Map failure by route and handling stage
Grouped damage evidence by SKU, carrier lane, box condition, internal movement, and complaint reason before selecting design changes.
Case Studies
Damage Reduction for DTC Shipping
A direct-to-consumer program reduced transit damage by redesigning pack fit, cushioning strategy, and fulfillment handling rules.
Case Study
Damage Reduction for DTC Shipping
A direct-to-consumer program reduced transit damage by redesigning pack fit, cushioning strategy, and fulfillment handling rules.
Ecommerce and consumer goodsShipping damageEcommerce shipperCorrugated outer cartonProtective insertVoid fill
At a glance
Customer type
Direct-to-consumer brand shipping fragile or presentation-sensitive products
Packaging formats
Ecommerce shipper · Corrugated outer carton · Protective insert · Void fill
Main issue
Transit damage kept increasing on mixed-carrier routes, but the team could not tell whether the failure was box strength, internal movement, or packing execution.
Project type
Shipping protection and fulfillment review
Common Industries
Ecommerce and consumer goods
Region
Domestic and cross-region delivery routes
Before
- Claims were discussed as a general damage problem without route-level priority.
- Protective material was added broadly, increasing cost and pack time.
- Fulfillment teams had limited guidance for borderline packing situations.
After
- Damage evidence was separated into movement, compression, impact, and handling categories.
- Protection changes focused on the highest-risk SKUs and lanes first.
- Packing rules became easier for warehouse teams to execute consistently.
What we reviewed
Damage photos, return reasons, and customer complaint language
SKU dimensions, product fragility, and internal movement space
Carrier lane, delivery distance, and handling assumptions
Current packing steps, pack time, and material usage
What changed
Redesign fit and impact zones
Adjusted internal support points, edge protection, and cushioning placement around the actual movement and impact pattern.
Phase the rollout through high-risk lanes
Started with the routes and SKUs causing the most replacement work, then used feedback to decide broader rollout rules.
Could this apply to you?
You see damage claims but do not know the true root cause.
The team is adding more protection without a clear ROI.
Breakage is concentrated in a few routes, products, or campaign periods.
A better pack must still work inside warehouse speed constraints.
Timeline
Evidence review
Sort damage examples by SKU, route, carton condition, and internal product movement.
Protection redesign
Adjust fit, cushioning zones, and handling rules for the highest-risk scenarios.
Lane validation
Use phased rollout feedback before extending the new rules to all shipments.
Evidence to track
Damage claims by lane
Track claims and replacement workload by SKU, route, and carrier stage.
Pack execution impact
Track packing time, material use, and exception handling after changes.
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