Our client, a multi-brand holding company, was expanding its formats towards “stand-alone” stores and this decision implied a relevant change in the formats under which it had traditionally developed its business (e.g. shopping malls, subway stations, bus stations, etc.). Being a different business model, the need to incorporate analysis that considered several variables that could contribute to make the decision in a robust way was necessary. For this, the Brain Food team was asked to generate a model to evaluate the different locations and support the decision making for the choice of a new point of sale, evaluating the economic potential of different locations (SitePlanning).
New solution includes the same features as the previous tool but at half the original cost
The Brain Food team generated a location attraction model based on Jensen’s Model, using available geo data and isochron analysis tools. A projection of future store sales was included, and a PowerBI report was implemented to make available the points consulted by the user.
An automated mathematical model was also developed that integrates multiple variables such as census data, commercial, macroeconomic, sectorial, etc. to evaluate the attractiveness of all available commercial locations.
Finally, a predictive sales model was generated to complement the first model, integrating all available information (e.g., similar local sales data, competition in the sector, per capita income, spending by category, etc.). Mapping and modeling applications were integrated into a visualization tool to dynamically evaluate the proposed locations.
delivers recommended locations for premises
integrates different data sources for location optimization
sales supplement information on locations
We develop algorithms that help companies look into the future and make the decisions that shape their present"