Mixed-SKU palletizing builds a shipping load from different products rather than repeating one carton pattern. It adds a planning problem to the handling problem: the system must decide which case belongs where, then receive and place cases in a workable order. A buyer should evaluate product data, sequencing, load quality, and recovery alongside the robot.

Define the mix you actually need

Distinguish three requirements. A line that changes between single-SKU pallets needs recipe changeovers. A pallet with several full, uniform layers needs layer sequencing. A pallet combining different carton sizes within a layer needs more flexible placement planning. Suppliers may describe all three as mixed palletizing, so attach representative completed orders to the request for quotation.

Include the orders that create difficult combinations: a few large cases with many small ones, fragile items near heavy products, unusually tall cartons, and small orders that do not fill a pallet. Specify shipping constraints such as maximum height, weight, permitted overhang, label visibility, and customer unloading preferences. Our case palletizing guide covers the physical cell once this order-level requirement is clear.

Make product data usable

Create a product record that distinguishes nominal dimensions from the range measured on filled production cartons. Assign an owner for changes in packaging. Record permitted orientations, handling surfaces, incompatibilities, and any stacking restrictions supplied by your packaging team. Do not ask a planning algorithm to infer carton strength from weight or dimensions.

Dematic's mixed-case fulfillment description connects storage, retrieval sequencing, and pallet building. For procurement, our recommendation is to test these together using your order history. A visually attractive packing plan is of limited value if the feeding system cannot deliver cases in that order without excessive recirculation or waiting.

Data or ruleOwner to nominateAcceptance example
Filled carton dimensionsPackaging or master-data teamCompare records with sampled production cases
Load-bearing restrictionPackaging engineeringExclude a prohibited placement
Order and destinationWarehouse system ownerPreserve identity through a diverted case
Grip constraintsTooling supplier and integratorReject an unsupported orientation
Plan revisionPalletizing software ownerReconcile after a missing case

Validate the load as a shipping product

Ask packaging and logistics teams to define how load quality will be judged. Assess support under each case, overall shape, deformation, containment, and compatibility with the actual distribution route. A rendered three-dimensional pattern demonstrates geometry. Physical testing is needed to evaluate the packaging and transport conditions you intend to accept.

Keep robot access in the review. A valid final position can still be difficult to reach once neighboring cases are present. Check the order of placement and the space needed to release the gripper. Piab's robotic gripping range illustrates that palletizing tooling is a separate equipment choice. Require trials on the case family and tool configuration actually quoted.

Compare alternatives when the hardest cases dominate complexity. A planned manual route for a small excluded family may preserve a simpler automatic process. Quantify that workload rather than treating exclusions as rare without evidence. The piece-picking qualification method offers a useful way to weight coverage by real demand.

Preserve order state through exceptions

Write the behavior for a missing case, unreadable code, damaged case, unavailable pallet position, and interrupted build. Identify which system can change the plan and which must approve the new sequence. A robot should not silently substitute an available case because it fits an empty space.

GS1's logistic-label guidance links a physical logistic unit to electronic information through its identifier. Apply that principle by retaining the relationship between pallet identity, ordered contents, and confirmed placements. Agree how a partial pallet or manually corrected load is reconciled before shipping.

Request an order-replay test

Ask suppliers to replay a representative order set and report finished pallets, waiting time, handling exceptions, and rejected plans. Then physically build selected difficult orders. Record manual effort, packaging damage, and actual outfeed rate. Specify that downstream wrapping and removal are included where they affect sustained production.

Scope the FAIRINO arm within the mixed-case system

A FAIRINO arm can be considered for the handling portion of a mixed-SKU concept when the load, access, and cycle requirements fit. The FAIRINO lineup provides model starting points; order planning, sequencing, and load validation remain explicit parts of the project scope. Request a FAIRINO mixed-case palletizing quote with representative orders and product records. Ask which software generates placements, how those placements reach the robot, and who owns recovery when the physical load differs from the plan.

Sources and further reading

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