AI-Powered Agri Trading: Real-Time Grain Quality Assessment & Marketplace Automation for a Global Agribusiness

Case Study

Customer

A multinational agribusiness enterprise operating 7,500+ warehouses across India and Myanmar, managing large-scale commodity procurement, storage, and trading. Their operations demanded precision, speed, and scalable digital infrastructure. 

Industry

Agriculture

Commodity Trading

AgriTech

Intelligent Automation

Solution Area

AI/ML Quality Analysis

Computer Vision

Digital Marketplace

Cloud Optimization

Challenge

Warehouse teams struggled with slow, outdated, and highly manual quality inspection processes. Traditional MATT-based testing required up to three days for lab validation, creating operational delays and inconsistencies, especially in dimly lit, high-volume storage sites.  

Benefits

  • Instant quality assessments in 3–4 seconds using AI-powered mobile vision 
  • 99% improvement in inspection accuracy and speed 
  • Real-time grain classification and automated listing on digital marketplace 
  • 20% cost savings through optimized cloud scaling on AWS 
  • Local language support enabling broader farmer and trader participation 
  • Seamless integration with warehouse, procurement, and trading systems 

Get the full case study to learn how a global agribusiness modernized quality inspection and commodity trading through AI-enabled digital transformation. 

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Testimonial

What once took days in a lab now happens in seconds on a mobile device. It has completely reshaped how our warehouses operate and how fast we can trade.

— Chief Operations Officer, Global Agribusiness