Food
Singaporean tech startup Tuzo is using AI to help retailers hyper personalize stores.
The firm is focused on harnessing artificial intelligence and machine learning to help retailers tailor shopping experiences to their shoppers’ preferences, using real-time web browsing and shopping data. The hyper-personalized experiences are designed not only to help increase revenues for retailers, but also to generate data and shopper insights to help plan demand.
“We have seen conversions go up by up to 50 percent, and basket size up by up to 40 percent in a large department store while the customer satisfaction with our BraFit solution was as high as 90 percent,” said Tuzo CEO Mohit Agrawal.
Tuzo has solutions for apparel, lingerie, beauty, bags, footwear and jewelry – and is targeting department stores, offline fashion retailers and online stores. Tuzo also helps retailers digitize their inventory by tagging the products automatically for catalog creation using computer visuals. It also offers a visual search product, which allows shoppers to search for an item just by taking or uploading a picture, and a style advisor that engages with shoppers at a personal level by advising a complete look based on shopper preferences, retailer inventory and fashion trends.
“Tuzo leverages algorithms developed using AI and machine learning to bring together the shopper preference, fit and global/regional fashion trends,” said company co-founder Sudhir Jha. “Tuzo solutions drive the omnichannel efforts of retailers. Tuzo will continue to invest in the development of cutting-edge technologies for the retail industry.”
In its next phase of growth, Tuzo is planning to help hyper personalize stores in other Southeast Asian countries.
