Optimising Packaging Costs with Data Science & AI
Packaging company · UK
The Challenge
The client had been using fixed packaging sizes for years — a standard set of box dimensions applied regardless of what was being shipped. This meant products were frequently over-packaged, leading to wasted materials, higher shipping costs due to volumetric weight charges, and unnecessary labour in handling oversized parcels.
What TechEnable Did
We built a data science model that calculates optimal packaging sizes based on the actual dimensions and characteristics of what's being shipped. We modelled the full cost picture: material costs for different box sizes, transportation costs (including volumetric pricing tiers), and the labour impact of handling different packaging configurations.
The Outcome
The client moved from a fixed-size approach to dynamic, data-driven packaging decisions. The model reduced material waste, lowered transportation costs, and surfaced patterns the client hadn't seen before — which product lines were most over-packaged, which shipping routes were most cost-sensitive.
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