Tagging products and converting it into multiple marketplace taxonomies manually, demands time, management and resources.
In the last 2 years it has cataloged 150,000+ products and listed them on over 10+ marketplaces.
Increase number of marketplaces and enrich metatags in product catalogs to get more relevant search
ABFRL’s cataloging efficiency goes up 75% with Catalogix
About the Client
Aditya Birla Fashion and Retail Limited (ABFRL) is India’s first billion-dollar fashion powerhouse. The fashion conglomerate operates 3,031 brand stores and is present in 25,000 multi-brand outlets and over 6,000 department stores in India. Its portfolio of brands includes Louis Philippe, Van Heusen, Allen Solly, Pantaloon, Jaypore, The collective, F21, American Eagle Outfitter and more.
Listing on numerous marketplaces has its own challenges as each have different taxonomies and templates. The effort it takes to catalog products increases significantly leading to large workforces, longer TAT’s and potential revenue loss
Tagging products for brand.com and converting it into multiple marketplace taxonomies on complicated excel sheets manually, demands time, management and resources.
- Increase number of marketplaces they are present in and connect with a larger shopper base - Enrich metatags in product catalogs to get more relevant search and navigation to increase conversion by 40% + - Increase their total addressable market (TAM) & add directly to their bottom line
The company engaged Streamoid's managed service to improve the efficiency of the cataloging process and reduce error rates. Previously ABFRL manually cataloged millions of products for eight marketplaces. This meant repeating the same tedious process 8x times per product.
About the Technology
AI Studio and Classifiers 150+ data points added per product using fine-grained classifiers trained in AI studio, our fashion optimised AutoML platform.
Advanced Taxonomy and Auto conversion to Marketplaces With our taxonomy as the source of truth, other taxonomies are a subset and it is a simple matter of mapping.
Self Learning Feedback from curation is used to automatically re-train the models in AI studio, further increasing their accuracy
How it works
(and more on the way)
Catalogix Performance ABFRL has been using Streamoid’s Catalogix since 2019. In the last 2 years it has cataloged 150,000+ products and listed them on over 10+ marketplaces. Catalogix offers Automated cataloging from product images to high quality product attribution and marketplace conversions.
Conclusion Streamoid’s Catalogix makes cataloging & deep-tagging quick & streamlined with shorter TAT’s and lesser manual inputs, making it a practical & efficient solution for fashion retailers and businesses.
“At ABFRL we are well aware that rich and accurate product information creates great customer experience online. In the fast changing world of fashion retail, where new products get launched every month, cataloging is a challenge and was a manual exercise until recently.
With Streamoid’s Catalogix, we now catalog our products in less than 6 hours instead of 2 days and our data is enriched immensely while maintaining an accuracy of 99%. We’re very pleased with the technology and the overall experience.”
- Praveen Shrikhande, Chief Digital and Information Officer, ABFRL
Authored by Team Streamoid
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