Forecast-to-Plan(F2P)
From the statistical forecast to the agreed plan: how demand, capacity and material planning come together, how the process is measured and where planning rounds lose their commitment.
Also known as: F2P · Forecast to Plan · Sales & Operations Planning · S&OP · Integrated Business Planning · Forecast-to-Fulfil
What is Forecast-to-Plan?
Forecast-to-plan (F2P) is the end-to-end process from the demand forecast to the released, agreed business plan. It covers preparing sales and market data, the statistical forecast, aligning with sales in the demand review, checking capacity and material in the supply review, the consensus round in the S&OP or IBP meeting and handing the plan over to materials planning, production and purchasing. The result is a plan that sales, supply chain and finance have committed to – followed by a regular check of how well it matched reality.
Starts with
A new planning cycle starts and sales, inventory and order data are brought together.
Ends with
The agreed plan is released, handed over to the executing processes and checked against actuals.
Typical phases
- 1
Data preparation & statistical forecast
Sales history, open orders, inventory and market information are cleansed and fed into a forecasting model that delivers a first demand estimate per product, region and period.
- Planning cycle opened
- Sales history cleansed
- Statistical forecast calculated
- Forecast outliers reviewed
- 2
Demand review
Sales, key account management and marketing enrich the statistical forecast with promotions, projects and customer knowledge. Gaps between model and judgement are either justified or corrected.
- Sales input requested
- Forecast manually adjusted
- Assumptions documented
- Demand plan approved
- 3
Supply review
Production, materials planning and purchasing check whether the demand plan can be met with available capacity, material and supplier commitments, and flag bottlenecks and alternatives.
- Rough-cut capacity checked
- Material availability checked
- Bottleneck reported
- Supply scenario created
- 4
Consensus & S&OP meeting
In the pre-S&OP and the executive meeting, demand, supply and the financial plan are reconciled. Open trade-offs are decided and the consensus plan is signed off.
- Pre-S&OP alignment
- Scenarios evaluated
- Decision in executive meeting
- Consensus plan signed off
- 5
Plan release & plan vs. actual
The consensus plan is handed over to materials planning, production and purchasing. In the next cycle, the gap between forecast, plan and actual sales and volumes is measured.
- Plan transferred to MRP
- Plan version frozen
- Plan vs. actual variance determined
- Causes assessed
Business objects and systems
These are the objects the process leaves in the source systems – with timestamps, owners and relationships to each other.
- Forecast
- Demand estimate per product, region and period, with model, version and time of creation.
- Forecast adjustment
- Manual change to the statistical forecast, with author, reason and magnitude.
- Plan version
- A state of the demand, supply or consensus plan with the status draft, agreed or frozen.
- Capacity check
- Matching demand against resources, shifts and supplier commitments, including reported bottlenecks.
- S&OP decision
- A resolution on a trade-off in the planning meeting, with an owner and its effect on the plan.
- Planning cycle
- The recurring frame with fixed dates for data cut-off, reviews and release.
Typical source systems
- Planning platforms (e.g. SAP IBP, Kinaxis Maestro, o9 Solutions)
- ERP with materials and demand planning (e.g. SAP S/4HANA, Microsoft Dynamics 365)
- CRM and sales data
- Spreadsheets and planning templates
KPIs that can be measured
- Forecast accuracy
- How close the forecast came to actual sales, per product, region and planning horizon.
- Forecast bias
- Whether the forecast is systematically too high or too low.
- Forecast value added
- Whether manual adjustments improve or worsen the statistical forecast.
- On-time planning cycle
- Share of cycles in which reviews and release are completed by the scheduled date.
- Plan stability
- How much the plan still changes within the frozen horizon.
Typical problems
Adjustments without added value
Manual corrections in the demand review are quick to make but rarely checked. Whether they improve the forecast or merely reflect expectations often remains unclear.
The cycle runs behind schedule
When the data cut-off or sales input slips, the time left for the supply review and the decision shrinks – the plan is released before bottlenecks are resolved.
Consensus on paper only
After the meeting, sales, production and finance carry on with their own numbers. The signed-off plan then steers only part of the decisions.
Plan vs. actual gaps without a cause
Everyone knows that plan and actuals diverge. Whether the cause lies in the forecast, an adjustment, a bottleneck or in execution is something a plain KPI comparison does not show.
How Noreja analyses Forecast-to-Plan
A planning figure on its own does not tell how it came about. Behind every forecast are a model run, several adjustments, a capacity check and a decision in the meeting – and later the sales orders, production orders and purchase orders that put the plan into practice. Noreja connects these objects in the event knowledge graph, so a plan vs. actual gap can be traced back to the adjustment or decision that caused it.
The planning calendar is modelled as the expected order: data cut-off, demand review, supply review, consensus, release. This shows in which cycles steps are missing, overlap or are reopened after release.
Questions Noreja answers
- Which manual forecast adjustments improve accuracy and which worsen it?
- In which planning cycles is a review skipped or completed late?
- Which products or regions show a persistent forecast bias?
- How often does the plan still change within the frozen horizon?
- Which reported bottlenecks remain unresolved at release?
- Where can plan vs. actual gaps be traced back to a specific planning decision?
Matching agents from the Minerva Agent Library
Frequently asked questions about Forecast-to-Plan
What is the forecast-to-plan process?
Forecast-to-plan (F2P) is the end-to-end process from the demand forecast to the released business plan. It covers data preparation, the statistical forecast, demand review, supply review, the consensus round in the S&OP meeting and the handover to the executing processes.
What is the difference between forecast-to-plan and plan-to-produce?
Forecast-to-plan ends with the agreed and released plan. Plan-to-produce starts there and describes how that plan is turned into production orders, material staging and manufacturing.
Which KPIs matter in forecast-to-plan?
Typical KPIs are forecast accuracy, forecast bias, the forecast value added of manual adjustments, on-time completion of the planning cycle and plan stability within the frozen horizon.
Can process mining be used in sales and operations planning?
Yes. Forecast runs, adjustments, plan versions and releases leave timestamps and authors in planning platforms and the ERP. Process mining shows how planning cycles actually run, where reviews are skipped and which adjustments carry through to execution.
Demo cases with a worked-through analysis
End-to-end processes we have played through with findings, causes and measures – some of them touching Forecast-to-Plan.
- Manufacturing in special machine buildingPlan-to-ProduceFrom production order to delivered machine: how process intelligence compares planned and actual dates per work center, finds waiting times between work centers and makes the capital tied up along the way visible.
- Touchless order processingOrder-to-CashHow causal process mining shows which customer orders can run touchless – and where a targeted review protects quality.
- Procurement in special machine buildingPurchase-to-PayFrom internal requirement to payment: how causal process mining makes approval bypasses, rework, capacity dependencies and supplier performance in purchase-to-pay visible and explainable.
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