Time series forecasting
Time series forecasting is a statistical technique used to predict future demand based on historical data patterns. D365 uses these models to automate inventory replenishment and production planning.
How does D365 use time series forecasting to optimize inventory planning?
Time series forecasting is the intelligent engine that allows your planning team to move from "reactive" replenishment to "proactive" supply chain management, as it automatically analyzes your past sales history to identify the trends, seasonality, and patterns that will likely repeat in the future, providing a solid, data-backed basis for your production runs.
If your current forecasting relies on intuition or "flat" spreadsheet projections, you are missing out on the ability to detect subtle demand trends that could save you thousands in stockout losses and emergency freight costs. We help you tune the D365 forecasting engine to fit your product mix, ensuring your replenishment plans are as accurate and as data-driven as possible.
Maintaining accurate predictive planning demands dedicated, proactive technology management. Engaging an experienced technical team under a professional Dynamics 365 Supply Chain Management contract guarantees that your forecasting models remain fully performant.
Project off track?
Who are we?
We're DeliveredSoft, an Microsoft Dynamics 365 Partner based in Europe. With experts in Poland, Denmark and Spain, we build custom solutions using Microsoft Dynamics 365 for clients across a range of industries.