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Prashant Agrawal

Prashant Agrawal

CEO and Founder

Impact Analytics


Prashant is the visionary CEO of Impact Analytics™, a software and services company that has been driving AI-led innovation for nearly a decade. Fortune has named Impact Analytics one of America’s Most Innovative Companies, and the firm has ranked on the Inc. 5000 Fastest-Growing Companies list for seven consecutive years. In 2024, the Financial Times also recognized it as one of America’s Fastest-Growing Companies for the fifth year in a row.

From founding the company to scaling it globally, Prashant has championed the belief that artificial intelligence and machine learning would redefine the future of retail. That vision has become reality. Impact Analytics has transformed grocery, fashion, and CPG with data-driven, customer-centric solutions. Today, leading retailers—including Coach, Dollar General, Ralph Lauren, BJ’s Wholesale Club, and Pet Supplies Plus—trust the platform to power machine-learning-driven forecasting, planning, and pricing decisions across the supply chain.

An Ernst & Young Mid-Atlantic Entrepreneur of the Year, Prashant is a serial entrepreneur with prior experience at McKinsey & Company and Boston Consulting Group. He has been a columnist and contributing editor for GQ India, a columnist for Mint-WSJ, and has written op-eds for the NYT, FT, WSJ, and CNBC.

A Columbia University alum, Prashant also teaches at his alma mater, where he leads a pioneering course on AI and advanced analytics in retail. As both entrepreneur and educator, he continues to shape the next generation of innovators and the future of retail.

Speaking in:

Sunday Jan 11

3:15pm - 3:45pm

Exhibitor Big Ideas Stage 2

From pilots to profit - Agentic AI at scale

90% of AI pilots fail to scale - but IDC research found that the ones that succeed can deliver $3.5 back for every $1 invested. In this session with leaders from Impact Analytics and a retail client speaker, we’ll explore how Agentic AI moves retail from automation to autonomous decision-making - with measurable ROI.

We’ll walkthrough specific use cases you can act on now:

  • Phantom Inventory Analyzers that uncover hidden stock losses and eliminate shrink.

  • Promotion Optimizers to test and deploy promotions that yield strong margin lift.

  • Dynamic Pricing Agents that respond in real time to demand shifts.

  • Replenishment Agents that anticipate where stock is needed - before problems arise.

You’ll leave with a tactical playbook: how to identify low-hanging, high-impact use cases; how to build safe guardrails; and how to operationalize agentic workflows so your EPS and EBITDA really benefit—not just in theory, but this fiscal year.

Monday Jan 12

9:15am - 10:00am

Exhibitor Big Ideas Stage 2

From chaos to clarity: AI-powered pricing & inventory as the new margin engine

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.