Intelligent shopping experience is something every brand and technology provider is aiming at these days. One such technology provider is Streamoid which, with its global footprints in fashion retail, has emerged as a pioneering force. Having delved into the technology behind Streamoid, it’s evident that its single vision has successfully materialised into a platform that seamlessly merges fashion and technology for both customers and fashion companies.
Streamoid was founded in 2013 and has been aiming at simplifying omnichannel retailing for fashion companies. The company has evolved from being an afterthought in the fashion industry to a driving force behind some of the world’s most renowned companies.
Standout feature: AI-driven Catalogix
Out of a number of products in its portfolio, what caught Team FTJ‘s attention is Catalogix – an AI tool to simplify product cataloging on e-commerce platforms. Fashion consumers often encounter challenges when searching for specific apparel items on a brand’s online portal or on e-marketplaces. This is due to inconsistent and unstructured product tagging, leading to disrupted searches and hindering product discoverability for both retailers and shoppers. Automatic tagging technology, employing AI-based image recognition, can address these issues, ensuring precise identification of desired products in a shopper’s search.
This is exactly what Catalogix addresses. A standout feature is its ability to automatically generate appropriate product attribute tags using new-age algorithms driven by AI. This not only results in an impressive 80 per cent reduction in training and management expenditures but also significantly reduces time-to-market.
How is it done?
Catalogix imports all the data from the retailer’s siloed sources like ERP, PML or Excel sheets using its pre-built connectors. The tool’s AI then maps and transforms incoming data into cohesive normalised data sets, ensuring consistent and accurate data throughout the brand’s ecosystem. Finally, the retailer is able to schedule recurring data pulls from its data sources or simply push data through the Catalogix API. This entire process brings down the time consumption from 6 hours to merely 6 minutes!
Catalogix’s use of AI to enhance product metadata, content and multimedia further sets it apart. The platform analyses product information to identify essential product qualities for each targeted channel, automatically adding graphic attributes to fill gaps.
FTJ’s take
Catalogix seamlessly incorporates user-friendly and straightforward AI technology, providing a simplified solution for the significant challenge of cataloging in the e-commerce industry. The notable reduction in human involvement, coupled with effective AI integration, is what Team FTJ believes is exemplary as this allows brands to streamline their operations with minimal personnel, as one individual can efficiently oversee the entire cataloging process.
