When supply chain woes hit, data analytics becomes your beacon for demand forecasting. Here’s how to steer through the chaos:
- Analyze historical data trends to predict future demand accurately.
- Implement real-time tracking to adjust quickly to supply chain fluctuations.
- Use predictive modeling to anticipate and mitigate potential disruptions.
How do you leverage data analytics for better demand forecasting in the face of supply chain challenges?
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