Use recent order data: active SKUs, units per order, parcel dimensions, destination mix, seasonality, return rate and special handling. A quote based only on monthly order volume hides the work that drives cost.
Orders and SKU profile from the last 30–90 days
Packed weight and dimensions by order family
Destination, return and seasonality mix
02
Define service levels and exceptions
Agree receiving lead time, order cut-off, preparation rules, stock discrepancy handling and escalation contacts. Exceptions should have owners before the first inbound arrives.
Receiving and stock-entry target
Order cut-off and dispatch expectation
Named owner for discrepancies and holds
03
Compare the complete cost per order
Separate inbound, storage, pick and pack, packaging, value-added work, transport, returns and minimum commitments. Model at least a normal month and a peak month.
Recurring operational cost
Carrier and surcharge exposure
Exceptional handling and minimums
04
Test before the full migration
A controlled sample validates SKU data, labels, packaging, order import, tracking return and customer communications. Only move the remaining stock after the sample flow is understood.
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