The solution analyzed the public of six stores in the chain to identify the most important variables in success cases, studying the flow of people in different time ranges, average family income and consumption potential. From this analysis, the company's data scientists developed a score model to evaluate several other regions, indicating the best places to open the points of sale.
(TeleComPaper)
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