Microsoft Dynamics 365 Business Central integrated solution
Demand Forecasting & Inventory Planning
Artificial Intelligence for demand forecasting and optimal stock management in Business Central.
What is Demand Forecasting & Inventory Planning?
It is an easy-to-use tool that integrates with the Dynamics 365 Business Central management software and allows you to automatically generate reliable sales forecasts and suggest stock levels needed to fulfil customer orders.
Main functions
Demand Forecasting & Inventory Planning, fed with historical demand data, analyses the sales trend of each item and provides the most accurate forecast of future demand with the support of artificial intelligence and machine learning. It also automatically calculates the target stock level to ensure product availability for sale.
The solution allows automatic data processing and output generation in Business Central:
FORECASTING
for each product/location and with different levels of granularity: month, week or day.
STOCK OPTIMISATION
for each product/location, based on the SLA necessary to guarantee product availability at all times.
Process
NEEDS
BENEFITS
Is demand forecasting usually not accurate? ▼
For many systems, it is impossible to predict intermittent demand. They do not consider all the details of demand for each item, and consequently calculate inefficient supply plans.
Improved forecast accuracy ▼
Digital supply chain planning applies artificial intelligence (AI) to different data sources in real time to accurately forecast demand for each SKU/location.
Some products sell out and you lose some sales opportunities? ▼
One of the consequences of inaccurate forecasting is stock breakage. the inability to meet demand leads to dissatisfied customers, lost sales, loss of opportunities, and also penalises trust in the brand.
Increasing product availability ▼
A cloud-based supply chain software developed specifically for 'service level planning' uses a machine learning (ML) engine and probabilistic prediction algorithms to increase the level of service, even for low volume items.
Is your inventory not in line with your working capital targets? ▼
When high supply targets have to be secured with inaccurate sales forecasts, all too often the remedy applied results in an increase in the security stock. This leads to excessive capital tied up. Worse still, it increases the risk of obsolescence of products, which may deteriorate or expire.
Reducing stock levels ▼
Next-generation supply chain planning systems use ML to account for demand, supply uncertainty. This takes into account planned service levels and constraints such as lead times, minimum order quantities, and order intervals. The result is an increase in service levels with a reduction in overall inventory levels.
Managing data from different sources? ▼
Efficient collaboration is not possible when using different, non-integrated software. When information is presented in functional silos, collaboration requires considerable manual intervention that can generate errors and penalise productivity.
Improving integration between systems ▼
The advanced supply chain planning software uses a single unified model and integrates with ERP, MES, WMS and other systems, so that everyone in the organisation works on the same data.
Would you like to learn more about our ERP solutions based on Microsoft Dynamics 365 Business Central?