The sales order is one of the most critical signals in demand and supply management because it represents committed customer demand. It isn’t a projection but an order the company must fulfill. In a well-run supply chain, the sales order becomes the anchor that aligns demand with supply decisions as it ties customer needs with planning, inventory, and operations. In more than 80% of clients, quickly understanding sales order status, where the order is in the process, the responsible party to move the sales order to the next step, and the expected ship date/ available to promise (ATP) drives customer and EBITDA success. Proactively managing the sales order is integral to supply chain transformation and is a key input SIOP (Sales Inventory Operations Planning) success.

We’ll talk through supply chain transformation, what’s included, how it relates to SIOP, ERP, and AI, and review a case study example.

The Importance of the Sales Order

The sales order is fundamental to demand management because it represents the conversion of expected demand into committed demand—and that shift is where demand management either succeeds or breaks down. Effective demand management isn’t just about building a good forecast. It’s about continuously reconciling the forecast with reality, and the sales order is the clearest signal of that reality. However, it doesn’t stop there. Sales orders measure forecast accuracy in real-time, it evolves as new information becomes available, enables the prioritization of demand, becomes integral to the fulfillment of demand, plays a key role in SIOP and the proactive alignment of demand and supply, and provides customer level demand intelligence.

Custom Manufacturing & the Sales Order

In custom manufacturing environments (engineer-to-order ETO, configure-to-order CTO), sales orders are vital to fulfillment. Typically, these companies will follow a pipeline with potential orders/ orders moving from potential opportunities (revenue estimates) to configured and priced quotes (CPQ) to sales orders (as quotes are won and turn into firm commitments). The bridge between opportunities (typically managed via CRM systems such as Salesforce) to quotes (typically managed via CPQ systems and/or complex spreadsheets and engineering programs) and sales orders (managed via ERP systems and related technologies such as customer-connected systems) becomes essential and is where 80% of the improvement opportunity typically lies. As they make it to sales orders, it is the beginning, not the end. For clients that support building and construction, parts lists, installation sets and release schedules are an important translation of orders into executable deliveries. For all custom products, tracking the progression through process steps (order processing, design engineering, manufacturing engineering, bom and routing setup, planning, operations, assembly, processing services (such as paint), shipping, and more becomes key to gaining visibilty, predictability and serviceability for customer and company success.

E-commerce (B2B/ B2C) & the Sales Order

In e-commerce (B2B and B2C) environments, the sales order becomes even more critical because it is generated in real time, at scale, and with immediate customer expectations. The sales order is directly tied to the customer promise and typically require Amazon-like service (same-day or next-day). In this case, sales orders typically come through e-commerce portals such as Shopify, Salesforce Commerce Cloud, and Adobe Commerce and must have real time access to inventory availability and available to promise (ATP) delivery dates. These systems must bridge real time to your order management system (OMS) which is part of ERP for planning and then ERP typically bridges to warehouse management systems (WMS) for fulfillment of the orders on the warehouse floor. Each sales order triggers a rapid execution process inclusive of order routing, pick, pack and ship processes, and last-mile delivery coordination. Order status remains integral with the key to success relying on immediate visibility for customers throughout the order fulfillment cycle inclusive of returns and reverse logistics. E-commerce environments experience demand swings due to promotions and customer trends, therefore relying on robust demand planning and sales forecasting business systems.

The Importance of the Sales Order

All businesses from aerospace to healthcare products rely strongly on the sales order. Sales orders come via many channels including EDI, vendor managed inventory (VMI) programs, customer portals, emails automated with artificial intelligence, phone calls, etc., and flow into the ERP system for planning, execution and fulfillment. Depending on the supply chain network, fulfillment and freight requirements, the order will flow through WMS systems, 3PL / 4PL networks and transportation management (TMS) systems for delivery to the customer. No matter the complexity and use of systems, the sales order remains key to success. It is typical for clients to organize cross-functional groups to monitor order status and ensure on-time and quick delivery. It becomes vital as past due increases and supply chain resources want to get ahead of changing conditions and ensure customer success.

Blockchain and the Sales Order

Blockchain and the sales order intersect around a single objective: creating a trusted, real-time, and tamper-proof record of demand and fulfillment across the supply chain. While ERP and WMS manage transactions internally, blockchain extends the visibility of the sales order across organizational boundaries to customers, suppliers, logistics providers, and financial partners. In essence, blockchain creates a shared ledger where the sales order and its status updates are visible to all authorized participants, thereby creating full supply chain visibiltiy inclusive of financial flows. Although this sounds ideal for all scenarios, it is complex and expensive and so best utilized when multiple independent parties share trusted data, and there is a high risk of disputes or fraud, and supply chains are complex and globally distributed. For example, food and beverage, pharmaceuticals & life Sciences, aerospace and defense, and global shipping have pursued this functionality.

Demand Planning and the Sales Order

The sales order is essential to demand planning and sales forecasting process. Sales forecasts reflect expected demand, and sales orders reflect actual demand. Sales forecasts are based on sales order bookings trends and/or sales order shipment trends, adjusted for seasonality and statistical trends. Sales orders are integral to tracking consumption vs the forecast so that it can be adjusted for real time changes to demand. Sales orders also provide real time insight into forecast accuracy.

SIOP and the Sales Order

SIOP (Sales, Inventory & Operations Planning) and the sales order are tightly linked because they represent two different levels of demand management working together. SIOP reflects the forward-looking plan whereas sales orders reflect the real time execution signal for that demand. Our best clients see sales orders as the most stable form of demand since they are attached to firm commitments. In today’s supply chain, the customer expected dates can move around significantly; however, companies generally consider them to be committments wtihin a reasonable timeframe. Thus, SIOP forecasts might dig down into multple layers of sales order segments to reflect vaious levels of firm timing and/or customer requirements. For example, in custom manufacturing, sales orders in engineering are less firm in timing vs orders in planning which are more secure but not as secure as those orders in manufacturing (work-in-process, WIP) or in inventory. In customer centric enivironments, capturing sales order demand by key customers provides valuable insights. SIOP wlil also translate sales order demand in addition to other demand streams (quotes, forecasts, spares, independent demand) into capacity requirements to proactively plan manfuacturing operations, warehousing and storage requirements, transportation needs for equipment, labor, costs, etc. To learn more about how to rollout SIOP effectively, download our eBook, “SIOP: Creating Predictable Revenue and EBITDA Growth“.

ERP, Artificial Intelligence and the Sales Order

ERP and sales orders are inseparable because the sales order is one of the central transactions that drives everything inside the ERP system. Entering, managing, monitoring, and tracking status of the sales order occurs in ERP and is essential to ensuring customer, revenue and execution success. ERP uses the sales order to connect demand and supply and provide real time visibilty into order status, shipments, and returns.

Artificial intelligence is transforming the management of sales orders. Whether incorporated in ERP or peripheral technologies, traditional order entry of sales orders is being automated. AI can interpret sales order information from emails, customer portals, and other sources, create sales orders and send to appropriate resources for review and approval. Or, you can set up modern systems to approve automatically wtihin limits or guidelines. AI systems will also follow up on order status and communicate with customers if desired. If the date is going to move slightly or if the company wants to send a notification when shipped, AI can automate a notification to the customer. Agentic AI systems can perform tasks such as “follow my order” and can follow up on order status and automate communications and receive feedback. To learn more about utilizing AI, download our eBook, “How AI Powers Smart Supply Chains and Smarter Decisions“.

Fulfillment of the Sales Order & Revenue Predictability

The fulfillment of the sales order is integral to revenue predictability and ensuring profitable growth. In most organizations, planners are responsible for forecasting revenue for the month and quarter based on order backlog management, fulfillment forecasts, and other demand inputs (quotes, customer forecasts, spares/ aftermarket, etc.). Every client that comes to us with struggles related to revenue forecasting, service, lead times, and inventory availability requires a concentrated focus on order processing and order backlog management. 100% of custom manufacturers require emphasis on the quote to order conversion process and tracking order status / gaining supply chain visibility of the end-to-end supply chain and order fulfillment processes. E-commerce clients require a focus on demand management, sales forecasting, and the automation of sales orders. Almost every client needs additional focus on order backlog management and sales order consumption of demand to adjust forecasts in real time.

Case Study: Aerospace Manufacturer Focuses on Orders to Improve Service

An aersopace manufacturer struggled to forecast revenue and fulfill orders on-time with changing customer conditions and last minute requirements. They dramatically improved service levels by rolling out forecasts for largely secure upcoming demand (using independent demand sales orders to drive their ERP system) and accompanied that with a SIOP (Sales Inventory Operations Planning) process to better align demand with supply (capacity, materials). Although they went from the 60%s in service level to the 90%s, it was not enough. Thus, they focused additional attention on their order processing and order backlog processes, and integrated engineering, planning and operational execution into a cross-functional coordination process.

The keys to success in driving dramatic improvements in service levels included teh following:

  • New products: The NPI (new product introduction) planners were incorporated into the planning team and engaged in the prioritization of production capacity and order fulfillment process.
  • Outside processing: It is always the peripheral processes under less control, requiring extra steps and coordination with outside resources that create havoc. Thus, they integrated the orders and resources related to oustide processing steps into the backlog process and increased reliability.
  • Independent Demand: HIghly likley future customer orders (sales forecasts) were captured via independent demand in the ERP system. In essence, they were added as expected customer orders and managed carefully with changing customer conditions, customer committments, etc. By including these orders, the cross-functional team was prepared to fulfill long lead time items and secure capacity on the production lines. Because the team was cautious, they only included orders that were 80-90% likely to occur and maintained over 90% forecast accuracy.
  • Materials availability: Involving the materials planners and procurement resources in the cross-functional team was integral for tracking material availability and estimated time of arrival (ETA) of incoming purchase orders. As much as they could gain access to end-to-end supply chain visibility, the better for fulfilling customer orders and managing exceptions.
  • Capacity availability: By understanding order priorities, independent demand (high likelihood upcoming orders) and comparing with equipment and labor capacity by work centers/ machine groups, the Operations team could plan ahead accordingly, work with Engineering proactively to program machines, adjust shifts, and feed production lines with materials to ensure product availability for orders. By developing this business intelligence (BI) view, we gained corporate approval to hire critical machinists to address bottlenecks.
  • Proactive date management: Customer Service was involved in the the cross-functional team, proactively managed customer due dates with customers and kept the ERP system maintained, and followed up with customers with options, priorities and for expedite requests.

The team delivered results. Service levels went up to the high 90%s and the client achieved improved status on key customer scorecards. Proactively managing orders was integral to success.

Case Study: Industrial Equpiment Manufacturer Had to Scale Rapidly to Meet Customer Needs

An industrial equipment manufacturer struggled to keep up with customer requirements and meet growth goals. Although part of the issue was ramping up production capacity and capabilities, a key bottleneck to meeting customer needs was the proactive management from opportunities to configured quotes to customer orders, release schedules and the successful fulfillment of that demand to meet installation schedules. Sales was frustrated with the lack of visibilty of when order releases would ship, production was frustrated with the constant schedule volatility, and purchasing was frustrated with the lack of visibilty to which plants needed key commodity deliveries with sufficient lead time as mills do not change over for frequent emergencies. The team focused on the following priorities to turn around the situation:

  • Order configuration & bridge to sales order: As it always key in custom manufacturing, the order configuration and bridge to the sales order was integral to the process. The IT team rolled out CPQ functionality and built a bridge to ERP, improving this process beyond 80%+ of clients.
  • Installation & order releases: In building and construction customer environments, this is always a hot topic. Thus, automation was rolled out to enhance the abiltiy to translate blanket sales orders into release schedules with specific dates based on installation.
  • Automation of order processing: The team rolled out additional automation capabilities to support more efficient order processing.
  • Order status visibility & priority: This became a critical step in gaining visibility of what was expected to come down the pike with whatever level of product detail could be derived. By gaining clarity of what was in engineering vs planning vs assembly etc., the team could better manage the process. For example, by gaining an idea of operational capacity requirements and priorities, the team could provide Engineering with priorities, thereby freeing up critical items.
  • Customer expected date visibility: As the team rolled out advanced ERP and MES (manufacturing execution system) system functionality to better support master planning and production scheduling and the prioritization of the order releases, they were better able to determine and maintain realistic customer expected dates. This provided vital visibility to Project Management and the Sales team.
  • Proactive management of order changes: As is typical in these types of environments, installation schedules and order releases move constantly. Thus, the team build several supply chain planning tools and automation capabilities to maintain production schedule priorities to make the successful fulfillment of orders as efficient as possible. This also led to greater operational efficiency and improved the abiltiy to scale.

These strategies delivered results. Sales could count on customer expected date visibility, Operations could count on capacity forecasts and evaluated opportunities to optimize service, freight and operational capacity, Engineering could get ahead of changing customer priorities to work on the “right” item for the “right” place at the “right” time, and Purchasing could gain a better view into demand. Thus, the company could scale effectively and meet growth goals.

The Bottom Line

The intersection of demand and supply is at the sales order. Our most successful clients focus attention on the inception of the sales order to the successful fulfillment of the sales order. Not only does this approach improve the customer experience, but it also delivers EBITDA (earnings before interest, depreciation and amoritization) and improved working capital.

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