Retail & eCommerce
Enhance Retail & eCommerce with best-in-class product data and AI solutions.
Fuel engagement, enhance discoverability, and drive conversion with rich product data.
Onboard Sellers & New Products
ROI: Onboard sellers and/or new products in <24hrs.
E-Commerce AI - reduce seller burden by validating and filling in missing product attributes via Scale’s Attribute AI
ROI: Unlock and power AI-based chat experiences
E-Commerce AI – large language models are vastly inferior at recommending products to users without structured attribute metadata; optimize your chat experience with key attributes
Enhance Search & Discovery
ROI: Increase revenue by up to 20%
E-Commerce AI - enhance search filters, SEO, and more by tagging key attributes for all your products
Improve Product Recommendations
ROI: Boost average order value (AOV) 25%
E-Commerce AI – enable product matching by tagging key attributes, and identify similar products with Matching AI.
Improve Ads Recall and Conversion
ROI: Boost ads conversion by over 10%
E-Commerce AI – match ads to relevant products, improving click-through-rates and ad conversion by tagging key attributes.
Item Authority and Standardization
ROI: Instantly generate unlimited ad creatives
Forge – instantly generate new, creative imagery for any type of product to optimize ad testing and conversion and PDP imagery
Deliver Value Faster with Deep ML Expertise
Hybrid Tech & HitL Engine
Proven Scale and Size
TransformX 2022 Retail & eCommerce
Inside Amazon’s AI-Powered eCommerce Growth with Jeff Wilke, Retired CEO, Amazon Worldwide Consumer
Scaling ML at Etsy to Support 100M+ Buyers & Sellers with Mike Fisher, CTO of Etsy
Data-Centric eCommerce at ASOS with Nick Beighton, Former CEO of ASOS
Building a Data-Driven Marketplace for 600K Retailers with Daniele Perito, Co-Founder and Chief Data Officer at Faire
Panel: Digitizing Commerce with AI with Grab and Verishop
How Nick Beighton Transformed ASOS by Investing in Product Catalog Data
Nick Beighton, former CEO of ASOS, discusses how he transformed the company from 200 million to 4 billion in revenue by investing in product catalog data.