Data Science

Revolutionizing the food distribution industry

Applying customer anticipation and advanced analytics technologies.

What was about

Our main goal was to help our client to understand their customer purchasing patterns in order to gain insights and improve their offering and services.

Using a SaaS model, Azure Services for data storage, Machine Learning and Power Business Intelligence, we were able to provide our client with on demand prediction experiments, solution data repositories that could be accessed by LOP apps to obtain results, historical data visualization through user interface and predictions on PowerBI dashboards.

All of this data was used to understand customer purchasing patterns for any product and predictions of what their customers would buy during a target date, as well as quantities.


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