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Agent use case: Optimize E-commerce Packaging to Reduce Costs

Document v1 · published by Koskamo · updated 2026-10-18

Original source

Identify the most cost-effective box size for each order, reducing dimensional weight charges and void fill costs by up to 40%, leading to significant savings on packaging materials and shipping fees.

The agent analyzes the dimensions and weight of items in an e-commerce order. It queries the 3DPACK.ING API to find the optimal box size that minimizes wasted space. The agent then recommends the specific box SKU and calculates the potential savings on packaging and shipping. The user should verify that the recommended box is available in inventory.

Prompt: I have an order with three items: a laptop (35x25x3cm, 2kg), a mouse (10x8x3cm, 0.2kg), and a charger (15x10x5cm, 0.5kg). Find the smallest box size that fits all items securely to minimize packaging costs and dimensional weight charges.

Source and provenance

Original source
3dpack.ing
Published on Koskamo by
Koskamo
Citation version
Document v1
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