 40%.

    2. Personalized Marketing:

    It enables personalized marketing campaigns in the telecom industry. Chatbots can analyze customer data and provide personalized customer recommendations. This creates a more personalized experience for customers, increasing the likelihood of customer loyalty.

    3. Real-time Network Optimization:

    As per  IDC, 63.5% of telecom companies are currently implementing AI to improve their network infrastructure. Chatbots can monitor network performance and detect issues in real-time. This enables telecom companies to optimize network operations, reducing downtime and improving network efficiency.
    A recent development in this field was Nokia’s machine learning based AVA platform. It is a cloud-based network management solution aimed at better managing capacity planning.

    4. Simplified Billing and Payments:

    Chatbots can provide customers with real-time billing information and payment options. This makes billing and payment processes more user-friendly, reducing the likelihood of customer churn.
    A great example would be T-Mobile’s (formerly Sprint) chatbot, which offers customers the option to pay their bills through a conversational interface that presents up-to-the-minute billing information.

    5. Assisted Product Development:

    Conversational AI is assisting product development in the telecom industry. Using chatbots and virtual assistants, customer feedback can be analyzed to recommend product enhancements. As a result, telecom companies can design more customer-centric products, boosting customer satisfaction and loyalty.
    A successful example would be BT’s chatbot, which collects customer feedback and further provides suggestions for product improvements.

    Wrapping Up:

    In conclusion, conversational AI has the potential to transform the telecom industry in 2024 and beyond. By improving customer experience, optimizing operations, and driving growth, conversational AI can help companies stay competitive in a rapidly evolving market.
    It’s time for the telecom industry to embrace conversational AI and unlock its full potential. Whether it’s implementing chatbots for customer service or virtual assistants for personalized marketing, the possibilities are endless. So what are you waiting for? Just book a free demo with Ori, and we’ll guide you towards the future of telecom.

    The telecom industry has been an essential part of our daily lives for decades, allowing us to stay connected with loved ones and access the information we need. In recent years, technology has transformed the telecom industry, making it more efficient and user-friendly. One such technology that is leading the way in transforming the telecom industry is Conversational AI.

    Conversational AI is an advanced technology that enables systems to communicate with humans in a natural language interface. The technology is making waves in the telecom industry, changing how customers interact with businesses.

    Here are five ways that Conversational AI is leading the way in transforming the telecom industry in 2025.

    Use Cases Of Conversational AI In the Telecom Industry

    1. Reliable Customer Service:

    Conversational AI is revolutionizing customer service in the telecom industry. Chatbots and virtual assistants can quickly handle customer queries and provide real-time solutions. This not only saves time for customers but also reduces the workload of customer service representatives.
     A successful example of Conversational AI in customer service is VI’s omnichannel chatbot powered by Ori. The bot handled 100,000 conversations simultaneously and boosted their conversions by up to 40%.

    2. Personalized Marketing:

    It enables personalized marketing campaigns in the telecom industry. Chatbots can analyze customer data and provide personalized customer recommendations. This creates a more personalized experience for customers, increasing the likelihood of customer loyalty.

    3. Real-time Network Optimization:

    As per  IDC, 63.5% of telecom companies are currently implementing AI to improve their network infrastructure. Chatbots can monitor network performance and detect issues in real-time. This enables telecom companies to optimize network operations, reducing downtime and improving network efficiency.
    A recent development in this field was Nokia’s machine learning based AVA platform. It is a cloud-based network management solution aimed at better managing capacity planning.

    4. Simplified Billing and Payments:

    Chatbots can provide customers with real-time billing information and payment options. This makes billing and payment processes more user-friendly, reducing the likelihood of customer churn.
    A great example would be T-Mobile’s (formerly Sprint) chatbot, which offers customers the option to pay their bills through a conversational interface that presents up-to-the-minute billing information.

    5. Assisted Product Development:

    Conversational AI is assisting product development in the telecom industry. Using chatbots and virtual assistants, customer feedback can be analyzed to recommend product enhancements. As a result, telecom companies can design more customer-centric products, boosting customer satisfaction and loyalty.
    A successful example would be BT’s chatbot, which collects customer feedback and further provides suggestions for product improvements.

    Wrapping Up:

    In conclusion, conversational AI has the potential to transform the telecom industry in 2024 and beyond. By improving customer experience, optimizing operations, and driving growth, conversational AI can help companies stay competitive in a rapidly evolving market.
    It’s time for the telecom industry to embrace conversational AI and unlock its full potential. Whether it’s implementing chatbots for customer service or virtual assistants for personalized marketing, the possibilities are endless. So what are you waiting for? Just book a free demo with Ori, and we’ll guide you towards the future of telecom.

  • From Search to Closing: 5 Ways Conversational AI is Improving Real Estate Experiences

    As the real estate industry continues to evolve, customer experience has become more important than ever. Traditionally, the search-to-closing process has been lengthy and complex, but with the advancements in conversational AI, it’s possible to improve the process for both customers and agents.

    In this blog, we’ll explore how conversational AI can revolutionize the real estate industry and make property buying and selling more efficient and enjoyable. So let’s dive right in!

    Use Cases Of Conversational AI In Real Estate

    1. Personalized Property Recommendations:

    Conversational AI can analyze customer preferences and suggest relevant properties, improving the property search experience. With chatbots, real estate agents can reduce search time and increase customer satisfaction.

    For example, a chatbot can ask a series of questions to understand a customer’s preferences, such as the number of bedrooms or location, and provide personalized recommendations accordingly.

    2. Seamless Appointment Scheduling:

    Scheduling property viewings can be time-consuming, but chatbots can help customers schedule appointments more efficiently. They are available 24/7 and can quickly respond to customers’ requests. This results in increased lead generation and more time for real estate agents to focus on other tasks. Customers also benefit from a seamless and quick scheduling experience.

    3. Real-Time Communication and Support:

    A survey by Tidio suggested that about 53% of people find waiting too long for replies the most frustrating part of interacting with businesses.

    Chatbots can facilitate real-time communication between customers and real estate agents. They can answer common questions, provide information, and offer support throughout the buying process. This results in increased customer confidence in their decisions and increased productivity for real estate agents.

    4. Automated Paperwork and Documentation:

    Managing paperwork and documentation is often a tedious task for real estate agents. However, chatbots can streamline the process by automating it. This results in faster processing times and reduced errors. Real estate agents can then focus more on providing excellent customer service and less on administrative tasks.

    5. Post-Closing Follow-Up and Support:

    Providing post-closing follow-up and support to customers is critical in the real estate industry. Chatbots can help agents provide ongoing support, such as answering questions about maintenance or providing information about the local community. This results in improved customer satisfaction and increased referrals.

    To Conclude:

    Don’t let your real estate business fall behind the times. With customers expecting personalized experiences, conversational AI is no longer a luxury but a necessity. By implementing chatbots, you can improve customer satisfaction, increase productivity, and ultimately drive more sales.

    Don’t wait any longer – stay ahead of the competition by embracing the power of conversational AI. Book a free demo with Ori today and join the future of real estate powered by exceptional Gen-AI capabilities.

    As the real estate industry continues to evolve, customer experience has become more important than ever. Traditionally, the search-to-closing process has been lengthy and complex, but with the advancements in conversational AI, it’s possible to improve the process for both customers and agents.

    In this blog, we’ll explore how conversational AI can revolutionize the real estate industry and make property buying and selling more efficient and enjoyable. So let’s dive right in!

    Use Cases Of Conversational AI In Real Estate

    1. Personalized Property Recommendations:

    Conversational AI can analyze customer preferences and suggest relevant properties, improving the property search experience. With chatbots, real estate agents can reduce search time and increase customer satisfaction.

    For example, a chatbot can ask a series of questions to understand a customer’s preferences, such as the number of bedrooms or location, and provide personalized recommendations accordingly.

    2. Seamless Appointment Scheduling:

    Scheduling property viewings can be time-consuming, but chatbots can help customers schedule appointments more efficiently. They are available 24/7 and can quickly respond to customers’ requests. This results in increased lead generation and more time for real estate agents to focus on other tasks. Customers also benefit from a seamless and quick scheduling experience.

    3. Real-Time Communication and Support:

    A survey by Tidio suggested that about 53% of people find waiting too long for replies the most frustrating part of interacting with businesses.

    Chatbots can facilitate real-time communication between customers and real estate agents. They can answer common questions, provide information, and offer support throughout the buying process. This results in increased customer confidence in their decisions and increased productivity for real estate agents.

    4. Automated Paperwork and Documentation:

    Managing paperwork and documentation is often a tedious task for real estate agents. However, chatbots can streamline the process by automating it. This results in faster processing times and reduced errors. Real estate agents can then focus more on providing excellent customer service and less on administrative tasks.

    5. Post-Closing Follow-Up and Support:

    Providing post-closing follow-up and support to customers is critical in the real estate industry. Chatbots can help agents provide ongoing support, such as answering questions about maintenance or providing information about the local community. This results in improved customer satisfaction and increased referrals.

    To Conclude:

    Don’t let your real estate business fall behind the times. With customers expecting personalized experiences, conversational AI is no longer a luxury but a necessity. By implementing chatbots, you can improve customer satisfaction, increase productivity, and ultimately drive more sales.

    Don’t wait any longer – stay ahead of the competition by embracing the power of conversational AI. Book a free demo with Ori today and join the future of real estate powered by exceptional Gen-AI capabilities.

  • The Next Generation of Insurance: 5 Conversational AI Use Cases Driving Industry Growth

    As the insurance industry continues to grow and evolve, so does the technology that powers it. One of the most exciting advancements in recent years has been the integration of conversational AI into insurance services.

    Conversational AI refers to the use of natural language processing (NLP), machine learning, and other forms of artificial intelligence to create human-like conversations between systems and consumers.

    The Global conversational AI market is valued at $6.18 billion in 2021 and is expected to grow at a CAGR of 23.6% from 2022 to 2030. Implementing conversational AI in the insurance industry benefits customer experiences, increases efficiency, and reduces costs of claims and fraud detection. It’s transforming the way you operate and driving industry growth.

    Let’s take a closer look at five powerful use cases for conversational AI in insurance services:

    Use Cases Of Conversational AI In the Insurance Sector

    1. Automated Claim Processing:

    In 2019, a Statista survey showed that 44% of customers are comfortable using chatbots for insurance claims and 43% for buying policies, indicating high chatbot acceptance in insurance. Using conversational AI you can automate the claims process, which reduces processing time and improves accuracy overall.

      Customers can submit claims to you via chatbots or voice assistants, and Ori’s conversational AI can use NLP to extract relevant information, such as the date and location of the incident, the type of coverage the customer has, and any relevant policy details.

      2. Providing a Seamless Omnichannel Experience:

      According to a study by Capgemini and Efma, 70% of customers expect a multi-channel experience for policy research and purchase. Conversational AI enables you to engage with your customers across multiple channels seamlessly.

        This technology can provide customers with consistent and personalized experiences across channels, enabling them to switch between channels without losing context.

        3. Real-Time Risk Detection:

        Conversational AI can monitor social media and other sources for potential risks in real-time, such as weather events or cyber threats. This helps you respond quickly, reducing the risk of claims and improving customer satisfaction.

        4. Digital Personalized Guidance:

        As reported by The Economic Times, out of the 138 Bn. people, around 30 percent of Indians do not have health insurance of any kind. By using conversational AI to create personalized guidance for customers, you can improve customer engagement and satisfaction.

          Chatbots and voice assistants can be programmed to provide personalized advice based on a customer’s individual needs and preferences, such as the best coverage options for their lifestyle or advice on how to reduce their risk.

          5. Personalized Up-selling and Cross-Selling:

          Conversational AI can analyze customer data and make personalized recommendations for additional products or services, increasing revenue for your business.

          Wrapping Up:

          In short, conversational AI is transforming the insurance industry by improving customer experiences, increasing efficiency, and reducing costs. Its ability to automate claims processing, offer personalized guidance, and enhance underwriting quality assurance is driving industry growth and transforming the way you operate.

          Now if you’re an institution in the Insurance sector, from servicing to claims management to risk management and beyond, let Ori’s conversational solutions automate mundane tasks, and give you the results you truly deserve.
          Say goodbye to inefficiencies and hello to exceptional results. Whether you’re a small business or a large institution, Convert by Ori has the tools to transform the way you work. Don’t just take our word for it, see it for yourself. Request a free demo today.

          As the insurance industry continues to grow and evolve, so does the technology that powers it. One of the most exciting advancements in recent years has been the integration of conversational AI into insurance services.

          Conversational AI refers to the use of natural language processing (NLP), machine learning, and other forms of artificial intelligence to create human-like conversations between systems and consumers.

          The Global conversational AI market is valued at $6.18 billion in 2021 and is expected to grow at a CAGR of 23.6% from 2022 to 2030. Implementing conversational AI in the insurance industry benefits customer experiences, increases efficiency, and reduces costs of claims and fraud detection. It’s transforming the way you operate and driving industry growth.

          Let’s take a closer look at five powerful use cases for conversational AI in insurance services:

          Use Cases Of Conversational AI In the Insurance Sector

          1. Automated Claim Processing:

          In 2019, a Statista survey showed that 44% of customers are comfortable using chatbots for insurance claims and 43% for buying policies, indicating high chatbot acceptance in insurance. Using conversational AI you can automate the claims process, which reduces processing time and improves accuracy overall.

            Customers can submit claims to you via chatbots or voice assistants, and Ori’s conversational AI can use NLP to extract relevant information, such as the date and location of the incident, the type of coverage the customer has, and any relevant policy details.

            2. Providing a Seamless Omnichannel Experience:

            According to a study by Capgemini and Efma, 70% of customers expect a multi-channel experience for policy research and purchase. Conversational AI enables you to engage with your customers across multiple channels seamlessly.

              This technology can provide customers with consistent and personalized experiences across channels, enabling them to switch between channels without losing context.

              3. Real-Time Risk Detection:

              Conversational AI can monitor social media and other sources for potential risks in real-time, such as weather events or cyber threats. This helps you respond quickly, reducing the risk of claims and improving customer satisfaction.

              4. Digital Personalized Guidance:

              As reported by The Economic Times, out of the 138 Bn. people, around 30 percent of Indians do not have health insurance of any kind. By using conversational AI to create personalized guidance for customers, you can improve customer engagement and satisfaction.

                Chatbots and voice assistants can be programmed to provide personalized advice based on a customer’s individual needs and preferences, such as the best coverage options for their lifestyle or advice on how to reduce their risk.

                5. Personalized Up-selling and Cross-Selling:

                Conversational AI can analyze customer data and make personalized recommendations for additional products or services, increasing revenue for your business.

                Wrapping Up:

                In short, conversational AI is transforming the insurance industry by improving customer experiences, increasing efficiency, and reducing costs. Its ability to automate claims processing, offer personalized guidance, and enhance underwriting quality assurance is driving industry growth and transforming the way you operate.

                Now if you’re an institution in the Insurance sector, from servicing to claims management to risk management and beyond, let Ori’s conversational solutions automate mundane tasks, and give you the results you truly deserve.
                Say goodbye to inefficiencies and hello to exceptional results. Whether you’re a small business or a large institution, Convert by Ori has the tools to transform the way you work. Don’t just take our word for it, see it for yourself. Request a free demo today.

              1. Redefining Healthcare: 5 Ways Conversational AI is Improving Patient Outcomes

                Healthcare providers are always searching for new ways to improve patient outcomes, and Conversational AI is emerging as a powerful tool to help achieve this goal. By using natural language processing and machine learning, Conversational AI enables systems to interact with humans in a conversational manner, improving efficiency, reducing costs, and enhancing the patient experience.

                Here are five ways in which Conversational AI is redefining healthcare:

                Use Cases of Conversational AI In Healthcare & Diagnostics

                Patient Onboarding and Appointment Scheduling:

                Conversational AI can streamline the process of scheduling appointments, accessing medical records, and providing guidance on appointment preparation.

                  By reducing the need for phone calls or in-person visits, healthcare providers can save time and improve the patient experience.

                  Diagnostic Testing:

                  By using ML and NLP, healthcare providers can ask patients about their symptoms and medical history, generating a diagnosis quickly and accurately. Around 73% of the time, emergency dispatchers in Copenhagen successfully identified cases of cardiac arrest based on the caller’s description and this itself is an example of how big an impact AI systems can create in the coming times.

                     This reduces the likelihood of complications or misdiagnosis, ensuring that patients receive the correct treatment.

                    Medication Adherence:

                    Conversational AI can help to improve medication adherence by providing personalized reminders and education to patients. This ensures that patients take their medication as prescribed, improving outcomes and reducing costs associated with non-adherence.

                    Health Tracking and Management:

                    According to the Journal of the American Medical Association (JAMA), unnecessary healthcare spending in the US accounts for a whopping 25%, resulting in a wastage of US$760-935 billion annually. However, with the help of AI-powered health tracking and management, these costs can be significantly reduced.

                      AI can also be used to track patient health data, providing personalized insights and recommendations to patients. By collecting data such as exercise levels, diet, and sleep patterns, healthcare providers can help patients to manage chronic conditions and maintain overall health.

                      Clinical Research:

                      Recursion Pharmaceuticals recently raised $13M to discover new advanced drugs using the capabilities of AI. By collecting data from patients in a conversational manner, researchers can gain insights into patient behavior and preferences that they might not have otherwise been able to access. This can inform the development of new treatments and therapies, ultimately improving patient outcomes.

                      In Conclusion:

                      Conversational AI has numerous applications in healthcare, from improving patient onboarding and appointment scheduling to enhancing diagnostic testing, medication adherence, health tracking and management, and clinical research. By embracing this technology, healthcare providers can enhance the patient experience, reduce costs, and ultimately improve patient outcomes.

                      Ready to harness the power of Conversational AI and implement it in your healthcare institution? Look out for Ori, your trusted conversational AI partner. Our expertise lies in assisting institutions across various sectors, including healthcare. Drop us a line at contactus@oriserve.com or Click here to book a free demo today.

                      Healthcare providers are always searching for new ways to improve patient outcomes, and Conversational AI is emerging as a powerful tool to help achieve this goal. By using natural language processing and machine learning, Conversational AI enables systems to interact with humans in a conversational manner, improving efficiency, reducing costs, and enhancing the patient experience.

                      Here are five ways in which Conversational AI is redefining healthcare:

                      Use Cases of Conversational AI In Healthcare & Diagnostics

                      Patient Onboarding and Appointment Scheduling:

                      Conversational AI can streamline the process of scheduling appointments, accessing medical records, and providing guidance on appointment preparation.

                        By reducing the need for phone calls or in-person visits, healthcare providers can save time and improve the patient experience.

                        Diagnostic Testing:

                        By using ML and NLP, healthcare providers can ask patients about their symptoms and medical history, generating a diagnosis quickly and accurately. Around 73% of the time, emergency dispatchers in Copenhagen successfully identified cases of cardiac arrest based on the caller’s description and this itself is an example of how big an impact AI systems can create in the coming times.

                           This reduces the likelihood of complications or misdiagnosis, ensuring that patients receive the correct treatment.

                          Medication Adherence:

                          Conversational AI can help to improve medication adherence by providing personalized reminders and education to patients. This ensures that patients take their medication as prescribed, improving outcomes and reducing costs associated with non-adherence.

                          Health Tracking and Management:

                          According to the Journal of the American Medical Association (JAMA), unnecessary healthcare spending in the US accounts for a whopping 25%, resulting in a wastage of US$760-935 billion annually. However, with the help of AI-powered health tracking and management, these costs can be significantly reduced.

                            AI can also be used to track patient health data, providing personalized insights and recommendations to patients. By collecting data such as exercise levels, diet, and sleep patterns, healthcare providers can help patients to manage chronic conditions and maintain overall health.

                            Clinical Research:

                            Recursion Pharmaceuticals recently raised $13M to discover new advanced drugs using the capabilities of AI. By collecting data from patients in a conversational manner, researchers can gain insights into patient behavior and preferences that they might not have otherwise been able to access. This can inform the development of new treatments and therapies, ultimately improving patient outcomes.

                            In Conclusion:

                            Conversational AI has numerous applications in healthcare, from improving patient onboarding and appointment scheduling to enhancing diagnostic testing, medication adherence, health tracking and management, and clinical research. By embracing this technology, healthcare providers can enhance the patient experience, reduce costs, and ultimately improve patient outcomes.

                            Ready to harness the power of Conversational AI and implement it in your healthcare institution? Look out for Ori, your trusted conversational AI partner. Our expertise lies in assisting institutions across various sectors, including healthcare. Drop us a line at contactus@oriserve.com or Click here to book a free demo today.

                          1. Maximizing Fintech Efficiency with Conversational AI: 5 Use Cases Worth Knowing

                            In today’s fast-paced fintech industry, building strong customer relationships and providing effective communication can make all the difference between success and failure. But with traditional methods of customer support and marketing becoming obsolete, companies are turning to innovative solutions like conversational AI to bridge the gap.

                            Conversational AI, or chatbots powered by AI, have emerged as a game-changer in the world of fintech. By engaging customers in real-time conversations, it offers personalized support that can help drive conversions and increase customer loyalty. 

                            In this blog, we’ll explore five powerful use cases for conversational AI in fintech. Whether you’re a fintech business owner, marketer, or customer support specialist, you won’t want to miss this. So buckle up, and let’s dive in!

                            Use Cases of Conversational AI In Fintech

                            1. Robust Conversational Marketing

                            Marketing is a critical component of any fintech strategy. With Conversational AI, financial institutions can provide a personalized marketing experience to their customers by targeting them with the right message at the right time.

                              Conversational AI can engage customers in meaningful conversation and guide them through the decision-making process, resulting in higher engagement and conversion rates.

                              2. Simplifying Cluttered Interfaces:

                              When technology is too complicated, 38% of users leave within seconds. Fintech chatbots with AI integration reduce friction and minimize technological hurdles. They’re programmed to recognize human behavior and respond to users’ demands, simplifying the user experience and reducing clutter.

                              3. Streamlined Conversational Support:

                              Support is an essential part of any fintech business, and it requires businesses to be efficient and effective in handling customer inquiries.

                                With Conversational AI, businesses can streamline their support processes by automating routine tasks and providing quick and accurate responses to customer inquiries. This can significantly reduce the time it takes to resolve customer issues, resulting in higher customer satisfaction rates.

                                4. Managing feedback:

                                In the financial industry, customer reviews are crucial. With chatbots, financial institutions can gather more accurate feedback, thanks to conversational AI. This helps fintech brands improve their services by identifying areas for growth, allowing for practical solutions to be implemented.

                                5. Fraud Detection:

                                Conversational AI is the superhero in fintech fraud detection, scanning accounts for suspicious activities and alerting customers in real time. It’s like having a personal detective who never sleeps, always on the lookout for any fraudulent activity. With AI chatbots, fintech companies can ensure their customers’ safety and build trust in their services.

                                Bottom Line:

                                In conclusion, Conversational AI is transforming the way we interact with financial institutions, making them more efficient, effective, and customer-centric. At Oriserve, we believe in the power of Conversational AI, and we’re dedicated to providing our customers with the best possible experience.
                                If you’re a financial institution that wants to maximize your fintech efficiency and stay ahead of the competition, it’s time to connect with us. Click here and open the doors to exceptional customer service and booming sales.

                                In today’s fast-paced fintech industry, building strong customer relationships and providing effective communication can make all the difference between success and failure. But with traditional methods of customer support and marketing becoming obsolete, companies are turning to innovative solutions like conversational AI to bridge the gap.

                                Conversational AI, or chatbots powered by AI, have emerged as a game-changer in the world of fintech. By engaging customers in real-time conversations, it offers personalized support that can help drive conversions and increase customer loyalty. 

                                In this blog, we’ll explore five powerful use cases for conversational AI in fintech. Whether you’re a fintech business owner, marketer, or customer support specialist, you won’t want to miss this. So buckle up, and let’s dive in!

                                Use Cases of Conversational AI In Fintech

                                1. Robust Conversational Marketing

                                Marketing is a critical component of any fintech strategy. With Conversational AI, financial institutions can provide a personalized marketing experience to their customers by targeting them with the right message at the right time.

                                  Conversational AI can engage customers in meaningful conversation and guide them through the decision-making process, resulting in higher engagement and conversion rates.

                                  2. Simplifying Cluttered Interfaces:

                                  When technology is too complicated, 38% of users leave within seconds. Fintech chatbots with AI integration reduce friction and minimize technological hurdles. They’re programmed to recognize human behavior and respond to users’ demands, simplifying the user experience and reducing clutter.

                                  3. Streamlined Conversational Support:

                                  Support is an essential part of any fintech business, and it requires businesses to be efficient and effective in handling customer inquiries.

                                    With Conversational AI, businesses can streamline their support processes by automating routine tasks and providing quick and accurate responses to customer inquiries. This can significantly reduce the time it takes to resolve customer issues, resulting in higher customer satisfaction rates.

                                    4. Managing feedback:

                                    In the financial industry, customer reviews are crucial. With chatbots, financial institutions can gather more accurate feedback, thanks to conversational AI. This helps fintech brands improve their services by identifying areas for growth, allowing for practical solutions to be implemented.

                                    5. Fraud Detection:

                                    Conversational AI is the superhero in fintech fraud detection, scanning accounts for suspicious activities and alerting customers in real time. It’s like having a personal detective who never sleeps, always on the lookout for any fraudulent activity. With AI chatbots, fintech companies can ensure their customers’ safety and build trust in their services.

                                    Bottom Line:

                                    In conclusion, Conversational AI is transforming the way we interact with financial institutions, making them more efficient, effective, and customer-centric. At Oriserve, we believe in the power of Conversational AI, and we’re dedicated to providing our customers with the best possible experience.
                                    If you’re a financial institution that wants to maximize your fintech efficiency and stay ahead of the competition, it’s time to connect with us. Click here and open the doors to exceptional customer service and booming sales.

                                  1. Chatting Up Conversions: The Psychology Behind Chatbot Success

                                    Are you looking for a way to increase sales and conversions on your website? Well, look no further than conversational AI chatbots.

                                    That’s right – these automated chatbots can help boost your conversion rate in ways you never thought possible.

                                    Let’s take a closer look at how they work and why they have become so popular. First of all, let’s talk about what exactly a conversational AI chatbot is. In simple terms, it is an artificial intelligence application that uses natural language processing (NLP) technology to interact with users. It can understand user input, respond appropriately by providing relevant information, and even suggest products or services based on customer behavior or preferences.

                                    So Why are People Turning Towards These Chatbots for Their Websites?

                                    There are several reasons. Firstly, it provides users with faster customer service since there is no need to wait on hold; Secondly, consumers feel more comfortable speaking directly with an automated system than interacting with a human representative; Thirdly, customers don’t have to worry about dealing with language barriers as most of these systems offer multilingual support; and finally – perhaps most importantly – using this type of technology has been proven to dramatically increase conversions rates due to its ability to engage visitors in meaningful conversations that lead them down the sales funnel.

                                    Now let us turn our attention towards the psychology behind this phenomenon – Why do people seem drawn towards having conversations with virtual agents instead of humans?

                                    The answer lies in something called ‘the uncanny valley theory’. This concept suggests that when something looks like it could be alive but isn’t quite perfect (such as robots), then we tend to trust them more than if it was realistic but still obviously not real (like animatronics).

                                    As such, when presented with something like a chatbot that appears human-like yet clearly isn’t real real-life person — we feel reassured because we know there won’t be any emotional responses from them or any judgments made against us for asking certain questions. Plus, we also get the benefit of being able to ask whatever question comes into our mind without feeling embarrassed or awkward about it – making conversation much easier overall!

                                    To Conclude:

                                    In conclusion, conversational AI chatbots are becoming increasingly popular among businesses that want an efficient way to provide customer service while boosting their conversion rates at the same time. With advanced conversational sales AI – Convert by Oriserve, you can supercharge your conversions and accelerate sales through contextual and human-like conversations. With access to conversational analytics and insights, you can automate up-selling and cross-selling at scale to improve customer lifetime values. 

                                    By understanding how humans react psychologically when interacting with digital assistants, companies can better leverage these technologies for maximum impact. So go ahead and give it a try.

                                    Are you looking for a way to increase sales and conversions on your website? Well, look no further than conversational AI chatbots.

                                    That’s right – these automated chatbots can help boost your conversion rate in ways you never thought possible.

                                    Let’s take a closer look at how they work and why they have become so popular. First of all, let’s talk about what exactly a conversational AI chatbot is. In simple terms, it is an artificial intelligence application that uses natural language processing (NLP) technology to interact with users. It can understand user input, respond appropriately by providing relevant information, and even suggest products or services based on customer behavior or preferences.

                                    So Why are People Turning Towards These Chatbots for Their Websites?

                                    There are several reasons. Firstly, it provides users with faster customer service since there is no need to wait on hold; Secondly, consumers feel more comfortable speaking directly with an automated system than interacting with a human representative; Thirdly, customers don’t have to worry about dealing with language barriers as most of these systems offer multilingual support; and finally – perhaps most importantly – using this type of technology has been proven to dramatically increase conversions rates due to its ability to engage visitors in meaningful conversations that lead them down the sales funnel.

                                    Now let us turn our attention towards the psychology behind this phenomenon – Why do people seem drawn towards having conversations with virtual agents instead of humans?

                                    The answer lies in something called ‘the uncanny valley theory’. This concept suggests that when something looks like it could be alive but isn’t quite perfect (such as robots), then we tend to trust them more than if it was realistic but still obviously not real (like animatronics).

                                    As such, when presented with something like a chatbot that appears human-like yet clearly isn’t real real-life person — we feel reassured because we know there won’t be any emotional responses from them or any judgments made against us for asking certain questions. Plus, we also get the benefit of being able to ask whatever question comes into our mind without feeling embarrassed or awkward about it – making conversation much easier overall!

                                    To Conclude:

                                    In conclusion, conversational AI chatbots are becoming increasingly popular among businesses that want an efficient way to provide customer service while boosting their conversion rates at the same time. With advanced conversational sales AI – Convert by Oriserve, you can supercharge your conversions and accelerate sales through contextual and human-like conversations. With access to conversational analytics and insights, you can automate up-selling and cross-selling at scale to improve customer lifetime values. 

                                    By understanding how humans react psychologically when interacting with digital assistants, companies can better leverage these technologies for maximum impact. So go ahead and give it a try.

                                  2. Conversational AI for OEM & Consumer Durables: The top 4 Use Cases (2025)

                                    Have you heard about the latest trend in the tech world? It’s all about conversational AI! According to a report by Juniper Research, 70% of chatbot conversations are expected to be done using retail conversational AI systems by 2025. That’s crazy, right?

                                    As an OEM or consumer durable company, it’s important to keep up with these advancements and the pressure is on to make sure you’re not falling behind. That’s where conversational AI comes in – it’s changing the game for how you interact with your customers. It’s all about creating a personalized and seamless experience.

                                    So, what exactly are some of the benefits of using conversational AI? Well, let us give you a rundown on 4 amazing use cases.

                                    Use Cases Of Conversational AI in OEM/Consumer Durable Industry

                                    1. Product Discovery & Awareness: Want to connect with your customers and help them discover your new products? With Ori’s conversational AI, you can create personalized product recommendations based on their preferences.
                                      It’s a win-win for everyone – your customers get exactly what they want and you see increased engagement and conversions.
                                    2. Being a Personalized AI Companion: According to Forrester’s research, 73% of the customers put convenience and value for their time as their first priority. That’s where conversational AI comes in as a personalized assistant.
                                      It helps guide customers through the information-gathering process and offers troubleshooting assistance. This improves the customer experience and ensures your product is used to its fullest potential.
                                    1. Predictive Affinity & Bias: With conversational AI, you can use predictive analytics to identify which customers are most likely to make a purchase. By using browsing and purchase history, you can deliver personalized product recommendations and increase your chances of converting leads into customers. One of our clients, a leading tech MNC, saw a 17% drop in acquisition costs and a 7% increase in average order value just by using our chatbot on their website.
                                    2. Smart Home Integration: Smart home systems are the future and conversational AI is the perfect technology to integrate with them. Customers can now use voice commands to operate linked appliances, lights, thermostats, and more. It’s all about enhancing the customer experience and driving engagement and product satisfaction.

                                    Wrapping Up:

                                    In conclusion, conversational AI is a disruptive technology for OEM and consumer durable companies. By using this technology, you can improve the customer experience, skyrocket sales, and drive sustained engagement. The possibilities are endless, and the future of customer interactions is looking bright.
                                    Are you curious about the potential of conversational AI for your brand? Book a demo with ORI, the No.1 platform recommended by Google and many others. Our expert team will show you how conversational AI can boost your brand and achieve your business goals in no time.

                                    Have you heard about the latest trend in the tech world? It’s all about conversational AI! According to a report by Juniper Research, 70% of chatbot conversations are expected to be done using retail conversational AI systems by 2025. That’s crazy, right?

                                    As an OEM or consumer durable company, it’s important to keep up with these advancements and the pressure is on to make sure you’re not falling behind. That’s where conversational AI comes in – it’s changing the game for how you interact with your customers. It’s all about creating a personalized and seamless experience.

                                    So, what exactly are some of the benefits of using conversational AI? Well, let us give you a rundown on 4 amazing use cases.

                                    Use Cases Of Conversational AI in OEM/Consumer Durable Industry

                                    1. Product Discovery & Awareness: Want to connect with your customers and help them discover your new products? With Ori’s conversational AI, you can create personalized product recommendations based on their preferences.
                                      It’s a win-win for everyone – your customers get exactly what they want and you see increased engagement and conversions.
                                    2. Being a Personalized AI Companion: According to Forrester’s research, 73% of the customers put convenience and value for their time as their first priority. That’s where conversational AI comes in as a personalized assistant.
                                      It helps guide customers through the information-gathering process and offers troubleshooting assistance. This improves the customer experience and ensures your product is used to its fullest potential.
                                    1. Predictive Affinity & Bias: With conversational AI, you can use predictive analytics to identify which customers are most likely to make a purchase. By using browsing and purchase history, you can deliver personalized product recommendations and increase your chances of converting leads into customers. One of our clients, a leading tech MNC, saw a 17% drop in acquisition costs and a 7% increase in average order value just by using our chatbot on their website.
                                    2. Smart Home Integration: Smart home systems are the future and conversational AI is the perfect technology to integrate with them. Customers can now use voice commands to operate linked appliances, lights, thermostats, and more. It’s all about enhancing the customer experience and driving engagement and product satisfaction.

                                    Wrapping Up:

                                    In conclusion, conversational AI is a disruptive technology for OEM and consumer durable companies. By using this technology, you can improve the customer experience, skyrocket sales, and drive sustained engagement. The possibilities are endless, and the future of customer interactions is looking bright.
                                    Are you curious about the potential of conversational AI for your brand? Book a demo with ORI, the No.1 platform recommended by Google and many others. Our expert team will show you how conversational AI can boost your brand and achieve your business goals in no time.

                                  3. 3 Ways Conversational AI is Reforming the Aviation Industry In 2025

                                    Air Arabia saw a 140% lift in bookings with Ori’s conversational AI. Ori created a personalized chatbot that assisted customers with custom meal upgrades, baggage upgrades, and payment drop-off recommendations. With these, the airline saw a huge uplift in revenues throughout the pre-boarding stage.

                                    Conversational AI has gained popularity across a number of industries, and the aviation sector is no different. It has various applications in the aviation industry that can enhance customer experience, optimize processes, and reduce costs.

                                    Let us look at three such conversational AI use cases that are reforming the aviation industry altogether.

                                    Use Cases of Conversational AI in the Aviation Industry

                                    #1 Automating Customer Service Processes & Boosting Sales:

                                    Conversational AI has the potential to boost airline sales by automating customer service processes. Airlines can use AI to identify consumer wants and preferences based on past travel patterns and then can respond to frequent customer inquiries about flight schedules, ticket costs, baggage allowance, etc.

                                    #2 Speeding up the check-in process:

                                    Another use case for conversational AI in aviation is in the check-in process. Many airlines are already using self-service kiosks for check-in, but these kiosks can be difficult for some customers to use. By using conversational AI, airlines can provide a more intuitive and user-friendly check-in experience.

                                    A consumer may, for instance, use a chatbot to check in for a flight by just entering their confirmation number and responding to a few questions. Customers would therefore experience a quicker and less frustrating check-in process.

                                    #3 Enhancing the In-Flight Experiences:

                                    According to a poll published by Travel Daily News, 75% of consumers said they heavily rely on chatbots for travel bookings, and 66% of them said they found travel chatbots “helpful” for doing so. Conversational AI can be used to improve the in-flight experience for such passengers.

                                    Airlines can use chatbots to provide flight information, such as the estimated arrival time and the current local weather. Passengers can also use these chatbots for ordering food and drinks and requesting special accommodations. This helps airlines to create a more personalized and enjoyable in-flight experience for passengers.

                                    Conclusion:

                                    In conclusion, conversational AI has many potential use cases in the aviation industry. It is already seeing the benefits of AI, and it’s expected that this technology will continue to be adopted by more and more airlines in the near future. With a proven track record of working and delivering the desired results for Air Arabia, Ori is the best in business for conversational services in 100+ languages and dialects.
                                    So if you’re in the aviation industry and looking to adopt Gen-AI Agents or want to know in depth how it can be deployed seamlessly across various mediums schedule a demo with us right away.

                                    Air Arabia saw a 140% lift in bookings with Ori’s conversational AI. Ori created a personalized chatbot that assisted customers with custom meal upgrades, baggage upgrades, and payment drop-off recommendations. With these, the airline saw a huge uplift in revenues throughout the pre-boarding stage.

                                    Conversational AI has gained popularity across a number of industries, and the aviation sector is no different. It has various applications in the aviation industry that can enhance customer experience, optimize processes, and reduce costs.

                                    Let us look at three such conversational AI use cases that are reforming the aviation industry altogether.

                                    Use Cases of Conversational AI in the Aviation Industry

                                    #1 Automating Customer Service Processes & Boosting Sales:

                                    Conversational AI has the potential to boost airline sales by automating customer service processes. Airlines can use AI to identify consumer wants and preferences based on past travel patterns and then can respond to frequent customer inquiries about flight schedules, ticket costs, baggage allowance, etc.

                                    #2 Speeding up the check-in process:

                                    Another use case for conversational AI in aviation is in the check-in process. Many airlines are already using self-service kiosks for check-in, but these kiosks can be difficult for some customers to use. By using conversational AI, airlines can provide a more intuitive and user-friendly check-in experience.

                                    A consumer may, for instance, use a chatbot to check in for a flight by just entering their confirmation number and responding to a few questions. Customers would therefore experience a quicker and less frustrating check-in process.

                                    #3 Enhancing the In-Flight Experiences:

                                    According to a poll published by Travel Daily News, 75% of consumers said they heavily rely on chatbots for travel bookings, and 66% of them said they found travel chatbots “helpful” for doing so. Conversational AI can be used to improve the in-flight experience for such passengers.

                                    Airlines can use chatbots to provide flight information, such as the estimated arrival time and the current local weather. Passengers can also use these chatbots for ordering food and drinks and requesting special accommodations. This helps airlines to create a more personalized and enjoyable in-flight experience for passengers.

                                    Conclusion:

                                    In conclusion, conversational AI has many potential use cases in the aviation industry. It is already seeing the benefits of AI, and it’s expected that this technology will continue to be adopted by more and more airlines in the near future. With a proven track record of working and delivering the desired results for Air Arabia, Ori is the best in business for conversational services in 100+ languages and dialects.
                                    So if you’re in the aviation industry and looking to adopt Gen-AI Agents or want to know in depth how it can be deployed seamlessly across various mediums schedule a demo with us right away.

                                  4. 4 Effective Use Cases of Conversational AI in Edtech (2025)

                                    The one industry that needs to quickly adapt to changing behaviors of the new generation is the Education Industry. Chatting is the primary medium of communication for most students. It is very unlikely that you have a teenager at home and you have not noticed the teenager frantically typing on the mobile phone. Not just students but even young adults today prefer to chat than an unplanned phone call.

                                    The adoption of AI in Education Institutes not only resolves the issue of real-time communication but also creates better ways of learning online. A testament to the impact of AI is the fact that one of the top five industries benefiting from its adoption is Education.

                                    Taking these points into consideration, the following blog will discuss four powerful use cases of conversational AI in the Education industry, in today’s fast-changing world.

                                    Use- Cases of Conversational AI in Educational Institutes

                                    Streamlining processes and Offering personalized recommendations:

                                    Around 60% of millennials have used conversational AI and 70% of them have had positive experiences. Conversational AI enables you to be present for new-age learners who seek recommendations. Many queries about courses, faculty, scholarships, etc. are occasionally sent to educational institutions.

                                    Chatbots guarantee that the students receive relevant information and the application to move forward as soon as possible. This helps in streamlining the enrollment process and makes it more efficient.
                                    Furthermore, conversational AI can also be integrated into marketing campaigns to provide personalized recommendations via WhatsApp, Facebook, and Instagram, for courses and programs based on a student’s interest. This targeted approach helps in increasing conversions and driving sales.

                                    Enhanced Learning Experiences:

                                    Conversational AI chatbots can enhance students’ conceptual understanding in a more rapid, effective, and interesting way. An educational chatbot helps students review key ideas before tests, conduct topical quizzes, or address general questions.

                                    Empathetic conversational design is the key to creating an effective educational chatbot. The chatbots can be programmed to help pupils establish connections like those between students and teachers.

                                    Automated program-related reminders:

                                    Sometimes students fail to check their mailboxes, missing out on critical information. EdTech chatbots can assist parents and students in staying up to date with new learning modules, exam dates, and course revisions.

                                     It enables educational institutions to send intelligent alerts and notifications to students directly over their preferred messaging channels.

                                    Enhanced Student Support:

                                    Schools, universities, or institutes may have superior faculty and a wide range of course offerings, but if they don’t actively respond to inquiries from potential students, they risk losing interest.

                                    Therefore, having a strong and efficient student support structure in place is important. Well-trained AI chatbots can provide prompt answers to FAQs about courses, fee payments, and other topics. Chatbots are capable of handling everything from providing assistance with the initial admissions process to daily class updates. Additionally, you can also ask for student feedback on your course via quick surveys.

                                    To Conclude:

                                    Due to rapid advancements in technology, the popularity of AI in Education has spiked. Oriserve helps Educational institutions in creating a consistent conversational experience across multiple channels in 120+ languages.

                                    Having worked with world-class brands like Education First, Ori’s conversational AI has the ability to boost sales, configure answers to FAQs, and offer Education-specific automation for workflows like course registration, exam notifications, etc.
                                    So, if you’re an institution wanting to boost marketing, sales, and customer service while also taking your e-learning platform to a whole new level, schedule a demo with Oriserve right away.

                                    The one industry that needs to quickly adapt to changing behaviors of the new generation is the Education Industry. Chatting is the primary medium of communication for most students. It is very unlikely that you have a teenager at home and you have not noticed the teenager frantically typing on the mobile phone. Not just students but even young adults today prefer to chat than an unplanned phone call.

                                    The adoption of AI in Education Institutes not only resolves the issue of real-time communication but also creates better ways of learning online. A testament to the impact of AI is the fact that one of the top five industries benefiting from its adoption is Education.

                                    Taking these points into consideration, the following blog will discuss four powerful use cases of conversational AI in the Education industry, in today’s fast-changing world.

                                    Use- Cases of Conversational AI in Educational Institutes

                                    Streamlining processes and Offering personalized recommendations:

                                    Around 60% of millennials have used conversational AI and 70% of them have had positive experiences. Conversational AI enables you to be present for new-age learners who seek recommendations. Many queries about courses, faculty, scholarships, etc. are occasionally sent to educational institutions.

                                    Chatbots guarantee that the students receive relevant information and the application to move forward as soon as possible. This helps in streamlining the enrollment process and makes it more efficient.
                                    Furthermore, conversational AI can also be integrated into marketing campaigns to provide personalized recommendations via WhatsApp, Facebook, and Instagram, for courses and programs based on a student’s interest. This targeted approach helps in increasing conversions and driving sales.

                                    Enhanced Learning Experiences:

                                    Conversational AI chatbots can enhance students’ conceptual understanding in a more rapid, effective, and interesting way. An educational chatbot helps students review key ideas before tests, conduct topical quizzes, or address general questions.

                                    Empathetic conversational design is the key to creating an effective educational chatbot. The chatbots can be programmed to help pupils establish connections like those between students and teachers.

                                    Automated program-related reminders:

                                    Sometimes students fail to check their mailboxes, missing out on critical information. EdTech chatbots can assist parents and students in staying up to date with new learning modules, exam dates, and course revisions.

                                     It enables educational institutions to send intelligent alerts and notifications to students directly over their preferred messaging channels.

                                    Enhanced Student Support:

                                    Schools, universities, or institutes may have superior faculty and a wide range of course offerings, but if they don’t actively respond to inquiries from potential students, they risk losing interest.

                                    Therefore, having a strong and efficient student support structure in place is important. Well-trained AI chatbots can provide prompt answers to FAQs about courses, fee payments, and other topics. Chatbots are capable of handling everything from providing assistance with the initial admissions process to daily class updates. Additionally, you can also ask for student feedback on your course via quick surveys.

                                    To Conclude:

                                    Due to rapid advancements in technology, the popularity of AI in Education has spiked. Oriserve helps Educational institutions in creating a consistent conversational experience across multiple channels in 120+ languages.

                                    Having worked with world-class brands like Education First, Ori’s conversational AI has the ability to boost sales, configure answers to FAQs, and offer Education-specific automation for workflows like course registration, exam notifications, etc.
                                    So, if you’re an institution wanting to boost marketing, sales, and customer service while also taking your e-learning platform to a whole new level, schedule a demo with Oriserve right away.