In the fast-moving world of retail, pricing is one of the most powerful yet underused levers for growth. We recently partnered with a leading multi-brand retailer to solve a critical challenge: How can we price smarter—by store, product, and region—while keeping human judgment at the center of the process?
This transformation combined GenAI-driven intelligence with deep category understanding from the client's own teams—delivered over a focused 3-month engagement.
| Agent Type | Role |
|---|---|
| Data Integration Agent | Unified pricing, sales, competitor, and inventory data |
| Data Cleaning Agent | Flagged and resolved inconsistencies with expert input |
| Elasticity Agent | Modeled price responsiveness, validated with business judgment |
| Competitor Agent | Mined external data, filtered for quality by analysts |
| Simulation Agent | Powered scenario modeling for team-based decision making |
| Insight Agent | Delivered curated suggestions—never blindly executed |
These agents didn't replace pricing analysts—they augmented them, helping them work faster, with more precision and confidence.
Pricing teams gained a trusted decision support system, not just a black box
Analysts and category managers could focus on strategy, not data prep
Store- and region-level price decisions were more consistent, data-backed, and explainable
In pricing, context is everything—and that's where many AI systems fall short. At ZapSight, we don't just deliver models; we embed AI in a workflow where humans stay in control.
The result? Smarter pricing, stronger margins, and a more confident pricing team.
Bring intelligence (not just automation) into your pricing strategy with our human-centered AI approach.