Client Overview
Our client is a public warehouse operator that provide logistics support to the agricultural sector. With a network of 421 warehouses in India, with its 2880 personnel and import and export warehousing facilities at its 36 Container Freight Stations in ports and inland stations. It handles services for more than 400 commodities.
Challenge
The Client had to go to the multi-dashboard navigation for each business insight.
The Client had to select the filter every time they needed a report which took too much time.
Operational decision pending due to data latency.
The adoption was tough among non-tech business leaders.
Report generation was taking 5-10 mins for each report.
Our Solution
Despite a modern, governed analytics stack on AWS and Dashboarding UI, business users struggled to extract timely insights, which were critical for warehouse storage, maintenance, security, and transportation. Our team of AI experts understood the business need and deployed an AI LLM layer that allows users to question complex analytics using natural language without altering a single data pipeline, business logic rule, or governance control. The solution helped them to check the change in a couple of seconds.
Business Outcome
Post our solution implementation, our client noticed significant improvement among non-technical business leaders by eliminating complex dashboard navigation and simplifying access to critical warehouse insights, helping teams save significant time in report generation and decision-making.
Tech Stack
