Jayashree
Dutta
CEO at atronous.ai
"Transforming Retail with Clean & Structured Item Data "
"Transforming Retail with Clean & Structured Item Data "
Fri May 15 - 4:20 PM EDT/New York (See in local time)
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05/15/2026 4:20 PM
05/15/2026 04:30 PM
America/New_York
#WTGC2026
"Transforming Retail with Clean & Structured Item Data "
#WTGC2026
"Transforming Retail with Clean & Structured Item Data "
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https://www.womentech.net/ringcentral
"Transforming Retail with Clean & Structured Item Data "
"Transforming Retail with Clean & Structured Item Data "
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Session: Transforming Retail with Clean & Structured Item Data
The scale of the item data problem in retail is real: poor or incomplete product data is estimated to cost retailers nearly $3.9 trillion annually in lost sales and abandoned carts (data from VMG Partners). It's something we hear about constantly across the broader retail ecosystem, retailers managing thousands of SKUs across dozens of channels, losing conversions not because of product quality, but because their upstream catalog data is incomplete, inconsistent, or simply not structured for how modern commerce actually works. As AI agent-led discovery increasingly dominates commerce, a trend that is only accelerating, the bar for clean, structured product data has never been higher.Key Takeaways
- Understanding the breadth and scope of broken data and how AI can address this challenge for the retail industry
Bio
Jayashree is the CEO of atronous.ai, bringing over 15 years of experience at the intersection of machine learning, data, and retail technology. She recently led a high-scale real-time data platform team at Walmart Labs, processing billions of events daily, and previously built the Risk Engineering and Data Science organizations at Robinhood from the ground up