Next-Gen Pricing Intelligence: Applying Machine Learning to Optimize Complex Enterprise Discounts

About the Session

As global supply chains tighten, businesses are under pressure to optimize pricing without eroding customer trust. This session reveals how we infused ML into a large-scale pricing and deviation platform serving 10,000+ global ship-to addresses. You’ll learn how supervised models predict optimal discounts, how anomaly detection flags pricing fraud in near-real time, and how microservice APIs push predictions into ERP workflows under 500 ms. We’ll also tackle change management: building stakeholder confidence, aligning audit processes, and training teams to trust ML-driven recommendations. Attendees will leave with a blueprint for embedding predictive intelligence into complex enterprise systems—where precision, transparency, and regulatory rigor are paramount. What’s your talk about? Real-world implementation of ML for pricing optimization in B2B ecosystems—blending data pipelines, microservices, and model explainability. What audience will get: • Frameworks for embedding ML in high-stakes, audit-heavy workflows • Tips on gaining executive buy-in for data-driven pricing • Lessons learned balancing automation and human oversight Target audience: Data scientists, pricing managers, product managers, enterprise architects.

Speaker

Bhaskar Bharat Sawant

Cornerstone Building Brands(Chelsoft Solutions), Team lead