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Value Assistance Services (VAS) Platform Delivered to a Startup in Just 3 Months

Industry

Telecom, Fintech, Customer Engagement, Digital Services

Technologies

Java, Angular, MongoDB

About Our Client

The client is a growing Indian startup aiming to deliver innovative Value Assistance Services (VAS) for enterprises and end-users — offering digital tools that enhance communication, engagement, and productivity.

Challenge

The client envisioned a unified platform to provide multiple value-added digital services such as subscription management, customer engagement, and digital assistance. However, their initial operations were disconnected and manual:

  • Service activation and subscription management were handled through separate tools, causing delays and data mismatches.
  • Customer interaction channels were limited, leading to poor engagement and user retention.
  • Reporting and analytics were fragmented, making it difficult to measure performance.
  • No centralized admin control existed to manage services, users, or partner integrations.
  • Scalability and automation were key roadblocks in enabling rapid business growth.

Solution

HKCS was selected as the end-to-end technology partner due to its experience in developing scalable digital platforms with secure architecture and robust automation.

HKCS proposed a custom-built VAS Platform that centralized service management, enhanced automation, and enabled multi-channel digital engagement.

Team Composition

  • 1 Project Manager
  • 1 Lead Business Analyst
  • 2 Senior Angular Developers
  • 2 Java Backend Developers
  • 1 Senior QA Engineer

Key Features Delivered

Results

Within 3 months, HKCS delivered a fully functional and scalable VAS Platform, enabling the client to transition from manual processes to an automated, digital-first model offering:

  • Centralized management of all digital value services
  • Seamless user experience and faster service delivery
  • Improved customer engagement and retention
  • Enhanced operational visibility through data analytics
  • Scalable foundation for future service expansion

Technologies Used

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