data numbers

food

Project context
Sales forecasting and time series analysis
 
Business need
To forecast sales, estimating trend, seasonality and the effects of exogenous shocks.
 
Smartstat’s action and results
Smartstat developed a system of daily revenue forecasting, on different time horizons, together with a time series decomposition process, to extract trend and seasonality and to estimate the impact on daily revenues of both internal (e.g. local advertising campaigns, national advertising campaigns, sales promotions, restaurant renewals...) and external (e.g. weather, soccer matches, Christmas, Ramadan, vacations...) shocks.
 
Other features and by-products
This project is part of a bigger activity, aiming at exploiting the informational power of McDonald’s Italy data with impact on: marketing campaigns, business planning, cost reduction, personnel scheduling, restaurant segmentation, sales forecasting…
 

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