#product-data

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E-Commerce
fromForbes
4 days ago

Financing The AI Shopping Era: What E-Commerce Founders Need To Know

AI is transforming e-commerce by changing how consumers shop and how brands must adapt to remain visible.
#agentic-ai
fromWWD
1 month ago
E-Commerce

As AI Agents Take Over Search, Fashion Brands Need to Rethink Storytelling and IP

fromWWD
1 month ago
E-Commerce

As AI Agents Take Over Search, Fashion Brands Need to Rethink Storytelling and IP

fromModern Retail
1 month ago

Legacy skin-care brands are restructuring PDPs to stay visible in GEO AI search

Speaking at Oasis Assembly, Dawn Hilarczyk, COO of Borghese, and Hillary Hutcheson, CMO of RoC Skincare, outlined how their teams are adapting to generative engine optimization, or GEO, as AI-driven search increasingly shapes product discovery. Borghese, a more than 70-year-old Italian skin-care brand known for its Fango mud treatments, and RoC, a U.S.-based mass-market clinical brand with deep ties to dermatologist recommendations, are approaching the shift from different angles.
Marketing tech
#agentic-commerce
E-Commerce
fromForbes
2 months ago

Novi Helps Brands And Retailers Build Trust With Consumers

Novi verifies product claims and optimizes product data for AI to increase brand discoverability and consumer trust across major retailers.
fromresund Startups
3 months ago

Matilda FoodTech acquires Erudus, joining three of Europe's most trusted foodservice product data platforms together under one roof

The acquisition of Erudus doesn't just expand our footprint - it completes a foundational layer of our strategy. With Erudus, Delfi/Dabas and PS in Foodservice under one roof, we now have an unparalleled ability to distribute, enrich, and activate trusted product data across borders - accelerating innovation in procurement, compliance, and sustainability throughout the food value chain,
Miscellaneous
E-Commerce
fromPractical Ecommerce
6 months ago

Ask an Expert: How to Start with GEO?

Optimize ecommerce product visibility for generative AI by preparing accurate, structured, consistent product data, clear human-focused titles/descriptions, and standardized attributes.
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