Define requirements from the customer promise
Document markets, order volume and seasonality, SKU profile, storage needs, inbound flows, delivery promise, returns, value-added services, support hours, and compliance constraints. Distinguish launch requirements from later scale options.
Share representative order and inventory data under appropriate controls. Generic requests produce generic proposals that are difficult to compare.
Score operational and technical fit
Use weighted criteria with written evidence requirements. Evaluate facility coverage, carrier options, cutoffs, accuracy, inventory controls, peak capacity, returns, incident response, reporting, ecommerce and marketplace integrations, and change management.
Require demonstrations using your workflows. Confirm how orders, inventory, cancellations, bundles, backorders, tracking, returns, and reconciliation behave when systems disagree.
Normalize economics and contracts
Model storage, receiving, pick-and-pack, packaging, projects, shipping, fuel, remote-area fees, returns, account management, implementation, minimums, and peak surcharges. Run typical, peak, and exception scenarios.
Review liability, service credits, data, subcontractors, termination, inventory exit, and transition obligations with qualified specialists. The cheapest rate card can create the highest exception cost.
Pilot and govern the relationship
Test a limited SKU or market set with explicit acceptance criteria for data, inventory, dispatch, tracking, delivery, returns, and support. Reconcile inventory and invoices before scaling.
Run a regular scorecard covering SLA, customer impact, cost variance, root causes, actions, and capacity outlook. Treat the 3PL as an operating system dependency, not a vendor selected once.