Increasing sales and revenues from retail network

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One of the world's largest fast food chains

Problem
Problem
  • Measuring number of visitors
  • Audience profiling
  • Forecast of turnover
  • Competitor analysis
  • Recomendations for optimal locations
  • Look-a-like search for similar locations
Solution
Solution

One of the world's largest fast-food chains contacted oneFactor to maximize sales and revenues from the entire network and optimize costs through the use of innovative services based on Artificial Intelligence and Machine Learning technologies. Within the framework of the project it was required to determine the optimal locations for the fast food chain. GeoMind allowed to profile the audience, measure the actual number of visitors to the restaurants, forecast the turnover for specific locations. In addition, the retailer used the look-a-like functionality of modelling similar locations and analyzing the potential of competitors.

With the help of GeoMind the optimal address plan for restaurants was created, taking into account the intersection of client flows, that allowed to maximize sales and revenues from the entire chain by 65% and more than 35% while using the innovative technology instead of just an expert opinion.

Effect
Effect

GeoMind allowed to increase sales and revenues by 35% using the innovative technology instead of just an expert opinion.

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