Ravi Teja Pagidoju

Ravi Teja Pagidoju

Ravi Teja Pagidoju is a professional MBA student at Campbellsville University having experience of building AI/ML systems for retail optimization and supply chain. He holds an MS in Computer Science and has published research on hybrid LLM-optimization approaches in IEEE and Springer publications.

Artificial Intelligence (AI), Merchandising, E-Commerce

How I Combined GPT With Classical Optimization to Make Retail AI 85% Faster

March 16, 2026 at 4:43 pm

In large retail operations, category management teams spend significant time deciding which product goes onto which shelf and in which order. Shelf space is very expensive real estate in retail. According to Consumer Packaged Goods(CPG) Research, 10 percent improvement in shelf availability can drive a 5 percent sales lift. Shelf updates don’t happen frequently because…