Snap-on cut shipping cost by letting AI choose the carton before packing

Parcel shipping punishes bad geometry. A too-large box consumes corrugated, takes packing time, may trigger dimensional weight, and ships paid-for air. Snap-on's Crystal Lake distribution center attacked that small repeated decision.

Supply Chain Xchange reported that Snap-on Tools and FastFetch won the 2019 Supply Chain Innovation Award for using AI to reduce shipping costs. The article says the project minimized wasted space in shipping cartons and paired that with new logistics processes.

SupplyChainBrain's FastFetch case describes Intellipack as using artificial intelligence to compute the right-sized boxes for specific orders at minimal cost. It reported shipping-cost cuts of 10% to 30%, packing-labor reduction of 30%, and less corrugated material use.

The move is neat because it turns packaging from a pack-station habit into an optimization problem. The box is chosen by total landed behavior, not by what looks close enough.

Optimize the empty air

Carton choice happens late, but it determines material, labor and freight cost together.

The system gave packers a computed answer instead of relying on individual judgment under speed pressure.

Reducing empty space saved both shipping charges and corrugated material, so cost and waste moved in the same direction.

In parcel logistics, the cheapest package is a geometry decision. Make that decision with order data before labor and freight charges lock it in.

The project won CSCMP's 2019 Supply Chain Innovation Award. Supply Chain Xchange reported that Snap-on cut shipping costs by more than 11% and packing labor by 30% at Crystal Lake; SupplyChainBrain described a broader 10% to 30% shipping-cost reduction range and an ROI payback period of several months for Intellipack.