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Development of a Scalable AI-Powered Customer Support Chatbot Integration
  1. case
  2. Development of a Scalable AI-Powered Customer Support Chatbot Integration

Development of a Scalable AI-Powered Customer Support Chatbot Integration

coderio.com
Financial services
Business services

Customer Support Challenges in Digital Banking Environments

The client faces increasing demand for seamless and efficient customer support across multiple digital platforms, with existing support infrastructure resulting in high operational costs, inconsistent user experiences, and unresolved customer pain points. There is a need for a unified, intelligent support system that can integrate across web and mobile channels to improve responsiveness and reduce support costs.

About the Client

A mid-to-large financial institution aiming to enhance customer service efficiency through digital transformation and AI-driven support tools.

Goals for Implementing an Integrated Support Chat Solution

  • Develop a versatile, scalable chatbot solution integrated across multiple digital platforms to provide consistent and accessible customer service.
  • Reduce call center workload and operational costs by automating routine queries and support interactions.
  • Enhance user engagement and satisfaction through an intelligent, responsive, and user-friendly support interface.
  • Create a flexible integration architecture that allows seamless onboarding and adaptability for future platform expansions.
  • Achieve measurable improvements in support efficiency and customer satisfaction metrics within the first 6 months post-deployment.

Core Functionalities for the Digital Support Chatbot System

  • A responsive web-based Progressive Web App (PWA) built with modern JavaScript frameworks such as ReactJS.
  • Multi-platform integration including web, iOS, and Android via embedded iFrames and WebView components.
  • Support for both human agent and automated chatbot interactions within a hybrid chat system.
  • Secure, token-based access for seamless integration across different digital channels.
  • Responsive design adaptable to various screen sizes and interaction modes (fullscreen, collapsible).
  • Customizable chatbot functionalities with precise response capabilities tailored to customer needs.
  • Ease of deployment and maintenance through a modular and scalable architecture.

Preferred Technologies for Support System Development

JavaScript
ReactJS
Progressive Web App (PWA)
Embedded iFrame
WebView

Necessary System Integrations

  • Digital banking ecosystem via secure access tokens
  • Mobile platforms (iOS and Android) through embedded WebView components
  • Existing support channels for hybrid interaction capabilities

Non-Functional System Requirements

  • Scalability to support increasing user loads with minimal latency
  • High availability and 99.9% uptime to ensure continuous support
  • Robust security measures for data protection and access control
  • Responsiveness across all supported devices and screen sizes
  • Easy integration and deployment process with minimal disruption

Expected Business Benefits from the Automated Support System

Implementation of the intelligent, multi-channel support chatbot is expected to significantly improve customer service efficiency, reduce operational costs by automating routine inquiries, and enhance customer satisfaction. Targeted outcomes include a measurable reduction in call center volume and support response times, with initial projections indicating support process improvements within the first 6 months post-launch.

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