Imagine a smart store manager who constantly watches what customers are buying, what competitors are charging, and how much stock you have left—and then adjusts your prices and reorders inventory automatically every hour to maximize profit while avoiding stockouts and dead stock.
Reduces revenue leakage from static or poorly set prices and minimizes lost sales or excess inventory by continuously optimizing prices and inventory levels using real-time data.
Combination of proprietary demand and transaction data, historical pricing data, and embedded integration into ecommerce and supply-chain workflows that make the system sticky and continuously improving.
Hybrid
Time-Series DB
High (Custom Models/Infra)
Training and serving multiple demand-forecast and pricing models across thousands of SKUs with low latency, plus data quality and integration across ecommerce, ERP, and supply-chain systems.
Early Majority
Focus on combining real-time demand forecasting with automated pricing and inventory decisions specifically tuned for ecommerce, going beyond simple rule-based discounts to multi-factor optimization (demand, seasonality, competition, stock levels, and margins).