This is like a smart price tag system for online stores that continuously adjusts prices—much like airline tickets change—so you’re never leaving easy money on the table or over-discounting products.
Retailers struggle to pick the right price at the right time for each product and customer segment, leading to lost revenue, excess discounting, and slow-moving inventory. Dynamic pricing strategies use data and automation to optimize prices continuously instead of relying on static or manual price updates.
Tight integration with ecommerce workflows and historical store data, combined with proprietary pricing rules, demand signals, and recommendation logic that get better as more customer and transaction data flows through the system.
Classical-ML (Scikit/XGBoost)
Structured SQL
Medium (Integration logic)
Real-time pricing updates at scale (latency and API throughput) and data quality/coverage across product catalog, traffic, and competitive signals.
Early Majority
Positioned at the intersection of product recommendations and pricing, tying price optimization tightly to merchandising and personalization flows rather than offering a stand-alone pricing engine.