What it does
Visual product search is bridging the gap between online and offline shopping, making it far easier for customers to find the products they’re looking for. Rather than trying to type in endless search queries to find the right product across various sites and marketplaces, visual product search can get the shopper there in just a few steps. Here’s how it works in concept: 1)Customers find products they really like in a store. 2)They take a picture of a product on their phones (or using a branded app for a particular online store/marketplace). 3)That photo is used to search and match up visually similar or identical products.
The Advantage of Visual Product Search:
Visual search has a number of benefits beyond helping a customer find a specific product quickly. Visual search can also be used contextually to help consumers find similar products, as well as products related to the starting image used in their searches. That’s how Way fair implemented its visual search initially; customers could take a photo of home furnishing they liked, and Way fair would recommend other products that were similar in style in an attempt to match the preferences of the customers.
Built With
- flask
- keras
- tensorflow
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