Danone offers a wide range of fresh healthy food products impacted by trade promotions and media events. More than 30% of their volume is sold on promotional offers (discounts, leaflets, displays, hostesses, etc.), accounting for nearly 70% of forecast inaccuracy. Danone also spends a lot on media advertising, which significantly impacts sales and forecasts.
Danone’s forecasting, planning and execution for these promotional and media events was somewhat ad hoc. Four functional departments: sales, demand forecasting, account planning and finance had trouble properly coordinating and communicating their goals, plans and expected outcomes, producing uneven results and unpredictable emergencies.
Danone wanted to create a more reliable demand forecasting platform that would consistently predict the actual impact or “lift” to baseline demand from trade promotions and media events and then facilitate the required complex inter-departmental coordination. Predicting this impact posed a daunting problem, since it involved a large number of variables with complex interactions, buried in huge amounts of data with a high degree of noise. Even with substantial expertise and inter-departmental coordination, it was extremely difficult to understand the correlations among all the variables.
In 2011, Danone launched their Disc’Over project. Looking for a partner who could provide technology to identify the shared characteristics of promotional and media events and predict their lift on baseline sales, Danone chose ToolsGroup. The ToolsGroup system uses machine learning technology to analyze demand variability and improve demand planning. The new forecasting capability proved to be a key functionality for not only improving the forecasting process, but also for creating an effective planning process between marketing, sales, account management, supply chain and finance.
For Sales and Marketing, the new system provides reliable detailed modeling of trade promotion uplift. It allows campaign operational planning in which the promotion and media event is allocated to the account and provides support to customer plan definition for key accounts.
For Supply Chain, it improves efficiency and inventory balance, allowing them to satisfy promotions and media uplifts with timely production and balanced inventory deployment to achieve the target service levels for detailed (channel/store level) supply chain execution. Employs demand sensing to incorporate POS feeds from Danone’s largest customers, hypermarkets.
Danone improved performance across a range of business metrics from front-end forecasting to back-end production planning, including:
Beyond the numbers, the implementation established not only a robust execution foundation, but also a platform for trade marketing’s and the account teams’ ROI and “What If” planning, enabling continued investment efficiency and responsive to changes in business objectives.