ViSenze

ViSenze ViSenze is the world’s smartest product discovery platform. Trusted by leading retailers- H&M, Rakuten, ZALORA & more

ViSenze is the world's smartest product discovery platform. Retailers like ASOS, H&M, Rakuten, Zalora, Meesho, DFS, and EyeBuyDirect trust ViSenze to power their product discovery. ViSenze processes over a billion queries a month from retailers, supporting them in-store and on ecommerce sites. Use cases range from enhanced search, product tagging, smart recommendations and merchandising analytics.

ViSenze’s automated AI platform empowers retail merchants to increase revenue by delivering exceptional experiences that make it easier for shoppers to discover products. Gartner Hype Cycle for Retail Technologies 2021

CB Insights Retail Technology 100

Top AI Companies 2022

Leading Product Recommendation Vendor 2022

Online shopping is changing rapidly around the world, but nowhere as fast as India. Read our CEO, Oliver Tan’s interview...
30/09/2022

Online shopping is changing rapidly around the world, but nowhere as fast as India. Read our CEO, Oliver Tan’s interview with IndianRetailer.com to learn about his insights about the future of shopping and visual product discovery.


ViSenze was launched with the mission to make finding products easier with smart AI.

Consumer behavior is always changing. How can ecommerce 🛒 retailers and brands create experiences that satisfy purchase ...
29/09/2022

Consumer behavior is always changing.
How can ecommerce 🛒 retailers and brands create experiences that satisfy purchase intent and increase their revenues 💵?
Learn how to optimize ecommerce sites with A/B testing.

People comparison shop all the time to find the best deal. They don’t only look at prices but also product features, quality, brand name, and more. In the ecommerce world, you don’t want to lose customers to other brands.

Tune in to hear industry experts, Stefano Lenzi, from Armani, and, Ian Jindal, from Internet Retailing, share insights o...
28/09/2022

Tune in to hear industry experts, Stefano Lenzi, from Armani, and, Ian Jindal, from Internet Retailing, share insights on how brands and retailers can make their product recommendations smarter and ensure customers find what they are looking for. Register now!

Join our Editor-in-Chief Ian Jindal, our Research Director Martin Shaw, and SP and GM of EMEA at Tealium, Lindsay McEwan as they explore the results of the latest RetailX Top1000 2022 Report.

Autumn is here.🍁 As shoppers update their style for the fall season 🍂, how can   brands maximize their sales revenues du...
27/09/2022

Autumn is here.🍁 As shoppers update their style for the fall season 🍂, how can brands maximize their sales revenues during this time of the year? “Shop The Look” personalized recommendations give customers a direct path to shop for a brand’s complete look and lifestyle. Make styled model shots from trending fall fashion UGC shoppable! Generate higher order averages and keep customers coming back for more. Learn more: https://bit.ly/3SB7g49

23/09/2022

Consumers want brands to push the boundaries of their shopping experiences with contactless self-service buying, digital showrooms, and virtual try-on with AR. Want to find out what the rest of the future of looks like? Uncover the latest luxury eCommerce trends and insights. Download our latest ebook: https://bit.ly/3fcUVVr

Many high-end fashion brands have struggled 😔 to leap into the digital era by failing to bring exclusive experiences onl...
22/09/2022

Many high-end fashion brands have struggled 😔 to leap into the digital era by failing to bring exclusive experiences online. As digital natives, millennials, and gen-z spending 💰 power continue to grow, how can luxury 👜 brands adapt to changing consumption patterns? Read more to find out.

Many high-end brands have struggled to leap into the digital era. This is mainly due to the lack of understanding as to how—how to provide the exclusive experience associated with their brand.

Personalization in the new normal for Fashion and Luxury Retailers- Hear from Stefano Lenzi at Armani and Ian Jindal at ...
13/09/2022

Personalization in the new normal for Fashion and Luxury Retailers- Hear from Stefano Lenzi at Armani and Ian Jindal at Internet Retailing as they share insights on increasing conversions with engaging product recommendations. Register for the webinar today! https://bit.ly/visenzewebinar

Join our Editor-in-Chief Ian Jindal, our Research Director Martin Shaw, and SP and GM of EMEA at Tealium, Lindsay McEwan as they explore the results of the latest RetailX Top1000 2022 Report.

Good   commerce entails helping shoppers find their ideal personal style. However, most fashion sites get recommendation...
08/09/2022

Good commerce entails helping shoppers find their ideal personal style. However, most fashion sites get recommendations wrong because they don’t personalize suggestions to each shopper. They often rely on demographic-informed suggestions from generic recommender systems, but these rarely provide unique recommendations for individual users. AI visual recommendations can offer more accurate style recommendations. Learn more.

Fashion retailers are tasked with helping shoppers find their ideal products—whether that’s shirts, trousers, sunglasses, or any other fashion must-have.

31/08/2022

As the move towards a Cookieless Future and loss of third-party data is fast approaching, online retailers’ biggest concern is balancing the need for personalized recommendations while addressing data privacy. ViSenze’s new Session-Based Recommendation offers a solution and enables retailers to provide a personalized experience to shoppers without the need to collect personal data such as gender, age, and location. Learn more: https://lnkd.in/gJtRAqCc

30/08/2022

Last Wednesday, we celebrated ViSenze's 10th anniversary. We kick-started the morning with a CSR event sponsoring and distributing food bags to the elderly and low-income families.
This reflects our humble beginnings as originated from the NExT research center, a collaboration between Tsinghua University and the National University of Singapore. Our efforts to lead the way are not just in AI/ML and Retail but, more importantly, reinforce the values we cherish - Kindness and Care. To all ViSenzers, past and present, we're grateful for your contributions and for making ViSenze what it is today!

As we continue to elevate the product discovery experience, we are pleased to announce a new type of personalized ecomme...
25/08/2022

As we continue to elevate the product discovery experience, we are pleased to announce a new type of personalized ecommerce product recommendations as part of our Discovery Suite. Session-Based Recommendations enables retailers to provide a personalized experience to shoppers without the need to collect personal data.

“Personalization is becoming more important for shoppers. So is privacy and ensuring trust in user data collection. Balancing personalization and privacy by first removing the need for collecting user data gives retailers a new ability to offer unique and relevant recommendations to shoppers based on their sessions,” - Oliver Tan, ViSenze CEO and Co-Founder. Read the entire press release: https://lnkd.in/gJtRAqCc

Session-based Recommendations allow Personalization with More Privacy for Shoppers Singapore | August 25th, 2022 ViSenze, the leading product discovery platform, announced today a new personalized ecommerce product recommendations as part of their Discovery Suite. ViSenze’s Session-Based Recommend...

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