A comprehensive S&OP model is built around five core components: Product Portfolio Review, Demand Review, Supply Review, financial impact assessment and Executive Review. Each component must operate independently while remaining seamlessly connected to the others. This article explores the design principles that make an Anaplan S&OP architecture scalable, transparent and truly decision-oriented.

Extending the planning horizon to improve visibility

One of the main challenges when implementing an S&OP process is the lack of reliable long-term demand signals. If product portfolios never changed, S&OP would simply extend existing operational planning processes. In reality, however, product life cycles make long-term forecasting far more complex. The real value of S&OP lies in its ability to anticipate future business complexity by modelling new product introductions, market expansion plans and product phase-outs before they occur. We recommend integrating these dimensions directly into the planning model while enabling users to simulate the impact of potential changes. In practice, this means allowing planners to adjust product life cycles by delaying launch dates, modelling end-of-life scenarios or revising promotional assumptions. For longer planning horizons, we create placeholder products that carry future demand while inheriting the physical characteristics required by downstream planning processes, such as production rates, weight, pricing or other operational attributes. These assumptions are based either on available business information or on comparable existing products. This provides the reliable foundation required to build meaningful S&OP scenarios.

Making Demand Review the foundation of an effective Anaplan S&OP process

Demand Review is the most critical stage of the S&OP cycle. It starts with an initial demand signal generated from existing customer contracts, marketing plans translated into monthly volumes, statistical forecasts based on historical data, or a combination of all three. This demand signal can either be imported from an existing forecasting solution or generated directly within the Anaplan S&OP application. However, Demand Review goes far beyond validating a forecast. Discover our Demand Planning approach. The process must also capture the risks and opportunities that could significantly influence demand, including promotional campaigns, economic downturns, competitive moves, geopolitical events or the loss of major contracts. Ignoring these business events inevitably drives planners back to spreadsheets for ad hoc analysis, weakening the overall planning process.

Why We Favour a Risk and Opportunity-Based Approach

• Manually adjusting forecast values simply to reach a target is rarely sustainable. A structured risk and opportunity approach delivers three major benefits. First, it enables planners to simulate price changes, demand increases or decreases, delayed product launches, product phase-outs and other business events that cannot be captured through manual forecast adjustments alone.
• Second, a single business event can be reused across multiple scenarios and planning cycles without recreating its impact each time.
• Finally, every event remains fully documented, monitored and linked to a defined action plan, significantly improving transparency during executive reviews.

Once business events have been identified, they can be combined into alternative S&OP scenarios such as optimistic, constrained or downside scenarios. Each scenario can then be compared directly against the budget, both in terms of volumes and revenue. To streamline successive planning cycles, we also implement automated alerts highlighting significant changes compared with previous cycles. This allows Demand Managers to focus immediately on meaningful changes without overlooking weak signals.

Modelling capacity with the right level of granularity

The level at which production resources are modelled has a direct impact on the quality of Supply Review decisions. Two common pitfalls should be avoided.

• An excessively detailed model often generates artificial imbalances between interchangeable production lines where aggregated analysis would be sufficient.
• Conversely, an overly aggregated model can hide constraints affecting critical resources.

The same principle applies to raw materials, workforce planning, warehouse capacity and transportation resources. We work closely with our clients to identify potential analytical risks before model development begins, ensuring that the planning model reflects the realities of their operations from the very first planning cycle. Even when capacity is ultimately reviewed at an aggregated level, we recommend modelling it at its operational level of detail. Production calendars, shift patterns and Overall Equipment Effectiveness (OEE) are all reconstructed within the model. While a single capacity figure may be sufficient for high-level comparisons, evaluating the impact of improved OEE, planned maintenance or capacity investments requires detailed capacity calculations behind the scenes. Whenever long-term capacity data is unavailable, we automatically extend planning horizons through configurable assumptions. This is where Anaplan’s flexibility becomes particularly valuable, allowing organisations to enrich their planning horizon without creating additional data collection burdens.

Transforming Demand into an actionable Supply Plan

Building the Supply Plan relies on a set of business rules, including target inventory coverage, safety stock levels, customer prioritisation, inter-site balancing, resource allocation and pull- or push-based replenishment strategies. In many organisations, the key planning decisions do not concern these allocation parameters themselves. In the food industry, for example, sourcing decisions are often one of the most critical aspects of the Supply Review process. This is why we favour a tailored modelling approach rather than a one-size-fits-all application. For organisations with relatively straightforward supply planning requirements, a lightweight calculation engine is sufficient. More complex organisations benefit from a dedicated simulation cockpit that supports detailed planning and informed decision-making. One of Anaplan’s strengths is its ability to preserve the origin of demand throughout the entire planning process. Demand can remain segmented by sales channel, demand type, customer priority or any other business attribute. This level of traceability makes available planning levers explicit during the Supply Review and allows each decision to be directly linked to a concrete action plan.

Making scenarios the core of the S&OP process

Within an Anaplan S&OP process, scenarios are the real driver of decision-making. They allow organisations to evaluate multiple realistic business trajectories while immediately measuring their operational and financial consequences.
We design mechanisms that enable planners to duplicate a planning scope in a controlled manner, adjust selected assumptions and instantly assess the impact on capacity, customer service, costs and margins. As a result, Executive S&OP meetings become significantly more effective. Decisions are no longer based on intuition, but on structured comparisons supported by quantified scenarios.

Observed business benefits

Organisations that implement a structured S&OP process in Anaplan typically experience measurable improvements from the very first planning cycles:

• Reduced preparation time for S&OP meetings
• Improved forecast accuracy and customer service levels
• More reliable decision-making through scenario comparison
• Centralised planning data and the elimination of parallel spreadsheets
• Greater long-term visibility over capacity, inventory and margins

These benefits become sustainable once the planning architecture has stabilised and regular planning routines are embedded within the organisation. For companies exposed to supply shortages, capacity constraints or rising industrial costs, these improvements can quickly translate into millions of euros in additional margin.

Conclusion

A well-designed S&OP architecture in Anaplan delivers far more than a planning model.
It structures every stage of the planning cycle, enables meaningful scenario comparisons and transforms business trade-offs into clear decision signals shared across Supply Chain, Finance and Executive Management. Discover our S&OP expertise.