Whenever a shopper goes to a store, majority of the products that the person sees aren’t actually the products that he or she wants. Shoppers need to sift through a ton of irrelevant products before they find what they really need. That’s just what shopping has always been. But it’s not what shopping should be.
What if the first product that shopper sees is exactly the product he or she needed? Even better, what if all the merchandise in the whole store was displayed and ordered according to how much it mattered to the shopper?
That’s exactly what shopping should be — fast, simple, and personalized. Just a few years ago, that may have seemed impossible, but shopping is now rapidly evolving, both in the store and online. Harnessing the power of artificial intelligence and automation, Tuzo can help retailers finally able to tailor shopping experiences to shoppers’ interests, based on real-time web browsing habits and shopping data.
We help fast-track digitization of product catalog using machine learning. The platform uses the self-learning power of Artificial Intelligence to enable retailers provide a personalized experience for their online and walk-in shoppers.
The platform not only helps increase revenues for retailers but also generates data that helps in demand planning and gain invaluable shopper insights.
Below are the modules of our platform that can either work together or can be implemented independent of each other