Case Study: Nestlé improves demand forecast accuracy with Pyplan

Nestle - Customer Case Study

Nestlé Brazil, a major food production company, faced the challenge of accurately forecasting demand for its vast portfolio of over 1,350 different SKUs across its distribution centers. To address this, they partnered with the vendor Pyplan to enhance their planning process.

Pyplan developed a unique demand planning module built on Nestlé's existing models and best practices. This integrated solution provided a comprehensive forecast with BIAS and trend analysis, handling approximately 6,000 data series weekly. The implementation by Pyplan successfully improved demand forecast accuracy for all of Nestlé Brazil's Distribution Centers.

Nestle