From Chaos to Clarity: AI-Powered Pricing & Inventory as the New Margin Engine

Monday, January 12, 9:15am - 10:00am (EST)

Time shown in-04:00 America, New York

Retailers are navigating unprecedented pressure on both profitability and customer experience. Stockouts erode sales, overstocks drain margin, and legacy playbooks can’t keep pace with volatility. In this session, Prashant Agrawal, CEO of Impact Analytics, will reveal how AI-native pricing and inventory are working together as a new margin engine, delivering results today, not tomorrow.

The discussion will feature practical use cases where AI agents are driving impact at scale: pinpointing SKU-level elasticity to sharpen competitive strategy, managing KVIs/KVCs to protect price image while unlocking incremental margin, simulating promotional and competitive scenarios before execution, automating price updates and replenishment triggers, reallocating stock dynamically across stores and channels, and modeling disruption scenarios to maintain agility.

Retail leaders will leave with actionable steps to boost in-stock rates, reduce waste, and lift gross margin and EPS, demonstrating that AI is no longer experimental, but a bottom-line growth driver.

Add to Calendar 2026/01/12 09:15:00 2026/01/12 10:00:00 America/New_York From Chaos to Clarity: AI-Powered Pricing & Inventory as the New Margin Engine Retailers are navigating unprecedented pressure on both profitability and customer experience. Stockouts erode sales, overstocks drain margin, and legacy playbooks can’t keep pace with volatility. In this session, Prashant Agrawal, CEO of Impact Analytics, will reveal how AI-native pricing and inventory are working together as a new margin engine, delivering results today, not tomorrow.

The discussion will feature practical use cases where AI agents are driving impact at scale: pinpointing SKU-level elasticity to sharpen competitive strategy, managing KVIs/KVCs to protect price image while unlocking incremental margin, simulating promotional and competitive scenarios before execution, automating price updates and replenishment triggers, reallocating stock dynamically across stores and channels, and modeling disruption scenarios to maintain agility.

Retail leaders will leave with actionable steps to boost in-stock rates, reduce waste, and lift gross margin and EPS, demonstrating that AI is no longer experimental, but a bottom-line growth driver. Expo, Level 1, Expo Stage 2 | Session: BI42, Javits Center, NYC false MM/DD/YYYY 1440 OPAQUE aOqARCKpgztkvluVdmHw323854

Expo, Level 1, Expo Stage 2 | Session: BI42, Javits Center, NYC

Impact Analytics, marketing@impactanalytics.co

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