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Retail & eCommerce
Enhance Retail & eCommerce with best-in-class product data and AI solutions.
use cases
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
How
Chat
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
How
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
How
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.
How
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.
How
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
How
how it works
Powering innovation with best-in-class solutions
WHY SCALE
Deliver Value Faster with Deep ML Expertise
Hybrid Tech & HitL Engine
Ecommerce data is messy – edge cases, long-tail products, and constantly shifting customer tastes make it hard to solve using AI alone. Scale’s human in the loop, proprietary software tools, and a depth of experience in labeling to enable us to quickly build attribute models, do schema mappings, and tackle subjectivity.
Category Coverage
Our experience with product categories ranging from fashion to grocery (20+ L1 categories) helps us build increasingly powerful ML to tackle the long-tail of categories and attributes.
Proven Scale and Size
We process 10M products weekly across 5+ languages and 10+ markets for the largest global ecommerce marketplaces. We know what it means to scale.
Resources
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.
