Streamlining Data Request Responses: NLP-Driven Assistant For Merchant Account Managers

Project Overview

Indium developed a comprehensive search engine integrated with the client’s data ecosystem, providing insights and outputs based on historical data. The system targets Merchant Account Relationship managers who handle a wide range of data requests regularly. Currently, the Account Managers rely on Data Analysts for the necessary information and analysis, leading to potential delays caused by data exploration, intricate logic design, brainstorming, and time zone differences between the teams. The search engine built by Indium streamlined this process, enabling faster and more efficient access to essentia data and analysis for improved decision-making.

About Client

The client is a global technology giant that operates through a mobile app. With a presence in over 900 metropolitan areas worldwide, the client has revolutionized the transportation industry, providing convenient and affordable alternatives to traditional taxis. The client is also actively expanding into other logistics areas.

Business Challenges

  • The client faced the challenge of finding the most suitable and automated solution for the last-mile operations.
  • Previously, the data analyst team had been manually handling data requests, analysis, and dashboard generation over an extended period.
  • Recognizing the significance of the historical data and its correlation to query solutions, the Client wanted to leverage these data to improve operational efficiency.