Concepts in one minute
- Actual weight — scale reading
- Dimensional weight — volume translated into a billable weight using a divisor/factor in your contract or published tariff
- Billable weight — the greater of the rules that apply to your shipment
AI should always show both and label assumptions.
14-day right-sizing sprint
Days 1–2 — Baseline
- Pull top 20 SKUs by ship cost and by void complaints
- Measure product + current outer (do not trust old ERP dims)
- Note pack time and damage rate
Days 3–5 — Candidates
- Run prompts 1–3 & 7
- Produce 2–3 outers per SKU max
- Exclude candidates that break pack-time budget
Days 6–10 — Physical pilot
- Order stock sizes / sample packs
- Ship internal “victim orders” and a few friendly real orders
- Drop-test the scary ones
Days 11–14 — Decision
- Compare DIM$, damage, labor seconds, materials
- Lock winners into pack cards
- Retire zombie boxes
Void % without lying to yourself
Approximate product occupied volume, divide by outer volume, invert for void. High void is a smell test — not an automatic fail (some products need clearance). Use AI to propose clearance-justified void vs lazy void.
Guardrails
| Guard | Why |
|---|---|
| Damage ceiling | Prevents suicidal downsizing |
| Pack seconds max | Prevents unusable origami |
| Substitution rules | Stops packers inventing chaos when SKU stockouts |
| Photo QC | Proves the pilot happened |
Multipacks & attachments
Right-sizing singles can make multipacks worse if you never redesign nests. Include attach rates in the sprint or you will “win” January and lose the bundle promo in March.
What to hand finance
A one-pager: baseline billable weight mix, pilot delta, confidence notes, ask. Prompt 28 exists for this.
Related
Field measurement protocol
- Use the orientation you will actually ship (not the pretty shelf pose).
- Measure product extremes including protrusions, caps, hang-tabs.
- Add clearance needed for cushioning — do not pretend foam has zero thickness.
- Record weight with packaging if you are validating billable weight after pack.
- Photograph ruler-in-frame so arguments end quickly.
Feed those numbers to AI. Do not feed vibes.
Worked math (illustrative only)
Suppose outer 12×10×8 in = 960 in³. With a divisor assumption you provide of 166 (example only): dimensional weight ≈ 960/166 ≈ 5.78 → often rounded per carrier rules. If scale weight is 1.2 lb, billable posture is likely DIM-driven. Shrink to 10×8×6 = 480 in³ ≈ 2.89 DIM lb under the same assumption — still verify with your contract.
The lesson is sensitivity, not the divisor meme you saw once on LinkedIn.
Portfolio approach
Right-size the top SKUs that create most billable weight first. Long-tail SKUs can share a small set of compromise outers. AI helps cluster SKUs into “share this outer” groups — humans approve exceptions for fragile outliers.