Product recommendation

Product recommendation

The solution helped the client to collect and analyze shopping behaviours from all customers and store’s sales history, and to study what your customers are interested in and most likely want to buy, using machine learning. With advanced recommendation algorithms, the application automatically suggested the right products to the right customers

Project background

The client needed a product recommendation app that would increase traffic to the site.

Our customers become partners with store owners to provide training, branding and products as part of a large scale franchise model. The store owners will retain full ownership of the properties but will pay a deposit to join the program. Our client is the largest ecommerce company, will partner with rural convenience store owners to launch branded stores across the country.

Provide recommendations using web site crawling and machine learning

The solution helped the client to collect and analyze shopping behaviours from all customers and store’s sales history, and to study what your customers are interested in and most likely want to buy, using machine learning. With advanced recommendation algorithms, the application automatically suggested the right products to the right customers

Technology

Achievement

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Increased the traffic to the site by around 30%.