Custom SAP process by SizeGrid

Prepacking without locking the Business into Prepack Materials

Segmentation-based prepacking: packed carton flowing to store

Prepacking can significantly reduce logistics cost by shipping store-ready cartons instead of picking every SKU separately. But many businesses hesitate to commit to fixed prepack materials too early, especially when assortment decisions may still change before shipment.

SizeGrid offers a more flexible approach: logistics remains on SKU level, while packing requirements are controlled through stock and requirement segments. This allows companies to prepare efficient carton assortments by size, color, store type, customer, or transfer scenario without creating a separate article master for every prepack.

The process is especially suitable for new-season materials or selected pilot collections where stock/requirement segmentation can be activated from the beginning. Companies can test the concept on a focused material scope, measure the logistics benefit, and scale it only where carton-based fulfillment brings real value.

The business context

Prepacking can reduce handling cost, but only when the packing decision stays aligned with real demand.

Many wholesale customers and retail stores repeatedly need similar size proportions. Factory-packed cartons can reduce local picking effort and accelerate allocation, but the same cartons also introduce commitment. When demand, assortment, store grading or customer priorities change, the original packing plan may no longer be the best way to ship.

The opportunity is not only to pack earlier. It is to decide smarter.

The most effective prepacking strategies often combine packed and loose supply: for example, use prepacks for the stable part of initial allocation, while keeping additional pieces available as flexible single SKUs.

This reduces the operational work of picking without locking the full assortment into a carton structure too early.

SKU Operational unit stays familiar
Late Packing intent can be refined closer to shipment
1
Prepack planning has to balance savings and risk.

Cartons are efficient when the size mix is stable, but expensive to correct when assortment or customer requirements change after production planning.

2
Material-code-based prepack models work best when the pack structure is known early.

In environments with long pre-order horizons, the business may prefer to reserve capacity early but postpone the physical packing decision until closer to factory shipment.

3
Different packing scenarios are often handled by different mechanisms.

Generic prepacks, customer-specific packing and store-transfer packing can create parallel processes. A universal model is easier to operate, monitor and explain.

4
Reporting should connect packed and unpacked views.

Business users need to see the same commercial demand and the same physical supply, regardless of whether goods are shipped as loose pieces or cartons.

The SizeGrid approach

A segmentation-based alternative to multiplying prepack article masters.

SizeGrid’s process keeps the logistics document flow at SKU level and uses Stock/Requirement Segmentation to represent packing intention and packed stock portions. The result is a more flexible model for factory prepacking, sales-order packing and STO-based retail supply.

01

SKU-level continuity

Purchasing, STOs, sales orders and allocation logic can continue to work with the SKU instead of requiring a separate material record for every carton composition.

02

Packing intent in the segment

Generic, prepacked, customer-specific and STO-specific requirements can be represented through stock and requirement segments instead of separate process islands.

03

Isolated availability check

ATP can check the matching stock segment, helping the business distinguish loose stock from packed cartons and from stock reserved for a specific packing purpose.

What changes compared with a classical prepack-material setup?

The standard material-code-based approach remains a robust option when the pack structure is clear early and the business is comfortable ordering, transferring and reporting prepacks as separate articles. SizeGrid’s segmentation-based process is positioned for cases where packing decisions must stay flexible longer.

  • No separate article master is needed for each prepack version in the proposed model.
  • The order can start with a generic requirement segment and be refined later.
  • Switching between loose and packed demand can be handled through segment changes instead of deleting and recreating the commercial demand.
  • Packed and loose supply remain connected to the same SKU identity for operational and analytical views.
Design principle

Separate the commercial product from the logistics packing state.

The customer, store, planner and factory can all continue to speak in SKUs. The system carries the additional question – “how should this stock be packed or reserved?” – as a segment attribute that can be planned, checked, changed and monitored.

A
Product identity

Material and size-level SKU remain the primary logistics object.

B
Packing identity

Segment represents the required or actual packing state.

C
Availability identity

ATP validates whether the relevant segment has the needed quantity.

Process overview

From early demand signal to late packing execution.

The process allows teams to reserve production and supply early while keeping the packing format adjustable until the packing decision is mature enough for execution.

1. Demand capture

Orders remain on SKU level

Wholesale, retail or allocation demand can be collected without forcing the customer or store to choose a final carton structure too early.

2. Generic segment

Initial flexibility is preserved

Requirements can start with a generic segment while the business monitors demand, store grading, allocation strategy and factory constraints.

3. Packing decision

Segment is refined

When the packing plan is known, selected requirements or stock portions are moved to the corresponding prepack, sales-order or STO-specific segment.

4. Execution

ATP and logistics follow the segment

The system distinguishes packed stock from loose stock, helping operations ship cartons where efficient and loose pieces where flexibility is needed.

Where it applies

One model for several packing strategies.

The segmentation model can represent the different packing intentions that otherwise tend to require separate logistics mechanisms.

Generic prepacked cartons

Multiple identical cartons are created in a planned size mix for future allocation or replenishment.

Initial allocationStore gradingFactory cartons

Sales-order-specific packing

Goods are packed for a specific customer order when the company benefits from factory packing even if the customer orders standard SKUs.

WholesalePre-ordersLate decision

STO-specific packing

Retail transfers can receive carton logic without relying on mechanisms that are not naturally designed for STO scenarios.

Own retailTransfersStore supply
Implementation fit

Best piloted on selected new materials, seasons or collections.

Because Stock/Requirement Segmentation must be active for the relevant materials, the cleanest adoption path is a controlled pilot on newly created materials rather than retrofitting the full existing portfolio.

Prerequisite

Stock/Requirement Segmentation is activated for materials participating in the process. In the proposed rollout logic, this activation is planned for new materials, which makes a new season or collection an ideal proving ground.

Recommended pilot scope

  • Choose a limited group of new-season materials with meaningful prepacking potential.
  • Define a compact segment catalogue: generic, loose, generic prepack, customer-specific pack and STO-specific pack.
  • Test one practical allocation strategy, such as partial prepacking for the stable core quantity and loose-stock completion for the remaining sizes.
  • Validate ATP behavior, exception handling, reporting views and operational responsibility for segment changes.
  • Review the pilot before extending the approach to more materials, brands, channels or markets.

Ready to test flexible prepacking on the next collection?

SizeGrid can help define the segmentation concept, pilot material scope, operational rules, exception flows and reporting view needed to validate the process safely.

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