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Here’s how Neobanks are Changing the CX game in Banking

4 minutes read

“To change behavior, products must ensure the user feels in control. People must want to use the service, not feel they have to.”― Nir Eyal

Our life revolves around Swiggy, Uber, Dunzo, Urban Clap, and hundreds of applications that give us instant service, usage insights (for example, Swiggy shows the amount of money saved per month through the application usage), rewards, and personalized notifications. Customers are now addicted to this kind of habit and want similar experiences everywhere. What if they can have a banking experience in the same way they order food over Zomato or book an Ola cab via a mobile app. Neobanks are the Swiggy, Zomato of the banking world. Neo is a Greek word that means new. Neobanks are the modern version of traditional banks. Let’s look at how neobanks are changing the CX game in banking industry.

NEO Banks and the Gen Z

Gen Z’s (Generation Z) are the newest addition to the banking world. This generation has a deeply embedded expectation that everything they search for or buy online will be tailored and delivered right away. 

Additionally, Gen Z is a value-driven generation that seeks more value for their money. Their expectations are hyper-personalized experience, prompt deliveries, and on-demand services, higher user engagement, and value for money. And neo banks have been the first movers in decoding these expectations. They are positioning their brand as an online platform for millennials and Gen Z, offering financial services at a touch of a button. Their USP is convenient and simple user experience

For example, Jupiter money- a 100% digital banking company designed to target Gen Z and Millennials- helps users open an account within 3 minutes. “Jupiter has 3 main areas of focus at the moment — increasing user engagement on the platform, investment options, and introducing consumer lending services, which will help them monetize the platform”, says the company’s founder and chief executive officer (CEO) Jitendra Gupta. 

Neobanks are making it easy for users to keep a track of their expenses, and save and plan their investments wisely. But what else is different about them? Why are Gen Z and millennials hooked on this modern banking platform? Well, it’s all about the first impression. Neobanks have built the mobile app keeping the new Generation’s daily routines, actions, and habits in mind. They studied user behavior patterns to determine what compels and ticks these newer customer segments. Here’s how neobanks are changing the CX game in banking to win customers: 

  1. Real-time financial insights at the tip of a button: Customers can track their spending, saving status, and every financial activity on the app. 
  2. Interactive & Conversational App Design: Neobank apps do not have any physical branch yet they are appealing because of their amazing UI and application design. The look and feel of the application is more youthful and vibrant with a minimalistic design. Their focus is on user experience design and functionality, both.
Here's How Neobanks are Changing the CX Game in Banking
Here's How Neobanks are Changing the CX Game in Banking

Source: Jupiter

  1. Rewards & Benefits: Neobanks offer attractive offers and rewards to bring back users repeatedly on the app and retain them. For instance, customers get a 1% reward on all UPI and debit card purchases using Jupiter Money. They can also track their reward earnings in real-time. 

Where are the Traditional Banks heading towards?

Conventional banks focus more on the functionality of the application. Earlier, customers had to visit the branch physically to avail of banking services. Now they focus on bringing the banking service to the user’s ecosystem. Data and AI-driven personalization have been helping banking institutions to create seamless customer journeys for the users. They are leveraging technologies like metaverse, Virtual Reality (VR), and Augmented Reality (AR), to create offerings in the virtual world. Their USP (Unique Selling Proposition) is Customer Engagement. Gen Z is spending most of the time in this virtual space. Banks are leaving no stones unturned to mark their presence in the customer’s ecosystem. How? By creating an immersive experience for these users in the virtual space. IndusInd Bank launched a video branch, which allows customers to communicate with their bank executive in real-time. 

JP Morgan opened a lounge- Onyx in Decentraland. Bank of America launched VR training in over 4,300 financial centers. Lynx is working on introducing 1) A cryptocurrency-based game that allows players to create, earn and sell digital items with financial value and 2) An“enhanced remittance experience”:  A digital meeting space that allows those sending money to loved ones to visit and communicate with them in a “streamlined, entertaining, economical, and secure” manner.

The Road Ahead:

The Reserve Bank of India hasn’t allowed banks to become fully digital. This is one of the major challenges for Neobanks. Having a completely digital presence, they do not have a license. But they do have the technical expertise and Gen Z’s attention.

Neobanks with their technological expertise & Conventional banks with years of experience can together bridge the existing customer experience gap in the banking industry. Niyo, Jupiter, Razorpay have partnered with the traditional banks to deliver a seamless digital banking experience for their customers. According to the Redseer Strategy Consulting report, partnership profits both, giving neobanks a strong position and traditional banks access to young, tech-savvy customers. Recently, Visa and AI-driven neo bank OneBanc Technologies teamed up to launch the first magnetic-strip-free debit and credit cards in India. More than 300,000 new accounts with neo-banking partners have been launched by Federal Bank. 

In the end, it’s all about creating the best customer experience. And working in silos might turn out to be a disaster for both parties. Healthy cooperation may definitely help win customers. 

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Conversational UI in Healthcare: Enhancing Patient Interaction with Chatbots

As healthcare becomes more patient-centric, the demand for efficient and personalized care continues to grow. One of the key technologies that have gained traction in this domain is Conversational UI (CUI) — a user interface where interactions occur through natural language, often with the help of chatbots. For developers, building a robust CUI in healthcare requires a balance of technical proficiency, understanding of the healthcare landscape, and empathy toward patient needs. Let’s explore how CUI can improve patient interactions through chatbots and what developers should consider during implementation.

Why Conversational UI is Gaining Popularity in Healthcare

From scheduling appointments to answering medical queries, healthcare chatbots have become vital tools for enhancing patient engagement and streamlining healthcare workflows. Conversational UIs enable these chatbots to interact with patients naturally, making them accessible even to non-tech-savvy users. By incorporating AI and NLP (Natural Language Processing), chatbots can now simulate human-like conversations, ensuring patients receive timely, relevant responses. 

Image credit: https://www.analytixlabs.co.in/blog/ai-chatbots-in-healthcare/ 

Key Areas Where Chatbots Are Revolutionizing Healthcare

  1. Appointment Scheduling and Reminders – Chatbots can automatically schedule appointments based on patient availability and send reminders before the visit, reducing no-show rates. For developers, this feature requires integration with hospital management systems (HMS) and calendar APIs. The challenge lies in ensuring secure and real-time data transfer while adhering to healthcare compliance standards like HIPAA.
  1. Medical Query Resolution– Chatbots equipped with NLP can answer common patient questions related to symptoms, medications, and treatment plans. This reduces the burden on healthcare providers, allowing them to focus on more critical tasks. Developers working on this feature need to consider integrating medical databases, such as SNOMED CT or ICD-10, for accurate and up-to-date information.
  1. Patient Monitoring and Follow-ups – Post-discharge, chatbots can monitor a patient’s condition by regularly asking for health updates (e.g., vital signs or medication adherence). Developers can integrate IoT devices, such as wearable health monitors, with chatbot platforms to collect real-time data, providing healthcare professionals with actionable insights.
  1. Mental Health Support – Chatbots have shown promise in offering mental health support by providing patients with an outlet to discuss their feelings and receive advice. Building these chatbots involves training them on therapeutic conversational frameworks like Cognitive Behavioral Therapy (CBT), ensuring they offer relevant advice while recognizing when a human intervention is required.

Key Considerations for Developers

1. Natural Language Processing (NLP) and AI Training

NLP plays a pivotal role in enabling chatbots to understand and process patient queries effectively. Developers must focus on the following:

Training Data: Start by gathering extensive datasets that include real-life medical queries and patient conversations. This ensures that the chatbot can recognize various intents and respond appropriately.

Multi-language Support: Healthcare is global, so building multi-lingual capabilities is critical. Using tools like Google’s BERT or Microsoft’s Turing-NLG models can help chatbots understand context in different languages.

Contextual Understanding: The chatbot must not just respond to individual queries but also maintain the context across the conversation. Developers can use contextual models that preserve the state of the conversation, ensuring personalized patient interactions.

2. Security and Compliance

Healthcare chatbots handle sensitive patient information, making security a top priority. Developers must ensure compliance with regulations such as HIPAA (Health Insurance Portability and Accountability Act) in the U.S. and GDPR (General Data Protection Regulation) in Europe. Key practices include:

  • Data Encryption: All communication between the chatbot and the server must be encrypted using protocols like TLS (Transport Layer Security).
  • Authentication Mechanisms: Implement two-factor authentication (2FA) to verify patient identity, especially for sensitive tasks like accessing medical records.
  • Anonymization: To avoid accidental data breaches, ensure that the chatbot anonymizes data where possible.

3. Seamless Integration with EHR Systems

For chatbots to be truly effective in healthcare, they must integrate seamlessly with Electronic Health Record (EHR) systems. This requires a deep understanding of healthcare APIs like FHIR (Fast Healthcare Interoperability Resources) or HL7. Developers should aim to:

  • Enable Real-time Updates: Ensure that chatbot interactions (e.g., new appointment schedules, and symptom checks) are instantly reflected in the patient’s EHR.
  • Avoid Data Silos: Ensure that all systems (EHR, chatbot, scheduling system) can communicate with each other, eliminating data silos that can lead to fragmented patient information.

4. Scalability and Performance Optimization

In healthcare, downtime can be critical. Developers need to ensure that chatbots are scalable and capable of handling thousands of patient interactions simultaneously. Using cloud-based platforms (AWS, Google Cloud) that offer auto-scaling capabilities can help. Additionally, performance optimization can be achieved by:

  • Caching Responses: Store frequently used responses (such as FAQs) in memory to speed up interaction times.
  • Load Balancing: Implement load balancers to distribute incoming queries across servers, ensuring no single server is overwhelmed.

Tools and Platforms for Building Healthcare Chatbots

Several tools and platforms can aid developers in building healthcare chatbots with conversational UIs:

  1. Dialogflow (Google): Offers pre-built healthcare intents and integrates with Google Cloud’s healthcare APIs.
  2. Microsoft Bot Framework: A scalable platform that integrates with Azure services and offers AI-driven insights.
  3. Rasa: An open-source NLP tool that provides flexibility in creating highly customized healthcare bots.

Conclusion

Conversational UI in healthcare is transforming patient care by offering real-time, scalable, and personalized interactions through chatbots. However, for developers, building these systems goes beyond programming chatbots — it involves understanding the unique challenges of healthcare, from regulatory compliance to seamless integration with hospital systems. By focusing on NLP capabilities, ensuring security and privacy, and integrating with existing healthcare infrastructure, developers can create chatbots that not only enhance patient interaction but also alleviate the burden on healthcare providers.

References

  1. NLP in Healthcare: Opportunities and Challenges
  2. HIPAA Compliance for Chatbots

About the Author:

Shristi is a creative professional with a passion for visual storytelling. She recently transitioned from the world of video and motion graphics to the exciting field of product design at Mantra Labs. When she’s not designing, she enjoys watching movies, traveling, and sharing her experiences through vlogs.

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