Prabal Chaudhri

Head of AI Products Cogentiq e-commerce by Fractal

Prabal Chaudhri is Head of CPG Products at Fractal, where he leads the transformation of consumer goods enterprises into the next era of human–AI collaboration — one in which intelligent agents fundamentally reshape how brands harness data, make decisions, and drive growth.

With over 20 years of experience across consumer goods, food, retail, technology, and eCommerce, Prabal brings a rare blend of operator instinct and analytical foresight. As a founder, he built and scaled a high-protein snack brand from zero to distribution in more than 8,000 U.S. retail doors including Walmart, CVS, Sprouts, and Meijer, while simultaneously growing a high-performing Amazon and direct-to-consumer business. Navigating real-world challenges in demand forecasting, shelf optimization, and omnichannel analytics gives him a uniquely grounded perspective on what it takes to turn data into competitive advantage in CPG.

Prior to entrepreneurship, Prabal held senior leadership roles at Procter & Gamble, Biogen, and SharkNinja, where he led global product launches, brand management, digital transformation, and multi-market growth initiatives.

He holds an MBA from Northwestern University's Kellogg School of Management. Outside of work, Prabal is a sports enthusiast, an advocate for early-stage startups, and an avid follower of the future of food and emerging consumer innovation.

Monday, August 10: Summit Day

2:25 PM AI & the Customer Journey: AI Demos - 4x

Join four cutting edge solution providers as they each give a ten-minute demo surrounding their AI specific technology.

1. Preparing Your Product Data for ChatGPT and Agentic Commerce

AI assistants like ChatGPT are becoming the new shopping interface, and most product catalogs aren't ready. But AI discovery is just the newest symptom of an old problem: sparse, inconsistent product data that also drags down site search, conversion, and the entire shopping experience. Learn what complete, structured product data looks like, why it's now table stakes across every channel, and how leading retailers are fixing it at scale.

Understand how AI search and agentic commerce are raising the bar for product data quality
Learn what complete, AI-ready product data looks like: structured attributes, accuracy, and provenance
See how better product data drives results across AI discovery, site search, and conversion
See real results from retailers who've enriched their catalogs at enterprise scale
Identify quick wins to audit and improve your own product data quality

Ray Iyer, CTO & Co-Founder, Anglera

Amay Aggarwal, CEO & Co-Founder, Anglera

2. Your Holiday Strategy Was Already Stale the Day You Finished It

Most brands lock their holiday pricing, promos, and assortment plans 3-6 months in advance, then spend November and December flying on gut feel while the market moves underneath them. A competitor drops price on your best-seller on Black Friday morning. A rival goes out of stock and takes the demand you should have captured. Your MAP violations spike the exact week your channel partners are watching closest. By the time you find out, the moment's gone and so is the margin.

In this demo, see how ShopVision tracks pricing, promotions, assortment, and stock-outs across 300,000+ brands, retailers, and marketplaces, with 15 million products monitored daily, and turns what changed overnight into what to do about it before your next pricing meeting. We'll walk through a live holiday scenario: a competitor price move, a stock-out opportunity, and a MAP violation, and show what it looks like to catch all three in minutes instead of finding out in a post-mortem in January.

Paulina Petrina, Senior Director, Sales, ShopVision

3. Personalization Before the First Click

DTC brands are paying more than ever to win a click (CAC is up ~40% since 2023) only to drop that visitor into a generic storefront. Built by the team behind Spotify's recommendation engine, Malachyte uses Vector AI technology to predict user behavior and personalize search and recommendations for every shopper, including anonymous, first-time visitors. In this demo, see how retailers convert cold (even anonymous) traffic into double-digit revenue-per-visitor gains.

How Malachyte's behavior intelligence leverages Vector AI to personalize search and recommendations on any digital surface without cookies or logins
What "cold-start personalization" looks like in under 200ms, and why that matters given how much DTC traffic today is first time visitors and anonymous
How merchandisers stay in control with tools to define rules, preview changes, and test/analyze results.
Real RPV/conversion benchmarks from live customers that attendees can use to size their own opportunity.

Sidd Motwani, CEO & Co-Founder, Malachyte

Di Lyngholm, VP, Product and Growth, Malachyte

4. Why Winning on Amazon Requires a New Decision-Making Model

Buy Box losses, excessive fees, inefficient media spend, pricing pressure, supply chain disruptions, and out-of-stocks—profitable growth on Amazon has never been harder. More data, more tools, and more headcount haven't solved the problem because traditional decision-making wasn't designed for today's pace and complexity. In this session, you'll learn why the traditional model is breaking down and, through a live demonstration of Cogentiq e-commerce, Fractal's AI-native commerce engine, see how continuous AI reasoning across 70+ business signals compresses the cycle from detection to decision to execution—from days to minutes.

Recognize why traditional decision-making models can no longer keep pace with the speed of change on Amazon and the specific ways they break down.
Identify the capabilities that matter most when evaluating AI solutions for digital commerce, from continuous cross-signal reasoning to closed-loop execution.
See how Cogentiq e-commerce extends team capacity by continuously monitoring, reasoning, and acting across the business — compressing detection-to-execution from days to minutes.

Prabal Chaudhri, Head of AI Products, Fractal