Digital Agri Marketplace Solution with AI-based Quality Checking, Listing, and Trading

Case Study

Challenges

An agribusiness giant operating 7,500+ warehouses in India and Myanmar aimed to modernize their commodity trading and quality inspection processes. They faced issues with slow and inaccurate quality assessments, particularly in dimly lit warehouses, and were relying on outdated methods like MATT-based testing, which took up to three days for lab-based quality checks, causing delays in operations.

Our Solution

  • Developed an AI-powered mobile app for instant grain quality assessments.
  • Integrated AI/ML algorithms for grain classification and quality control.
  • Implemented high availability, scalability, and seamless integration with client systems.
  • Designed a QC module using computer vision and AI/ML for real-time accuracy.

Benefits

  • Achieved 99% efficiency improvement with instant assessments in 3-4 seconds.
  • Provided local language support and expanded market reach for farmers and traders.
  • Enabled real-time decision-making through AI-driven cloud optimization.
  • Realized 20% cost savings on resources with effective scaling on AWS.

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