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Enterprise Customer Support Platform Modernization with Omnichannel and Edge Case Handling
  1. case
  2. Enterprise Customer Support Platform Modernization with Omnichannel and Edge Case Handling

Enterprise Customer Support Platform Modernization with Omnichannel and Edge Case Handling

bilberrry.com
Business services

Challenges Faced by Legacy Customer Support Systems

The client operates a long-standing, feature-dense customer support chat platform running on outdated Java frameworks, which hampers efficiency and scalability. Support agents manage high volumes of multi-channel interactions, with complex customizable features and edge cases such as deep folder nesting and extensive tagging. The current UI does not prioritize end-customer focus nor accommodate the needs of power users, leading to inefficiencies and potential customer impact.

About the Client

A large, established enterprise specializing in customer support solutions, serving multiple industries with a need to overhaul legacy systems to a cloud-based, intuitive platform.

Goals for the Customer Support Platform Revamp

  • Redesign and rebuild the customer support platform to be cloud-based, scalable, and intuitive for support agents.
  • Implement an omnichannel portal to unify chat, email, and other communication channels with a focus on end-customer experience.
  • Create a flexible, scalable UI that can handle complex legacy features, including deep tagging and nesting, without bloat.
  • Ensure responsive design for varied device sizes, with minimal disruption to existing workflows.
  • Facilitate a smooth beta deployment through close collaboration with in-house engineering teams.
  • Increase agent productivity and customer satisfaction through improved usability and workflow efficiency.

Core Functional and Technical Capabilities for the New Support Platform

  • Unified omnichannel interface enabling seamless chat, email, and other communication channels for support agents.
  • Persistent customer information display, including customer name and context, visible at all times to support end-user focus.
  • Multi-panel layout: a dedicated queue and conversation view with additional information accessible via a collapsible right panel.
  • Transcript viewing functionality that allows agents to review prior conversations without losing current context, with transcripts displayed on the right panel.
  • Design accommodating extensive nested folder systems and tagging without hierarchy limitations, using a folder-based UI that supports deep nesting and multiple tags.
  • Responsive design optimized for various devices, with a simplified hamburger menu for mobile environments.
  • Design decisions guided by real data to optimize usability across organizational sizes and industry-specific edge cases.

Technological and Architectural Preferences for Development

Cloud-based web application architecture
Responsive design frameworks
UI/UX prototyping tools
Modular front-end development (e.g., React, Angular)
Design systems for consistency

External Systems and Data Integrations Needed

  • Customer database systems for real-time customer details
  • Legacy chat and email systems for seamless transition and data migration
  • Authentication and authorization services
  • Analytics and logging platforms
  • Internal workflow and ticket management systems

Performance, Security, and Usability Expectations

  • Scalability to support thousands of concurrent agents and interactions
  • High performance with minimal latency to ensure real-time support
  • Security compliance, including data privacy for customer information
  • Accessibility and responsiveness for various device types
  • Ease of maintenance with minimal added complexity for new features

Projected Business Benefits of the Support Platform Overhaul

By modernizing the support platform with an omnichannel and user-centric design, the client aims to significantly improve agent productivity, reduce support resolution times, and enhance end-customer satisfaction. The platform's scalable and flexible architecture is expected to accommodate complex legacy features and client-specific workflows, ensuring long-term viability and customer loyalty.

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