E-commerce tech leads often ask us: what makes us different from large AI Vision solutions?
While the answer to this question is multi-pronged, the simple answer is that BIG AI is trained for macros and misses the granular design details and attributes that Catecut’s custom-designed and custom-trained core AI Vision models capture for fashion and jewellery retailers. Our AI is packaged in a solution that solves the identification and collection of product design data, automation of PDP content population and tagging, and direct and immediate distribution to the e-commerce store backend via APIs and webhooks.
Plus, getting started with Catecut is EASY.
Your product images go into Catecut from your online store via API, then:
Attributes are predicted
Product content is generated
Search and generative engine tags are optimized, and
FULLY POPULATED PDPs come back out
More precise detail capture produces better PDP content and our expert attribute and page structuring adapts to the brand need, and that of generative engines.
The built-in SEO & GEO tagging means generative (answer) engine and search queries yield more precise results. Shoppers enjoy the shopping experience, and find what they want faster.
Brands enjoy content production efficiencies that provide data, and get products on store faster, at an economic price point.
Catecut:
is vertically integrated
has proprietary ontology AND
and multimodal AI
as well as powerful normalization and mapping layer.
