At Global Supply Chain Unit, we need to guarantee that our demand planning is accurate to ensure efficient operations. For that we use a combination of Time Series Forecasting and Machine Learning methods to predict the demand on a very granular level.
- How much product to produce to be able to supply the demand?
- Produce the right amount of product per SKU and region to satisfy the demand and avoid unnecessary storage
- Investigate past demand and understand product sales patterns over time
- Predict the development of product sales at SKU level per region considering typical sales patterns as well as promotional information using time series and machine learning methods.
- Improved customer centricity: Product is available at any time
- Risk mitigation: Avoid risk of products not being available when needed or to many products on the market without demand
- Improved profitability: Process efficiency
Transportation & Logistics
Operations
Better Customer Experience, More Efficient
Practioner
Prediction
Machine Learning, Supervised
Time series