Sales Forecasting
Constrained vs Unconstrained Demand and S&OP
Through the S&OP process, the organization sets a projected business level that balances expected sales and production capabilities with financial and inventory implications. The constrained demand plan reflects a demand plan aligned with the supply plan.
Do we need both?
Many companies find it useful to distinguish and track the gap between unconstrained and constrained demand plans. An increasing gap may indicate lost opportunity to realize sales that exceed current capacity. Companies should scrutinize unconstrained demand signals to verify demand is real versus “pie-in-the-sky”. Long term capital improvements aimed at increasing capacity need to be aligned with realistic projections of future demand.
Finally, the constrained demand plan feeds a consensus plan to which the organization agrees to execute. Our Sales and Operations VPs need to stop fighting and starting aligning. S&OP facilitates this necessary collaboration.
Reduce Surprises. Reduce Inventory. Improve Operational Efficiency. Increase Sales.
Sphere: Related ContentSales and Operations Planning, Collaborative Demand Planning Depends on Bottom-up, Top-down and Statistical Forecasting

An effective S&OP program depends on solid, accurate demand forecasts. Best practice companies do three things well: statistical, top-down and bottom-up forecasting. Many companies are doing one or two of these, but few are doing all three well. Of course, some companies do none. Let’s just say these companies have a huge upside improvement potential.
A statistically generated forecast should use a “best fit” approach to select the mathematical algorithm that minimizes error (such as mean absolute percentage error (MAPE)). The statistical engine should select the best algorithm for each time-phased data series or set of regression data. The resulting forecast should serve as a starting point for bottom-up and top-down forecasts.
Bottom-up forecasts are accumulated from many contributors. A distributed sales force may have hundreds or thousands of contributors. Each contributor has a specific area of expertise such as a specific customer, product or geographic area. The contributor enters her forecasts for her specific area of responsibility. Forecasts from all contributors are summed to capture an overall bottom-up forecast.
Conversely, a top-down approach applies a more centralized view. A small number of forecasters will look at various inputs and generate forecasts. Influencing factors may include market data, economic indicators, and general product and customer trends. Here, too, the statistically generated forecast is a good number from which to start.
The beauty of top-down and bottom-up forecasts is their ability to look at the world from differing vantage points. The folks in the “ivory tower” know important information, but they don’t know everything. The folks in the field have keen insights into their unique areas, but they only see their small piece. The challenge is to capture the small pieces without tainting the field forecaster’s view. In other words, don’t tell the field forecasters the top-down targets. When field forecasters are told what their forecasts are expected to be, they tend to send back values right in line with the top-down values. Such tainted bottom-up forecasts miss the point of gathering field intelligence.
An effective marriage will capture top-down and bottom-up forecasts separately. A management by exception S&OP tool will make comparisons quickly to enable users to analyze critical differences and refine the ultimate consensus driven forecast.
Sphere: Related ContentManaging Future Demand in a Rapidly Changing Environment
Early in 2007, during the high tech industry downturn a major supplier of networking and bandwidth management solutions for telecom service providers, launched a global forecasting initiative to more accurately predict future demand for its equipment. The goal was to better align the operations plan with a more accurate picture of customer demand to improve service levels and reduce potential inventory write-offs.
Historically, company planners had cobbled together forecast data from multiple systems — a problem compounded by mergers and acquisitions— using unwieldy spreadsheets, manual processes spanning multiple departments, and only a minimal amount of analysis. The resulting forecasts were often inaccurate. In the post-boom economy, flexible and accurate planning would not only be critical to stabilizing current operations, but would play a center-stage role in strategic decision-making across the entire organization.
However, solving this problem was no easy task. Like many technology companies, the company begin outsourcing in late 2003. With this business model, forecasting and planning product sales became an even greater challenge– 11 major product lines, 50 product families and more than 10,000 SKUs to forecast for hundreds of customers across the globe. In addition, their products were highly configurable and customized, ever-changing with constant updates. And, many of these configurations had a very short lifecycle—additional creating forecasting complexity.
Further, the company had independent planning processes through various departments: Sales created revenue forecasts; finance created revenue targets; and operations did product forecasts–all different processes usually with different measurements that did not tie together. They were manual processes with no timelines, all managed through a combination of SAP r/3 and Excel spreadsheets. It was difficult to maintain any consistency and data integrity. With minimal feedback between the groups, there always were differences in the numbers.
The Global Demand and Order Management team had to manage day-to-day consensus planning for hundreds of products, while supporting senior management efforts to reorient the company’s entire business strategy.
- What would the demand ramp look like in each region and segment?
- What impact would new market entries have on product mix and profitability?
- What effect would canceling or delaying a new product have on revenue streams and customer satisfaction?
Company executives needed answers. In essence, they needed a way to seamlessly integrate and executive on their demand forecasts, enabling every group from marketing and sales to operations and the CFO’s office to drive their actions based on a common understanding of the demand.
The company quickly identified requirements for a completely new business system, one that pushes the proverbial envelope of traditional forecasting and planning system, by including:
- Effective process and change management to support flexible, strategic planning and drive shorter cycle times
- Support for complex product lines, including variable product mixes, hierarchies and life cycles
- Support for diverse business processes to accommodate new product development and acquisition, multiple currencies, and unique rules for material, revenue and sales forecasts
- Cross-functional visibility and participation across sales, marketing, finance and operations, with the ability to offset gaming, normalize disparate reports and support international users
The company evaluation team reviewed their current ERP capabilities as well as supply chain management (SCM) solutions. They found that current resources could not effectively support planning of highly configured products and were biased toward production forecasting, when they needed flexible cross-functional forecasting and planning.
Moreover, the company needed a solution that addressed consensus planning for complex manufacturing that would support both operational efficiency and plan performance management. So after evaluating the demand planning modules by SAP and SCM vendors, the company chose Steelwedge Software (www.steelwedge.com).
Steelwedge offered the company a unique approach which leverages the Steelwedge Sales and Operations Planning (S&OP) platform, a combination of best practices gained in over a decade of forecasting and planning research and implementation with dozens of complex manufacturers, plus a next generation technology engineered by enterprise software and business planning veterans.
The company’s Global Demand and Order Management organization first created a standard forecasting and planning process with fixed time schedules and managed all the activities to keep all groups on schedule. There was a dramatic increase in collaboration between the sales, finance and operations departments on information and key assumptions.
Then, the departments began to engage each other in a more systematic fashion. As a result, the need for intensive reconciliation went away and allowed them to move to a monthly process. Every month after the forecast is done—first the sales input is made, then the revenue targets are set, and then the product forecast is done— the teams get together to review any discrepancies and ensure that the departmental plans all in sync and they are all on the same page. Hence, the solution has also allowed them to manage forecast by exception as opposed to each line item.
Today using Steelwedge Software, the company creates a consensus forecast that incorporates direct feeds from the corporate sales opportunity pipeline system and balances the bias of operational systems with quantitative and qualitative input from cross-functional teams. The new process has cut forecast cycle times and allowed staff to focus more time on analysis and planning. The Steelwedge implementation, including integration with the company’s CRM system used for sales pipeline management and with multiple SAP r/3 systems, took less than 16 weeks.
Steelwedge now serves as the central link between company’ CRM and SAP ERP systems. The company has also extended the Steelwedge solution through a web services interface to the company portal—giving users and executives access to current and historical pipeline numbers and forecasting analysis.
With Steelwedge, the company gained greater visibility and predictability in their business and a less costly, more effective way of planning. Not only do operations run more efficiently, during the first phase of the project, the company achieved some significant strategic business results.
- Provide strategic insights that guided critical financial, product management and marketing decisions
- Smoothly managed the integration of major acquisitions including AFC and Vinci Systems driving new revenues and sustaining North American optical market leadership
- Accelerated development of international versions of product lines, leading to significant new accounts
The company’s ‘ initial investment in Steelwedge paid for itself in less than one year. Today, the company reports millions of dollars in annual cost savings in inventory and logistics. In addition to being the critical bridge across organizations and functions, the company expects that its current S&OP automation project with Steelwedge, will save them nearly a million dollars annually, provide an IRR of over 62%, and pay for itself in two years. In addition to improvements in supply chain management metrics arising from the project, the company expects to further facilitate strategic planning, improve Wall Street guidance, and free up key personnel to focus on value-add activities.
And with the assistance of business intelligence provided by Steelwedge Software, the company has revamped its business strategy, targeting high-yield markets, internationalizing key product lines and closing major acquisitions. The result: significant quarter-to-quarter revenue gains and strategic new accounts. As the industry digs out from the crash, the company looks forward with confidence. With strategic forecasting now a top priority, and Steelwedge driving consensus planning, the company is set to control its own destiny.
The company’s’ Global Demand and Order Management organization has developed a highly effective cross-functional forecasting and demand planning process, setting the stage for the company’s to move toward a comprehensive Sales and Operations Planning (S&OP) process incorporating extensive supply, demand, and financial feedback from sales, marketing, finance, and operations. The goal of the global S&OP project is to improve executive visibility and drive efficiencies across the organization. In addition to selecting Steelwedge Software to support post-merger planning, the company has also chosen Steelwedge to support their its global S&OP process roll-out.
Forecasting and planning “guru” Dr. J. Tom Mentzer said “Now that the company has adopted best-in-class forecasting and demand management practices, increased its global footprint, and made several major acquisitions, it is natural for company to leverage the industry’s leading business planning software solution, to enable a best-in-class global S&OP process.”
Sphere: Related ContentRelease 5.1 with Sales & Operations Planning (S&OP) Dashboards

Steelwedge introduces Release 5.1 with Executive Sales and Operations Planning Dashboards Steelwedgecontinues its rapid growth as five new customers select SPPM Release 5.1 — the industry’s leading cloud-based Sales and Operations Planning (S&OP) solution.
Youtube Video Link: Steelwedge Sales and Operations Planning release 5.1
Steelwedge Software, the leading innovator in Sales and Operations Planning (S&OP) solutions, today announced a new product release for its Cloud-based Sales Planning & Performance Management (SPPM) solution featuring configurable Executive S&OP Dashboards, enhanced best-practice based Executive S&OP workflow capabilities, and expanded scalability.
Steelwedge SPPM Release 5.1 represents a significant milestone in the product’s maturity and development life cycle. The primary focus of Release 5.1 was to further enhance usability, scalability, elevate a business user orientation and extend the supportability of the platform. In particular, enhancements and new capabilities have been developed for Release 5.1 in the following areas: User Interface, Dashboards, Workflow Scheduling, Configuration and Platform.
One of the most visible changes in SPPM Release 5.1 is the new web based Executive S&OP homepage which has evolved into a more powerful business user work center designed to help a user plan, monitor performance and manage by exception. The new homepage includes an intuitive tabbed structure.
Release 5.1 also incorporates a new, best-in-class statistical forecasting engine – the Steelwedge Optimized Forecasting Engine (SOFE), enhanced Excel-based S&OP Templates and powerful customer-level S&OP Master Data management capabilities.
“Steelwedge Release 5.1 enables Steelwedge to further strengthen our leadership position in the S&OP marketplace”, said Steelwedge CEO Glen Margolis, “Existing Steelwedge customers and prospects are extremely excited about the new release because it will have a significant impact on their financial and operational performance.”
“With Release 5.1, Steelwedge has continued to assert its leadership position as the best-in-class S&OP solution – Steelwedge has enabled us to reduce our inventory by over 18%. We are confident that the new release will enable us to even further improve our business operations” said the COO of a leading high technology manufacturer and Steelwedge customer.
As a Certified SAP Partner, the Steelwedge S&OP solution release 5.1 seamlessly integrates into SAP ERP and APO to drive Executive Sales and Operations Planning processes. Recent Steelwedge customers adopting Release 5.1 include General Electric, Intuit, Contech and Hospira.
Sphere: Related ContentKaizan, The Boston Marathon and S&OP
Successful S&OP implementations requires strong executive leadership, a process-focused S&OP planning application, teamwork, an understanding of the best practices and clarity in regard to the two levels of S&OP—Executive and Operational. Best-in-class S&OP processes also require continuous improvement and a never-ending drive toward better organizational alignment – Kaizan. In other words, implementing a really effective S&OP is a marathon not a sprint.
Frequently heard pain points include:
| PAIN POINT | PERSPECTIVE | |
| Sales, Marketing, Finance and Supply Chain seem to be operating to four different numbers. We spend a lot of time reconciling different views of what ‘demand’ will be. | Rather than driving to “one number”, which often leads to non-value added reconciliation, leading companies are instead operating to an “aligned set of numbers”. | |
| We’ll invest in a promotion to stimulate demand but then have trouble supplying the product to satisfy that lift in demand. | In industries such as consumer goods with substantial event-driven demand, companies are moving from a total forecast to a “base and lift” component design. | |
| We never seem to be able to predict how new products will do. | The demand forecast for a new product needs to systematically incorporate insight on the amount of marketing funding and the breadth of distribution (regional vs national). | |
| Shortfalls to our financial plans force us to ‘push’ product last minute to our trade partners at the end of the quarter. | To proactively identify revenue/profit gaps in time to develop consumer pull programs to close them, companies are systematically “dollarizing” their volume forecast across the entire planning horizon. | |
| We seem to be flooded with customer data / POS information that we do not know how to effectively use. | Companies are developing Demand Sense and Respond capabilities to dramatically increase visibility to customer demand and the ability to use this information effectively.
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| Executive presence is limited. We spend more time talking about data problems than making decisions | Companies with best-in-Class S&OP processes leverage a single S&OP platform that provides drill down, ‘what if’’ analysis capabilities, and true cross-functional integration. |
Successful companies are increasingly shifting focus from driving functional excellence to improving synchronization across internal functions and with external trading partners—suppliers and customers.
S&OP links strategic and operational planning including production, sales, finance and marketing across all time horizons. A robust S&OP process ensures that marketing, sales supply chain and financial processes are synchronized to deliver an accurate view of customer demand. Demand sense and respond capabilities provide visibility to near term demand requirements and financial trade-offs. Continuous improvement — Kaizan — requires constant refinement of every element of S&OP. With repetition and Kaizan, S&OP becomes ever more effective and drives constant efficiency improvements across a corporation.
Sphere: Related ContentThe economy is getting better, oil prices are up…what next?
Anyone following the news is aware of the now steady drumbeat (finally!) of good news on the economic front. Exports are up, Europe is doing better, home sales are up, and, of course, the stock market is up. But wait, what follows next? Oil prices are up. Soon, commodities prices will start rising. Then transportation costs will rise.
So what does this mean for manufacturers and how does it relate to Sales and Operations Planning (S&OP)?? Clearly, after many quarters of focus on efficient operations and lean inventory management, the focus will once again shift to managing supply chain costs. Transportation costs, materials costs, and eventually labor costs will eventually rise to prominence.
Are you prepared?
Effective planning is essential. How will your operations change if there is another oil spike? What will you do if a port is closed down by a strike? How do transportation economics impact lead times? These are just a few of the questions that must be understood by planners.
Ensuring that your S&OP Plan incorporates scenarios that mitigate these concerns is fast becoming essential. Ensuring that your team is aware and focused is even more essential. Today’s S&OP solutions such as Compass Express by Steelwedge offer the perfect antidote for these kind of challenges.
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