Supercharge your product catalog with AI

“We worked with 4-5 vendors to get our catalog ready and list it on multiple marketplaces. This required a lot of management and co-ordination between teams, leading to delayed product listing. We partnered with Streamoid to streamline this process. Using catalogix, they process the entire groups catalog and have reduced the Turnaround time to less than 2 days.”

"We move fast and we wanted a partner who could keep pace with us. The automations in the cataloging process built by Streamoid are very robust. We are very happy with Catalogix."

"Live AI, ML, CV models implemented have accuracies in the range of 90-99% based on the category, gender, type of images. We would like to certify the above details have been implemented by Streamoid and please reach out to us for any references or further checks required."

"After rigorous testing across both western and ethnic wear categories we found Streamoid’s Catalogix to be a much faster and better way to do Content QC. What made it more compelling was that it did not need any tech integration or any changes at our end."

"At Newmeasia, we're all about delivering the best experiences to shoppers on our website. However, we faced a significant challenge with incomplete data from vendors, slowing down our operations.‍Catalogix changed the game entirely. With its automated solutions for cataloging, image attribution, and content generation, we've streamlined our processes, saving valuable time and effort. Now, we're focused on delivering exceptional service and staying ahead in the market, all thanks to Catalogix's efficiency and accuracy."

"As a leading marketplace, we faced the challenge of poor customer experience and high return rates due to incomplete and incorrect data uploaded by sellers. Despite using multiple agencies to manage our large volume of listings, data quality issues persisted. Streamoid's AI-powered cataloging solutions significantly improving our data quality to over 90%+ while delivering an exceptional turnaround time”