atronous.ai: Building Game Changing AI for Success
Jayashree Dutta, Founder
Harnessing the power of AI, atronous automates and streamlines the often-cumbersome listing process. Currently, suppliers struggle with the varied and complex requirements of each marketplace, resulting in only 30 to 40 percent of their listings being approved. atronous.ai changes the game, boosting approval rates to an impressive 70 to 80 percent.
Setting up on atronous is straightforward. The platform serves as a centralized portal, where brands complete a simple one-time onboarding process. From there, the merchandising team can easily connect their product information management systems, databases or even Excel spreadsheets. Once integrated, atronous.ai’s sophisticated model ingests and learns the product data, ensuring that every listing meets the unique demands of each marketplace, all the while minimizing the time and effort required. This setup is supported by an intuitive dashboard that lets users manage and monitor their product listings.
Products ready for publication can be reviewed in bulk for efficiency or edited individually as needed, ensuring every detail aligns with the brand’s needs. The platform keeps a vigilant eye on the evolving requirements of retailers, sending real-time alerts for any changes to keep listings compliant and up-to-date.
Four key steps drive atronous.ai’s automation process— generate, validate, translate and sync.
First, advanced techniques like image-based feature extraction and ML inferences help create product attributes that mirror a brand’s unique identity. The platform also generates all of the taxonomy mappings for various channels. Once attributes are generated, suppliers can approve listings—either in bulk or individually—readying them for publication. The platform’s bulk upload process then kicks in, automatically pushing products to multiple channels like Shopify, Amazon and other leading marketplaces, greatly simplifying omni channel submission. On the retailer side, supplier data is automatically validated to ensure it meets marketplace standards. Finally, when there are requirement changes to the retailer specifications, atronous regenerates and resubmits the impacted products.
“This automation speeds up time to market. Previously, listing a product online could take months, but with our platform, it now takes less than a day—sometimes even faster if users opt for bulk uploads without manual review,” says Jayashree Dutta, founder.
One example of atronous.ai’s impact is its work with Istanbul Rug, a Bay Area generational rug company expanding into e-commerce on Wayfair, Etsy and Amazon. The company previously relied on multiple agencies for image capture and data creation, a time-consuming and costly process. atronous.ai transformed this approach by processing images through AI algorithms for enhancements, color correction and background removal, then generating accurate product attributes optimized for various marketplaces. Istanbul Rug’s time to market shrank from months to less than a day, with substantial cost savings from eliminating the need for external agencies.
First, advanced techniques like image-based feature extraction and ML inferences help create product attributes that mirror a brand’s unique identity. The platform also generates all of the taxonomy mappings for various channels. Once attributes are generated, suppliers can approve listings—either in bulk or individually—readying them for publication. The platform’s bulk upload process then kicks in, automatically pushing products to multiple channels like Shopify, Amazon and other leading marketplaces, greatly simplifying omni channel submission. On the retailer side, supplier data is automatically validated to ensure it meets marketplace standards. Finally, when there are requirement changes to the retailer specifications, atronous regenerates and resubmits the impacted products.
“This automation speeds up time to market. Previously, listing a product online could take months, but with our platform, it now takes less than a day—sometimes even faster if users opt for bulk uploads without manual review,” says Jayashree Dutta, founder.
One example of atronous.ai’s impact is its work with Istanbul Rug, a Bay Area generational rug company expanding into e-commerce on Wayfair, Etsy and Amazon. The company previously relied on multiple agencies for image capture and data creation, a time-consuming and costly process. atronous.ai transformed this approach by processing images through AI algorithms for enhancements, color correction and background removal, then generating accurate product attributes optimized for various marketplaces. Istanbul Rug’s time to market shrank from months to less than a day, with substantial cost savings from eliminating the need for external agencies.
This success story reflects atronous.ai’s journey of growth. Initially, it focused on partnering with small and midsize businesses to test and validate its platform’s capabilities, ensuring it could efficiently automate and manage product data. These early collaborations were foundational in shaping its vision for larger-scale impact. Over the next 18 months, the company aims to scale its offering to become an essential enterprise platform for product data management.
As retail rapidly shifts towards digital labels—in-store products displaying QR codes instead of traditional labels for real-time, personalized information—the demand for dynamic, accurate data is growing. atronous.ai was built to meet this evolving need, offering a streamlined solution for product data management that bridges both e-commerce and brick-and-mortar retail on a large scale.
Dutta’s extensive experience in retail technology, e-commerce, and data management has been instrumental in driving the company’s success. Having held key roles at industry giants such as The RealReal and Walmart, she recognized a significant gap in the market—the need for improved inventory management and high-quality product data in online retail. Inconsistent data had long hindered brands and retailers from creating effective listings and personalized recommendations, signaling an opportunity for innovation. This realization led the founder to envision a solution powered by advanced AI.This Automation Speeds Up Time To Market. Previously, Listing A Product Online Could Take Months, But With Our Platform, It Now Takes Less Than A Day— Sometimes Even Faster If Users Opt For Bulk Uploads Without Manual Review
As retail rapidly shifts towards digital labels—in-store products displaying QR codes instead of traditional labels for real-time, personalized information—the demand for dynamic, accurate data is growing. atronous.ai was built to meet this evolving need, offering a streamlined solution for product data management that bridges both e-commerce and brick-and-mortar retail on a large scale.
