Start with customer service data.
Look for contacts mentioning stolen parcels, missing packages after a delivery scan, unsafe placement, deliveries left in shared areas, or customers who could not be present.
Then connect those complaints to delivery methods.
If one receiving option produces a different pattern from another, investigate why. The goal is not to assume that the delivery method alone caused the result. Customer location, order type, carrier conditions, and other differences may matter.
Replacement orders are another useful signal.
When a brand sends another product because the first parcel disappeared after delivery, that incident represents more than a shipping problem. There is product cost, another fulfillment process, another shipment, support time, and a customer who has already experienced frustration.
Failed deliveries deserve separate attention. A control that reduces unattended parcels but produces frequent unsuccessful handoffs may be solving one problem while creating another.
For pickup orders, completion should be monitored. Customers selecting the option still need to collect their packages successfully and understand the process.
Customer comments add context that operational data cannot provide.
Statements such as "I chose pickup because packages disappear from our lobby" or "I would rather have this delivered to my house" explain why different shoppers make different choices.
A practical review might include:
- theft and missing-package contacts by delivery method
- replacement orders connected to post-delivery loss
- failed or unsuccessful delivery attempts
- pickup completion when pickup is offered
- customer questions about receiving options
- feedback about where packages are being left
Reviewing these signals together gives teams a better picture than shipment tracking alone.