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Use caseA use-case guide for E-commerce & D2C retail teams to apply to their own operation — not a specific customer story. The workflow and ContainerMath features shown are real; the figures illustrate what this use case typically targets rather than results measured from one account.
Lower DIMChargeable weight per parcel, not per guess
Per-SKU
Best box found on the numbers, not by eye
1
Reusable box library across every product
Fewer
Master cartons per inbound container
A use-case guide for online and direct-to-consumer brands: parcel carriers bill on dimensional weight, so an oversized box means paying to ship air on every order. This walks through using Carton Fit and the Carton Optimizer to find the smallest box that holds each product — lowering chargeable weight per unit and the master-carton count per inbound shipment.
The challenge
A growing online brand ships thousands of parcels a month, and every one is billed on the greater of its actual and dimensional weight. Boxes get picked by habit — a few 'safe' sizes that fit almost anything — so most orders ship with empty headroom the carrier charges for. On the inbound side, the same guesswork means master cartons that don't fill a container efficiently. Nobody has time to work out, product by product, which box is genuinely cheapest to ship. This guide shows the workflow that replaces the habit with a calculation.
Before vs. after
Before — manual & Excel
Box picked by habit
- 1
Pick from a few 'safe' box sizes
Packing chose from a handful of oversized boxes that fit almost anything, so most parcels shipped with empty space the carrier billed as dimensional weight.
- 2
Pay dimensional weight on air
Because the box drove the chargeable weight, light products in big boxes were billed far above their actual weight — on every single order.
- 3
Guess the master carton
How many retail units went into each shipper carton was estimated, so inbound cartons were rarely sized to fill a container cleanly.
- 4
Re-measure the same products
Product and carton dimensions were re-keyed per project, with no shared catalog, inviting the errors that throw off a fit.
- 5
Never compare box options
Choosing between two or three candidate box sizes was a gut call — the one with the lowest cost per unit was never actually computed.
After — ContainerMath
Box chosen on the numbers
- 1
Find units-per-box exactly
Carton Fit computes how many units fit each candidate box and how much space is left, so the right master-carton size is a number, not a guess.
- 2
Let the optimizer rank boxes
The Carton Optimizer ranks candidate box sizes for a product, surfacing the one with the lowest chargeable weight per unit.
- 3
Right-size the parcel
Matching the box to the product removes the empty headroom that inflates dimensional weight on every outbound order.
- 4
Reuse a shared box library
Products and box sizes are saved once and pulled into any calculation, ending the per-project re-measuring.
- 5
Feed the fit back to inbound
Right-sized master cartons pack more predictably into containers, so inbound freight is planned on real numbers too.
Inside ContainerMath: the parts they used
Carton Fit
Computes units per box and boxes needed for each candidate carton, showing the empty space that drives dimensional-weight cost.
Carton Optimizer
Ranks candidate box sizes for a product manifest so the lowest chargeable-weight option is picked on data, not habit.
Box Library
A reusable catalog of cartons and products, so dimensions are entered once and reused across every SKU and project.
Volume + weight tracking
Every plan shows volume utilization and weight together, making empty, chargeable headroom obvious before a box is chosen.
Exports & PDF stacking sheets
The chosen carton plan exports to a shareable sheet the packing team and the 3PL can both follow.
The results
- Each product's cheapest-to-ship box is found on the numbers, lowering dimensional weight per parcel.
- Right-sized master cartons reduce empty space in inbound containers.
- A shared box library ends the per-project re-measuring of products and cartons.
- Box choices are compared and ranked instead of picked by habit.
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