Traditional demand planning models often fall short since they’re either too generic, take months to customize, or fail to account for the unique variables that drive your business. WorkAxle takes a different approach thanks to a forecasting model that adapts to your data, tests multiple methods, and improves accuracy over time through continuous learning.
You can take any data, upload it into the system, and our forecasting agent will test different models to find the best fit for your organization. Over time, the model sharpens itself to become more accurate.
In this clip, Mat Diab explores:
- The limitations of traditional “out-of-the-box” demand planning models
- How WorkAxle’s forecasting agent tailors outputs to your unique data
- Industry-specific use cases: retail, transportation, and more
- The power of multivariate inputs like footfall, transactions, weather, or events
- How continuous learning reinforces accuracy by training models over time
With tailored forecasting, you get a model that evolves with your business, reducing uncertainty and giving you confidence in every demand plan.
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