Retailers are navigating relentless pressure on both margins and customer experience. Stockouts erode sales. Overstock drains profitability. Outdated pricing and replenishment playbooks can’t adapt to today’s volatility. The solution: AI-powered pricing and inventory working together as a new margin engine.

In this session with Impact Analytics and a leading retail client, we’ll break down how AI agents are already delivering measurable results:

• Pinpointing price elasticity down to the store-SKU level to refine competitive strategy.
• Identifying and managing KVIs/KVCs to protect price image while unlocking incremental margin.
• Running what-if simulations to test promotional and competitive scenarios before executing.
• Automating price updates and replenishment triggers so teams can focus on strategy, not manual tasks.
• Dynamic demand forecasting and stock reallocation across stores and channels to maximize in-stock rates.
• Scenario modeling for disruption to ensure agility under shifting demand or supply constraints.

We’ll also address the common pitfalls that derail AI pilots - data quality, organizational alignment, and change management - and provide a practical playbook for scaling.

Key Takeaway: Attendees will leave with specific, executable steps to improve in-stock rates, reduce waste, and lift gross margin and EPS - proving that AI isn’t an experiment, but a bottom-line engine for growth.