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“Dribia played a key role in building our data products and strategy. We have been extremely impressed with their agility, innovation and professionalism.”

Features

Measure targeted audience traffic based on very large GPS mobility datasets in order to recommend retail spaces.

Impact

Development of a scalable tool (31 cities in the US) contributing to several successful investment rounds and client use-cases.

ACHIEVEMENTS

30 GB/day GPS mobility data processed on a fully cloud environment.

BUSINESS PROBLEM

Nowadays, the process of finding the ideal spot where to place a shop is still largely driven by human experitse, painful and long.

The variety and heterogeneity of available data and the fragmentation of the market causes losses related to opportunity costs and the fact that most spaces remain unoccupied for longer times they should.

DRIBIA'S SOLUTION

We are helping our US client ARetailSpace to build an intelligent retail recommender leveraging data from a variety of open and private datasets. We are in charge of designing, implementing and testing all the algorithmic and data technical exploitation of the product.

This includes the analysis of datasets, creation of data products, recommendation engines and user experience analysis.