The planning gap manufacturers continue to face
The disconnect between the sales and operations execution function (S&OE) and the finance team is an inevitable result of how manufacturing organizations are structured.
S&OE is largely run by operations professionals and some sales managers, overseeing what happens today and tomorrow. Their focus is on customer orders, material availability, production schedules, inventory levels, and service performance. They're asking questions like:
- Do we have the inventory to meet demand?
- Which customer orders are at risk this week?
- Where are we seeing supply constraints?
- How should production schedules change in response?
The finance team sits apart from this process, focused on what happens this month, this quarter, and this year. Their priorities are revenue attainment, margin performance, working capital, and cash flow. They're asking a different set of questions:
- Are we on track to hit revenue targets?
- What is the impact on gross margin?
- How will inventory levels affect working capital?
- What adjustments need to be made to the financial forecast?
Both groups are trying to improve business performance. The challenge is that they operate on different planning horizons, use different metrics, and often rely on different data sources.
As a result, critical decisions frequently get evaluated through only one lens. In an era when supply chain disruptions, shifting customer demand, inflationary pressures, and geopolitical uncertainty can alter operational realities overnight, these decisions still rely on monthly cycles. By the time the financial impact of an operational issue appears in a report, the opportunity to influence the outcome may already be gone.
Building a common language between operations and finance
Bridging the gap between S&OE and Finance starts with recognizing a simple reality: operational decisions and financial outcomes are different views of the same business event.
The most effective manufacturers establish shared measures that translate operational performance into financial outcomes. For example, a delayed shipment becomes revenue at risk. A capacity constraint becomes margin exposure. Excess inventory becomes inventory value at risk. A supply disruption becomes a potential cash flow event. These metrics create a common language that allows operational and financial teams to evaluate decisions using the same set of facts.
From data integration to decision integration
If connecting operations and finance were simply a matter of sharing data, most manufacturers would have solved the problem years ago.
The challenge is that operational and financial data exists at very different levels of detail. Sales and operations data comprises millions of transaction-level records tied to specific products, orders, plants, customers, and time periods. Finance, meanwhile, is typically focused on aggregated measures such as revenue, margin, and working capital.
The key is creating a layer that can continuously translate operational activity into a financial context. Rather than attempting to move millions of transaction records directly into financial planning processes, organizations can identify the operational signals that matter most—such as inventory positions, customer orders, production constraints, and service risks—and map them to their potential financial impact.
This creates a common view of the business that preserves the detail needed by operations while providing the summarized insights required by finance.
As a result, S&OE decisions can be made based on potential revenue, margin, or working capital implications. At the same time, finance gains visibility into the operational drivers behind forecast changes rather than discovering their impact weeks later during the reporting cycle. As a result, teams can make smarter big-picture decisions while keeping their own lenses.
Moving from backward-looking reporting to forward-looking intelligence
When operational and financial planning are truly connected, the entire business benefits. Instead of spending time reconciling numbers, teams focus on evaluating options. Rather than waiting for monthly reports to explain what happened, finance gains visibility into what is happening now and what is likely to happen next.
In these organizations, operational and financial data remain connected through a common planning framework. Changes in demand, inventory, production, or customer service levels can be evaluated by their impact on revenue, margin, cash flow, and working capital. Planning assumptions stay synchronized across functions, reducing the disconnect that often emerges between operational reality and financial forecasts.
This also enables a fundamentally different approach to scenario planning. Instead of running quarterly exercises that quickly become outdated, organizations can continuously evaluate potential outcomes as conditions change. Teams can assess tradeoffs through both operational and financial lenses, allowing them to make decisions with a clearer understanding of risk and opportunity.
Emerging technologies are accelerating this shift. AI-assisted planning can help identify potential issues before they become material business problems. Automated exception management can surface the operational events most likely to impact financial performance. Dynamic models and operational-financial digital twins can simulate the consequences of alternative decisions, enabling faster and more informed scenario analysis. In short: decision-makers get the insights they need to influence outcomes before they occur.
Three practical actions to get started
Manufacturers can start by focusing on the areas where operational decisions most directly affect financial outcomes:
- Identify the critical operational-to-financial linkages. For most manufacturers, these include inventory, capacity, service levels, and demand variability. Each of these areas creates direct implications for revenue, margin, cash flow, and working capital.
- Establish shared metrics. The goal is to supplement, not replace, the measures your teams use. Each team retains its old metrics, but they also get new ones, such as revenue at risk, margin exposure, and inventory value at risk, helping them get a more complete picture.
- Reduce the time between signal and decision. When teams can identify exceptions earlier and understand their financial impact faster, they are better positioned to make decisions that protect both customer service and enterprise value.
The future belongs to connected enterprises
Manufacturers that can translate operational events into financial insight faster than competitors will make better decisions, deploy capital more effectively, and respond to market volatility with greater confidence. The challenge is connecting operational realities with financial outcomes quickly enough to influence the business.
Fortunately, advances in planning technology are making this more achievable than ever. Modern platforms can connect transactional operational data with financial planning models, enabling organizations to evaluate tradeoffs, model scenarios, and align decisions across functions in near real time.
At Spaulding Ridge, we've developed an accelerator built on OneStream that helps manufacturers bridge this gap. By combining operational data, financial planning, and modern analytics within a pre-built framework, organizations can accelerate the journey toward connected decision-making without starting from scratch. Leveraging OneStream's Genesis capabilities for rapid dashboard development, Dynamic Cube Services for operational data integration, and Solution Packaging Kit accelerators for deployment, manufacturers can establish a foundation for operational-financial alignment in a fraction of the time required by traditional custom-built approaches.
With this approach, manufacturers can create an environment in which operations and finance evaluate decisions using the same business context, assumptions, and a shared understanding of value.
If your organization is looking to strengthen the connection between S&OE and Finance, Spaulding Ridge can help you assess your current environment and identify opportunities to build a more agile decision-making process.
