Case Study

Helping a Retailer Unlock Pricing Power

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?

The Results

4–6% Margin

Improvement in key focus categories

80% Automation

Of pricing insights, with human review before going live

This transformation combined GenAI-driven intelligence with deep category understanding from the client's own teams—delivered over a focused 3-month engagement.

The Journey: A 3-Month Pricing Transformation

Month 1
Structuring the Pricing Data

The client had data spread across ERP, POS, and markdown histories. We unified all relevant sources into a connected, traceable pricing layer.

  • Data Integration Agent unified SKU-level sales, store formats, competitive pricing
  • Data Cleaning Agent flagged quality issues with analyst validation
  • Worked with client analysts on complex discount logic
Month 2
Enabling AI-Powered Pricing Intelligence

With clean data in place, we deployed our Pricing Intelligence Agents with weekly working sessions for business context.

  • Elasticity Agent: Modeled price sensitivity by region and channel
  • Competitor Agent: Parsed third-party price data for gaps
  • Simulation Agent: Enabled 'what-if' pricing scenarios
Month 3
Embedding Insights into Workflows

AI insights are only valuable if they lead to action. We built human-centered workflows to drive execution.

  • Manager Dashboards: Highlighted pricing outliers and opportunities
  • AI Recommendations with Human Review: Validated before POS systems
  • Strategic Override Mechanisms: Prompted discussion for hero SKUs

AI Agents + Human-in-the-Loop

Agent TypeRole
Data Integration AgentUnified pricing, sales, competitor, and inventory data
Data Cleaning AgentFlagged and resolved inconsistencies with expert input
Elasticity AgentModeled price responsiveness, validated with business judgment
Competitor AgentMined external data, filtered for quality by analysts
Simulation AgentPowered scenario modeling for team-based decision making
Insight AgentDelivered curated suggestions—never blindly executed

These agents didn't replace pricing analysts—they augmented them, helping them work faster, with more precision and confidence.

The Impact: Smarter Pricing, Powered by People and AI

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

Final Thoughts

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.

Ready to Unlock Your Pricing Power?

Bring intelligence (not just automation) into your pricing strategy with our human-centered AI approach.