A regional fashion retailer was losing margins and customer loyalty due to inconsistent pricing between its physical stores and online channels. TechWish deployed an AI-based elasticity modeling engine to optimize pricing in real time using demand signals, competitor trends, and inventory levels. The solution aligned pricing across platforms, eliminated inefficiencies, and improved margin performance—empowering pricing teams with smarter tools to act faster and more confidently during peak retail cycles
Snapshot:
- AI-based pricing aligned online and in-store strategies
- Real-time elasticity modeling using reinforcement learning
- Integrated with Shopify, POS, and inventory tools
- Boosted trust and repeat purchases with price transparency
