AI Retail Dynamic Pricing
AI Retail Dynamic Pricing ingests real-time demand, competitor, and inventory data to automatically set and adjust prices across channels. It personalizes offers by segment, optimizes promotions and markdowns, and continuously tests price points. Retailers use it to grow revenue and margin while reducing manual pricing effort and stockouts.
The Problem
“Dynamic pricing that reacts to demand, competition, and inventory in near real time”
Organizations face these key challenges:
1
Margin erosion from slow price reactions to competitor moves and demand spikes
2
Inconsistent pricing rules across channels (web, app, stores, marketplaces)
3
Promo/markdown decisions based on gut feel, leading to over-discounting
4
Stockouts or excess inventory because pricing doesn’t account for inventory position