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… |