VISENZE: ENABLING DIGITAL SEARCH ACCURACY

Started in 2012, ViSenze says it processes over a billion queries a month from retailers, supporting them in-store and on e-commerce sites. Use cases range from enhanced visual search, product tagging, smart product recommendations, and retail analytics.

- N Bobo Meitei

Singapore-based ViSenze offers an Al- powered visual commerce platform that enables shoppers to search for products by using image instead of keywords. It counts Urban Outfitters, Meesho, Myntra, Zalora, and Rakuten, among its stable of customers.

Started in 2012, ViSenze says it processes over a billion queries a month from retailers, supporting them in-store and on e-commerce sites. Use cases range from enhanced visual search, product tagging, smart product recommendations, and retail analytics.

Most shoppers know exactly what they are looking for but have a hard time finding it using keywords, and often the recommendations are an overwhelming selection of unrelated products.

To solve this, Oliver Tan, its Co-founder and CEO, said it was launched with the mission to make finding products easier with smart AI. Working on deep learning and computer vision, the company decided to create a breakthrough technology solution for retailers that is powered by an AI. This Al starts with understanding what humans see so that their search can be more intuitive without the struggle of keyword guessing. Tf the best science and the technology that we develop aren't solving real-world problems or pushing the boundaries, then what is the real value of these AI or technologies?” Tan argued. It must advance our daily lives and bring benefits to everyday people. So, it was like a solution looking for a real problem to solve.”