Business Case:
"Consumption based forecasting”

Leading food and non-food retailer with 800 stores in 9 countries Active assortment of 200.000 items Central warehouse with hubs
How to use big data and consumption data to improve warehouse forecasting
Define forecast parameters for each category and item groups Select article parameter settings and historical data sources from internal data sources and big data (from big data warehouse) Develop forecast model based on simulated algorithm with several parameter settings Update ERP parameters with outcome of simulation

12% reduction of warehouse stock cost

1,5% reduction of out of stock situations

Client Testimonials

“So many data and still running short in information. Our forecasting techniques needed a major make-over to make it work for us. The consumption-based forecasting techniques from the integrated planning project ”
Category Manager - E-commerce
“The McDee consultants have delivered a nice piece of work. We now have a clear overview of our data model and relation between them. And the CRUD matrices are helpful to link our processes.”
Data Architect - FMCG manufacturer
“When we hire external support we need excellent consultants. The McDee project team combines a strategic view with practical skills."
CEO - automotive manufacturer

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