# S&OP Maturity Assessment: Rate Your Sales and Operations Planning Process > Source: https://netray.co/tools/sop-maturity-assessment > Publisher: Netray (netray.co), AI and integration engineering for ERP and manufacturing systems. > Section: Free Tools ## Short answer Assess your sales and operations planning process across cadence, data quality, scenario capability, and accountability, and get a staged roadmap to the next maturity level. ## Category manufacturing ## Tool **Kind:** assessment **Questions:** #### How regularly does your S&OP cycle actually run to completion? **Options:** ##### There is no defined S&OP cycle **Score:** 0 ##### Meetings happen when someone calls them **Score:** 1 ##### Monthly cycle that usually completes, sometimes slips **Score:** 2 ##### Disciplined monthly cycle with fixed dates and full attendance **Score:** 3 #### Does the business operate from one agreed plan or multiple competing numbers? **Help:** The clearest symptom of multiple plans is sales, operations, and finance each defending a different volume figure in the same meeting. **Options:** ##### Sales, operations, and finance each maintain separate numbers **Score:** 0 ##### One plan nominally, but departments keep private versions **Score:** 1 ##### One plan that most functions work from, with known exceptions **Score:** 2 ##### A single agreed plan that drives execution and financial commitments **Score:** 3 #### How structured is your demand review? **Options:** ##### No demand review - sales gives a number when asked **Score:** 0 ##### Sales submits a forecast with no statistical baseline or challenge **Score:** 1 ##### Statistical baseline plus sales input, reviewed each cycle **Score:** 2 ##### Baseline, sales intelligence, market signals, and documented assumptions with owners **Score:** 3 #### How is supply feasibility validated against the demand plan? **Help:** A plan that has not been tested against finite capacity and material availability is a wish list, not a plan. **Options:** ##### We do not test the demand plan against capacity at all **Score:** 0 ##### Rough gut check by the operations lead **Score:** 1 ##### Rough-cut capacity planning on constraint resources **Score:** 2 ##### Finite capacity and material feasibility modeled with documented gap resolutions **Score:** 3 #### How well is the operating plan reconciled to the financial plan? **Options:** ##### No connection between the operating plan and the budget **Score:** 0 ##### Compared annually at budget time only **Score:** 1 ##### Reconciled each cycle with variances explained **Score:** 2 ##### Fully integrated - the S&OP plan is the financial forecast of record **Score:** 3 #### How far out does your planning horizon extend? **Options:** ##### Effectively the current month **Score:** 0 ##### One quarter, mostly firm orders **Score:** 1 ##### 6-12 months rolling **Score:** 2 ##### 18-24 months rolling, long enough to act on capacity and long-lead material **Score:** 3 #### Where does the data behind the plan come from? **Options:** ##### Spreadsheets assembled by hand each cycle **Score:** 0 ##### ERP extracts heavily reworked in spreadsheets **Score:** 1 ##### Mostly system-generated with limited manual adjustment **Score:** 2 ##### Directly from ERP and planning systems with auditable adjustments **Score:** 3 #### Do you measure forecast accuracy and act on the result? **Help:** Measuring accuracy without assigning ownership of the error produces reports nobody uses. **Options:** ##### Forecast accuracy is not measured **Score:** 0 ##### Measured occasionally, not reviewed in the cycle **Score:** 1 ##### Measured and reviewed each cycle at an aggregate level **Score:** 2 ##### Measured by family and item with bias tracked and owners accountable **Score:** 3 #### Can you model scenarios before committing to a plan? **Options:** ##### No scenario capability - we plan one version **Score:** 0 ##### Manual what-if analysis in spreadsheets, rarely done **Score:** 1 ##### Two or three scenarios modeled for major decisions **Score:** 2 ##### Routine scenario modeling with financial and capacity impact quantified **Score:** 3 #### How are new product introductions and end-of-life transitions handled in the plan? **Options:** ##### NPI and EOL are not represented in S&OP **Score:** 0 ##### Mentioned verbally but not modeled in volumes **Score:** 1 ##### Included in the plan with launch and ramp assumptions **Score:** 2 ##### Formally phased in and out with tracked assumptions and inventory run-down plans **Score:** 3 #### What happens to decisions made in the S&OP meeting? **Options:** ##### Decisions are rarely made; the meeting is a status update **Score:** 0 ##### Decisions are made but often not executed **Score:** 1 ##### Decisions are documented with owners and mostly executed **Score:** 2 ##### Decisions are documented, owned, tracked to closure, and reviewed next cycle **Score:** 3 **Bands:** #### Stage 1 - Reactive **Min:** 0 **Max:** 24 **Verdict:** There is no functioning S&OP process, so planning happens in silos and the business responds to whatever is loudest. Sales, operations, and finance each carry a different number, and the gap between them is resolved by expediting rather than by decision. Capacity and long-lead material commitments are made too late to be cheap. **Recommendations:** - Establish a fixed monthly cycle with published dates: demand review, supply review, reconciliation, executive review. - Agree one volume plan by product family, even if the first version is crude, and stop maintaining parallel numbers. - Extend the planning horizon to at least six months so long-lead material decisions have somewhere to land. - Assign a single owner for the demand plan and a single owner for the supply plan, both named and accountable. - Start measuring forecast accuracy at the family level immediately, even before the process is mature. #### Stage 2 - Emerging **Min:** 25 **Max:** 49 **Verdict:** A recognizable S&OP cycle exists but it is fragile: meetings slip, spreadsheets do the heavy lifting, and the plan does not reliably survive contact with capacity reality. Decisions get made but follow-through is inconsistent, so the same issues resurface cycle after cycle. **Recommendations:** - Introduce a statistical baseline forecast so sales input becomes an adjustment with rationale rather than the whole number. - Add rough-cut capacity planning against constraint resources so the demand plan is tested before approval. - Move core data extraction from manual spreadsheets to scheduled ERP reporting to cut cycle preparation time. - Document every S&OP decision with an owner and a due date, then open the next meeting with the closure review. - Extend the horizon to a rolling twelve months and reconcile the volume plan to the financial forecast each cycle. #### Stage 3 - Integrated **Min:** 50 **Max:** 74 **Verdict:** S&OP runs reliably, the business works from one plan, and supply feasibility is genuinely tested before commitment. Remaining gaps typically sit in scenario capability, item-level forecast accountability, and the speed at which the process can respond to change between cycles. **Recommendations:** - Build routine scenario modeling so major decisions are evaluated against two or three quantified alternatives. - Push forecast accuracy measurement down to item and family level with bias tracked and owners named. - Formalize NPI and end-of-life phasing inside the plan, including inventory run-down commitments. - Reduce cycle preparation time so the executive review works with data that is days old, not weeks old. - Connect the approved plan directly to master scheduling so the agreed numbers actually drive execution. #### Stage 4 - Advanced **Min:** 75 **Max:** 100 **Verdict:** Your S&OP process is a genuine decision-making forum with a single plan, tested feasibility, financial integration, and tracked accountability. The next frontier is speed and predictive capability: shortening the cycle, sensing demand change between reviews, and automating the analysis that currently consumes planner time. **Recommendations:** - Shorten the cycle toward weekly replanning on volatile families while keeping the monthly executive rhythm. - Add demand sensing on short-horizon signals so the plan reacts to real change without introducing MRP churn. - Automate scenario generation and variance explanation so planners spend their time on judgment, not assembly. - Extend integrated planning to key suppliers with shared forecasts and agreed capacity flex fences. - Instrument decision quality: track which S&OP decisions delivered the predicted outcome and feed that back into assumptions. ## Content **Intro:** This free S&OP maturity assessment helps operations executives, demand planners, and supply chain leaders in discrete manufacturing understand where their sales and operations planning process actually sits. Eleven questions cover meeting cadence, single-plan discipline, demand review rigor, supply feasibility testing, financial reconciliation, planning horizon, data sourcing, forecast accuracy accountability, scenario capability, new product handling, and decision follow-through. The result places you in one of four maturity stages with specific next actions, so you get a sequenced roadmap rather than a label. **Sections:** #### How maturity is scored **Body:** Each question offers four options scored zero to three, giving a 33-point maximum that converts to a percentage and maps to one of four stages. The questions deliberately weight execution over documentation. Having a monthly meeting on the calendar scores less than having decisions that get tracked to closure, because the most common failure mode in S&OP is not absence of process but absence of consequence. Similarly, a demand plan that has never been tested against finite capacity scores low regardless of how sophisticated the forecasting behind it is. Answer for how the process actually behaves in a difficult month, not how it is described in the procedure document, or the result will flatter you and the recommendations will miss. #### What the four stages represent **Body:** The stage definitions align with widely used S&OP maturity models and reflect what we observe across Infor SyteLine, CloudSuite Industrial, Infor LN, and Baan customers in aerospace, defense, and electronics manufacturing. Most manufacturers who have run S&OP for a few years land in stage two or early stage three, and the plateau is almost always caused by the same thing: the cycle depends on manual data assembly, so it cannot run faster or deeper than the analysts preparing it. Stage boundaries are not about sophistication of technique. They are about whether the plan is trusted, tested, and acted upon consistently under pressure. **Bullets:** - Stage 1 Reactive: no functioning cycle, competing numbers, and capacity decisions made too late to be economical. - Stage 2 Emerging: a recognizable cycle exists but runs on spreadsheets and lacks feasibility testing and follow-through. - Stage 3 Integrated: one plan, tested supply feasibility, and financial reconciliation, with scenario capability still thin. - Stage 4 Advanced: a genuine decision forum where the remaining opportunity is speed, sensing, and automation. #### Interpreting your stage and choosing what to fix **Body:** Resist the temptation to jump two stages. The disciplines are sequential for a practical reason: scenario modeling on top of a plan nobody trusts produces sophisticated fiction, and item-level forecast accountability is meaningless if the business still runs multiple competing numbers. If you land in stage one or two, the two changes with the largest payback are almost always a fixed cycle calendar that does not slip and rough-cut capacity testing before plan approval. Those two changes convert S&OP from a reporting meeting into a decision meeting. If you land in stage three, the constraint is usually cycle time: executives reviewing data that is three weeks old cannot make timely capacity commitments. #### How Netray helps you move up a stage **Body:** The most common blocker to S&OP maturity is not process design but data assembly - planners spending the first two weeks of every cycle rebuilding spreadsheets. Netray eliminates that by building the demand, supply, and financial views directly against Infor SyteLine, CloudSuite Industrial, Infor LN, and Baan, so each cycle starts from live data with auditable adjustments rather than from a manual rebuild. We add on-prem AI for statistical baseline forecasting, variance explanation, and scenario generation, all running inside your firewall to satisfy ITAR and CMMC obligations. Engagements typically start by automating one cycle's data preparation, which usually returns a week of planner capacity immediately. **Cta:** Get a personalized S&OP maturity report with stage-specific priorities and an implementation sequence from Netray's planning specialists. **Faq:** #### What is the difference between S&OP and integrated business planning? **Answer:** S&OP traditionally balances demand and supply over a rolling horizon, while integrated business planning extends the same cadence to include financial plans, product portfolio decisions, and strategic initiatives in one reconciled process. In practice the distinction matters less than the disciplines: one agreed plan, tested feasibility, financial reconciliation, and tracked decisions. Most manufacturers reach stage three of this assessment before the IBP label becomes useful rather than aspirational. #### How long does it take to move up one maturity stage? **Answer:** Six to twelve months is realistic for a single stage in a mid-sized discrete manufacturer, assuming executive sponsorship. Moving from reactive to emerging is largely a discipline and calendar problem and can happen in a quarter. Moving from emerging to integrated usually requires data automation and rough-cut capacity capability, which takes longer. Attempts to jump two stages at once typically stall because the underlying data quality has not caught up with the process ambition. #### Do we need a dedicated planning system, or can S&OP run on our ERP? **Answer:** Most manufacturers can reach stage three using their ERP plus disciplined reporting, particularly with Infor SyteLine or Infor LN where planning data already exists in the transaction system. Dedicated planning tools earn their keep at stage three to four, where routine multi-scenario modeling and fast replanning become the constraint. Buying a planning system before the cycle discipline exists usually produces an expensive spreadsheet replacement rather than better decisions. ## Search terms S&OP maturity assessment, sales and operations planning maturity model, S&OP process evaluation, integrated business planning maturity, S&OP best practices manufacturing, demand planning maturity assessment, S&OP scorecard --- Talk to an engineer: https://netray.co/contact?intent=erp_ai | Machine catalog: https://netray.co/agent/catalog.json