Retail
Revenue Optimization using AI
32% increase in revenue through AI-driven pricing and demand forecasting.
RetailMax partnered with Bavanex to deploy a dynamic pricing engine powered by machine learning, transforming how they respond to market demand across 2,000+ SKUs.
The Challenge
Static pricing models failed to capture real-time demand signals, leading to margin erosion and lost revenue during peak seasons.
Our Solution
We built a predictive pricing platform integrating POS data, competitor intelligence, and weather patterns into a unified ML pipeline with automated price recommendations.
Key Outcomes
- 32% revenue increase in targeted categories
- 18% improvement in gross margin
- Real-time pricing updates across 500+ stores
- Reduced manual pricing workload by 85%