Absatzplanung

What is sales planning?

Sales planning is the process by which a company determines what quantities of a product or product group are expected to be sold within a given period. The results feed directly into production, procurement, and inventory planning, and therefore play a decisive role in determining how much capacity, stock, and budget a company must provide. Without reliable sales planning, companies face either excess inventory that drives up warehousing costs, or stock shortages that jeopardize delivery capability and customer satisfaction.

How does sales planning work in practice?

Typically, you combine quantitative and qualitative methods. On the quantitative side, statistical techniques such as moving averages, exponential smoothing, or regression-based models analyze historical sales data. Qualitatively, sales team assessments, market intelligence, and event planning (e.g., promotions, seasonal peaks) supplement the figures. In integrated planning environments — often referred to as Sales & Operations Planning (S&OP) — these inputs are consolidated in a structured review process involving sales, marketing, supply chain, and finance.

The planning horizon varies considerably by industry and product: short-term sales planning typically covers four to twelve weeks and drives operational scheduling. Medium-term planning (three to twelve months) provides the basis for capacity and procurement decisions. Long-term planning (one to five years) supports strategic investment decisions such as site selection or automation. Many companies maintain all three horizons in parallel, but synchronize them in different cycles.

A central challenge is managing plan deviations. Forecast errors can never be entirely avoided; what matters is how quickly you identify deviations and how flexibly buffer mechanisms — such as safety stock or flexible supply contracts — can respond. Common metrics for measuring forecast quality are the Mean Absolute Percentage Error (MAPE) and Bias.

What should you look for when choosing?

When selecting methods and software for sales planning, you should evaluate the following aspects:

• Data foundation: How long and how clean is the available sales history? Missing or inaccurate data significantly limits the value of statistical methods.
• System integration: Sales plan data must be reliably transferred to ERP, WMS, and scheduling systems. Gaps between systems create manual effort and sources of error.
• Granularity: Are you planning at the SKU level, product group level, or by region and channel? The required level of detail depends on your product range and supply chain.
• Collaboration capability: Can sales teams and external partners (e.g., retailers) enter or comment on plan values directly? Collaborative planning often improves forecast quality, but requires clear processes.

Whether a simple spreadsheet model or a specialized planning solution makes more sense depends on the size of your assortment, planning frequency, and integration requirements — no blanket recommendation can be made here.