A warehouse can win on average transit time and still disappoint more customers who expect delivery within two days. That is a selection problem worth catching before you sign a lease-length fulfillment contract.
Geographic coverage is useful for finding candidates. The final decision should use your orders, your promised service and the date the warehouse can actually hand each parcel to a carrier. A national map cannot supply those inputs for you.
Start with the promise, then define the sample
Export a representative period of shipped orders with destination ZIP, parcel weight and dimensions, service and order timestamp. Separate promotions from ordinary trading weeks. Preserve unusually expensive or difficult destinations instead of dropping them to make the spreadsheet tidy. Remove customer names and other information the quoting exercise does not need.
Ask each candidate to price and estimate the same shipment file from its proposed operating address. The UPS time and cost tool asks for origin, destination and shipment details to compare services. That supports a lane-specific exercise; it does not establish that a warehouse can process your orders on time. Keep that operating assumption visible beside the carrier result.
There are two clocks to evaluate: waiting for fulfillment and transit after handoff. A two-business-day carrier estimate following a one-business-day warehouse delay is not a two-day order-to-door plan. Define exactly when your customer-facing clock starts and which days count.
A faster average can lose the promised-window test
We constructed three hypothetical destination groups totaling 1,000 parcels. These are invented planning inputs, not carrier estimates or a comparison of named cities. Assume identical same-day handoff, no split orders and a target of delivery within two transit days.
| Destination group | Parcels | Candidate A transit days | Candidate B transit days |
|---|---|---|---|
| Group 1 | 400 | 1 | 3 |
| Group 2 | 350 | 3 | 2 |
| Group 3 | 250 | 3 | 2 |
| Order-weighted average | 1,000 | 2.2 | 2.4 |
| Parcels within two days | 1,000 | 400 | 600 |
Candidate A has the lower average. Candidate B meets the assumed two-day target for 60% of parcels, versus 40% for A. Both calculations are correct; they answer different questions. If the business sells a two-day promise, selecting A solely because 2.2 is lower than 2.4 uses the wrong decision measure.
This example does not establish that B should win. A might have lower total cost, better product handling or a more valuable concentration of next-day deliveries. It establishes what management must decide explicitly: which customer promise and order segments justify the spend?
Price the shortfall instead of hiding it
For every order outside the target, record the least expensive eligible upgrade, its incremental cost and whether the warehouse can meet the required handoff. Leave unavailable services marked unavailable. Do not substitute a premium service without pricing it.
Add receiving, storage and inbound freight to the operating comparison. A parcel advantage can coexist with a more expensive inbound route. Compare the whole operation, but retain the failed-promise count as a separate result so a low total does not conceal a service problem.
Run a second case with your expected promotional mix. If a campaign shifts demand toward a region poorly served by the preferred origin, the original average may stop being useful. This is sensitivity analysis, not a claim that the forecast will occur.
Make the finalist explain the exceptions
Ask each finalist to walk through a late order, an unavailable service and an order containing stock that is not ready to pick. Record the fallback, who approves any extra shipping spend and what the customer is told.
Our recommended decision sheet has five outputs: total comparable cost, percentage meeting the promise, cost to upgrade the misses, unsupported orders and warehouse processing assumptions. Choose the location whose tradeoffs you can defend using those outputs. Keep the coverage map as an introduction to the conversation.
Related reading
Sources
- UPS shipment inputs and service comparison — accessed 2026-10-03.