Optimize Demand Forecasting with Machine Learning: 5-Wk Implementation

Increase the accuracy of your demand forecasting in Microsoft Dynamics 365 Finance and Operations with Microsoft Azure services and enable higher efficiency and transparency in supply chain operations and planning.

Demand forecasting plays an important role in supply chain decision-making. It is an essential component of any supply chain strategy because it can help businesses make informed decisions about production and inventory levels, pricing, and other aspects of their operations.

Applying machine learning (ML) in demand forecasting can increase the accuracy of your demand predictions and help reduce traditional challenges in planning such as long delivery lead times, high transport costs, high inventory, and waste levels.

By utilizing Microsoft technologies, this solution enables a more accurate and reliable demand forecast for higher efficiency and transparency in supply chain operations and planning.

Ready-made solution to apply ML in demand forecasting

The ML-based demand forecasting solution developed by Columbus uses Microsoft Azure services and can be integrated with and managed within Microsoft Dynamics 365 Finance and Operations.

Benefits

Who is the solution for?

Features and functions

Our approach

We can offer support in implementing the solution, as well as initially developing the proof of concept. The estimated price is for implementation services.

Implementation (5 weeks):

The final pricing and timeframe will be based on custom terms, and the customer is responsible for procuring required Microsoft Azure services.