Scenario-Based Decision-Making to Keep S&OP on Track Amid Uncertainty

You have finalized production and order quantities based on next month’s demand forecast. Then orders from a key customer exceed expectations, or raw material deliveries are delayed. Another S&OP meeting is needed, but sales wants more volume while production says the schedule is difficult to change. Even if additional orders are possible, procurement needs to check delivery dates and costs.

If teams only begin discussing responses after a forecast misses the mark, each department will recalculate its numbers under pressure using its own assumptions. What you need is more than a plan built around a single view of the future. You need an S&OP process in which teams agree in advance on how to adjust plans when demand and supply conditions change.

To do this, you can examine four scenarios: normal operations, higher demand, lower demand, and supply disruption. Each scenario needs more than a different order quantity. It should define the conditions that trigger a plan review and the actions teams can realistically take.

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Baseline Forecast: A Shared Starting Point for Review

In S&OP meetings, sales, production, procurement, and finance often bring different numbers—even for the same product. Sales factors in targets and customer insights, production considers equipment and workforce plans, and procurement accounts for lead times.

An automotive parts manufacturer advised by Impactive AI faced this problem every month. With each department presenting a different outlook, much of the meeting was spent debating which numbers were right. Teams often ended up compromising on figures close to the previous year’s levels.

A shared demand forecast gives everyone the same starting point. But if that forecast is treated as a fixed plan for every situation, the same debate will begin again when conditions change. Teams need to use the baseline forecast to agree on which changes should trigger a review of the plan.

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Scenario-Based Decision-Making

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Base: Normal Operations Within the Expected Range

The Base scenario assumes that demand and supply conditions remain as expected. Inventory is managed according to scheduled purchasing, production, and inbound deliveries.

The question is not simply whether forecast sales can be met. Teams should check whether inventory can cover expected demand during each item’s lead time and how much stock remains available for sale after accounting for confirmed orders.

Base also provides a reference for comparing other scenarios. It helps teams assess how much holding costs would increase if they secured additional stock for higher demand, or how much they could save by delaying orders.

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Upside: Expanding Supply to Meet a Surge in Demand

Consider the Upside scenario when customer orders or channel sales grow faster than expected. This does not mean immediately increasing orders for every item. First, identify which products and channels are driving the increase and whether existing inventory can be reallocated to meet it.

Additional production and new orders are only useful if they arrive when needed. If procurement takes four weeks but the demand surge is expected to last two, new orders alone will struggle to prevent immediate stockouts. Teams should also consider reallocating available stock from distribution centers or other channels.

In S&OP, teams need to agree not only on the scale of the demand increase but also on the latest point at which action can still be effective. After that point, reallocating inventory or adjusting customer delivery dates may be more practical than placing additional orders.

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Downside: Limiting Inventory as Demand Falls

Teams can shift to the Downside scenario when orders fall below expectations or a key customer scales back its plans. This may involve postponing orders that can still be changed and reviewing production schedules and planned inbound deliveries.

It is important to distinguish between inventory already on hand and quantities still due to arrive. Looking only at warehouse stock may suggest that inventory levels are manageable, but confirmed inbound orders can substantially increase the surplus. For items with short shelf lives or frequent product changes, the time available to act is even more limited.

Teams also need to determine whether demand has merely shifted to a later date or is declining more persistently. Cutting production sharply after one weak sales week could create shortages if orders recover. A safer approach is to examine the cause and likely duration of the decline before changing the plan.

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Shock: When Supply Is Disrupted Even Though Demand Remains Unchanged

The Shock scenario differs from Upside and Downside. Even when customer orders arrive as expected, disruptions to raw materials, production, or transportation can reduce the quantities available to supply.

Treating this simply as a demand forecasting error can lead to the wrong response. Alongside reviewing forecast sales, teams need to reassess what quantities they can actually supply and when.

Procurement can check alternative suppliers and sourcing timelines, while production can review substitute materials or changes to the production sequence. The SCM team needs to decide which orders and channels should receive priority when allocating limited stock. Agreeing in advance on acceptable additional costs and the approvals needed to change delivery dates can also shorten response times.

Increasing inventory is not a viable response to every supply shock. The appropriate action depends on whether additional stock can be secured and whether it will arrive in time.

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S&OP Response Criteria for Each Scenario

Simply listing four scenarios in meeting materials will not change the plan. Each scenario needs defined signals for considering a switch, feasible actions, and a person responsible for the decision.

For example, rather than switching to Upside solely because demand has exceeded expectations, teams can also check whether inventory is projected to run out before the next delivery. If a supplier’s delivery delay creates that same risk—even without a decline in actual sales—a Shock response is needed.

These criteria should vary by item. Applying the same alert thresholds to a critical component with a long lead time and a product that can be replenished the next day can lead to late responses for one and unnecessary plan changes for the other.

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From Debating Numbers to Deciding on a Plan

The automotive parts manufacturer mentioned earlier redesigned its S&OP meetings to review a shared AI demand forecast alongside the four scenarios. Instead of explaining differences between departmental figures, teams discussed which responses were feasible when demand or supply conditions changed. In that project, meetings that had taken more than two hours were shortened to 45 minutes.

The more important change was what teams agreed on. Discussions no longer ended with agreement on a single forecast. Teams could discuss in advance when to change purchasing and production plans.

Forecast accuracy must continue to improve. At the same time, teams need an operating process that detects deviations in actual demand or inbound deliveries quickly and keeps viable response options available. That way, a missed forecast does not force them to rebuild the plan from scratch every time.

Deepflow Forecast lets teams identify SKUs with sharp increases or decreases in demand, check inventory status, and review inventory coverage against item-specific lead times. They can also compare the AI baseline forecast with response scenarios aimed at preventing stockouts or reducing excess inventory to help determine appropriate quantities.

If departments are recalculating purchasing and production plans at every meeting, start by identifying which items need attention first. With Deepflow Forecast, teams can review demand changes and inventory risks, compare response quantities, and discuss the next plan.