Manufacturers often need to decide what to make, what to buy, and how much capacity to reserve before customer orders are confirmed. Get those decisions wrong and the result can be stockouts, excess inventory, rushed purchasing or idle production time.
In May 2026, MRPeasy introduced AI-assisted sales forecasting that uses historical customer order data to estimate future product demand. The forecasts can then be linked to MRPeasy’s Master Production Schedule, helping connect expected demand with production, capacity, and procurement planning.
That connection is more important than the word “AI”. A forecast is only useful if it helps a manufacturer make a better decision earlier. MRPeasy’s new capability provides a practical starting point, but it does not remove the need for business judgement or reliable operational data.
What does MRPeasy AI sales forecasting do?
MRPeasy’s Sales Forecasting feature creates product-level forecasts over a period of 3, 6, 12 or 18 months. It uses historical customer order quantities and delivery dates to estimate future demand. Quotations and cancelled orders are excluded.
The forecast can be reviewed and adjusted manually. This is important because historical orders do not tell the whole story. A manufacturer may know about a new customer, a large upcoming project, a product change, or a supply issue that the system cannot see.
The feature requires at least three months of relevant historical sales data for an AI forecast. Where there is not enough history, the business can enter its own forecast values manually.
Why connecting the forecast to production planning matters
A sales forecast sitting in a separate spreadsheet may be useful, but it still leaves someone to translate the numbers into production and purchasing decisions.
In MRPeasy, a forecast can be linked to the Master Production Schedule (MPS). This allows manufacturers to compare expected demand with:
- Current inventory.
- Confirmed customer orders.
- Planned production.
- Manufacturing orders already scheduled.
- Projected ending inventory.
The MPS can then help assess whether the business has enough production capacity and materials to meet expected demand. This gives the forecast a practical role in the planning process rather than leaving it as a standalone estimate.
The system still supports the decision rather than making it automatically. Production and purchasing plans require review, particularly where demand is uncertain or capacity is constrained.
Where this feature is most useful
MRPeasy AI sales forecasting is likely to be most useful for manufacturers with:
- Repeatable products and a reasonable history of customer orders.
- Seasonal or changing demand patterns.
- Long-lead-time materials.
- Limited production capacity.
- A recurring risk of stockouts or excess inventory.
- A current planning process based heavily on spreadsheets or manual estimates.
Make-to-stock manufacturers may see the most direct benefit because expected demand can inform finished-goods production. Make-to-order and assemble-to-order manufacturers can still use forecasts to plan common materials, subassemblies, supplier requirements and production capacity.
The feature is less likely to provide reliable results for highly customised products, one-off projects, or products with very limited sales history. In those cases, the forecast should be treated as a prompt for discussion rather than a substitute for customer and market knowledge.
What API v2 and MCP add
MRPeasy also released a beta version of its REST API v2. Its API v2 GET endpoints are available as tools through the Model Context Protocol, or MCP.
In simple terms, MCP gives compatible AI applications a standard way to ask questions of connected business systems. For an MRPeasy user, this could eventually make it easier to ask for operational summaries, investigate stock or order issues, or produce exception reports from manufacturing data.
The current capability should not be overstated. MRPeasy’s MCP connection provides read-only access to the available data. It does not allow an AI tool to independently change orders, production plans, stock records, or purchasing data. API v2 is also still in beta and is being expanded over time.
For most manufacturers, this is a secondary capability. The immediate value is likely to come from using sales forecasting and the MPS effectively. AI access to operational data becomes more useful once the underlying data and planning processes are reliable.
A sensible way to get started
Manufacturers considering the feature should avoid trying to forecast everything at once.
- Choose a specific problem: Start with stockouts, excess inventory, long-lead-time materials, or constrained production capacity.
- Select a focused product group: Begin with repeatable, higher-volume products where historical data is meaningful.
- Review the data: Check customer orders, delivery dates, product records, bills of materials, and inventory information.
- Compare the forecast with business knowledge: Look for upcoming events or changes that historical data cannot reflect.
- Link the forecast to the MPS: Use it to inform production and purchasing discussions.
- Review the results over time: Track whether planning decisions improve, rather than focusing only on forecast accuracy.
MRPeasy’s new AI sales forecasting capability is a practical step forward for manufacturers that want to move beyond spreadsheet-based demand planning. Its value is that it creates a repeatable starting point and connects expected demand with production, capacity, and procurement planning.
The businesses most likely to benefit are those with reliable order history and a clear planning process around the forecast. AI cannot compensate for poor product data, incomplete orders, or unclear ownership of production decisions.
Considering Material Requirements Planning software for your business?
Choosing and rolling out the right Material Requirements Planning (MRP) software is a big decision for any manufacturing business. As digital consultants , we help you thoroughly assess your critical requirements, configure your workflows, and train your team to ensure an seamless adoption of processes that unlock the efficiency and productivity of an MRP.
BlueRock is a registered MRPeasy partner and can help manufacturers assess whether MRPeasy, including its forecasting and production planning capabilities, is suitable for their operating model. If you are considering MRPeasy or want to understand how to make better use of an existing implementation, submit the form below and our digital consultants will be in touch.
Product capabilities described in this article are based on MRPeasy’s published documentation and may change as the platform develops.
