Industry - Digitalisation - Data science & AI
Self-learning forecasting algorithm
Development of a self-learning algorithm for sales forecasting for an international construction equipment company
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A robust assessment of the quality of your forecasts in approximately four weeks.
In an uncertain world with dynamic markets, the accuracy of your demand forecasts is crucial. Inaccurate forecasts can result in lost revenue, negatively impact delivery performance, customer satisfaction, and operational efficiency.
With our Offering "Benchmark Forecast Accuracy", we analyse your forecasts in approximately four weeks using our AI-based ZMC forecasting toolbox to pinpoint areas for optimisation. This enables you to transform your forecasting from a source of uncertainty into a genuine competitive advantage.
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Take part in our demand forecasting survey anonymously in just a few minutes. The results will be discussed in the upcoming webinar. You will also receive an exclusive white paper on the topic. Click the button to go directly to the survey. Set the language to English.
Industry - Digitalisation - Data science & AI
Development of a self-learning algorithm for sales forecasting for an international construction equipment company
Learn moreIndustry - SCM & Operations - Planning
OTIF and inventory optimisation through smart forecasting & planning for an international construction equipment company
Learn moreFMCG - SCM & Operations - Planning
Realising the global sales & operations planning for a global cocoa and chocolate manufacturer
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CEO
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Lead Engineer Data Science & AI
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Lead Engineer Data Science & AI
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