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Data Simulation & Back-Test

The Hidden Millions in Shipped Air

We pitted standard legacy WMS logic against the TCS-i packing module. The results exposed an enormous, untapped margin opportunity for global fulfillment networks.

Dataset: Historical Amazon Orders
Profile: Multi-Item (1-15 SKUs)
Objective: Volumetric Downsizing
31.4%
Corrugated Box Downgrades
Orders shifted to smaller box sizes
18.2%
Rigid to Flexible Conversions
Shifted from cardboard to polybags
+14.8%
Volumetric Efficiency Gain
Reduction in total shipped 'air'

The Silent Margin Killer

In high-volume e-commerce fulfillment, profitability is measured in millimeters. Dimensional (DIM) weight pricing from major carriers means that shipping empty space is just as expensive as shipping heavy products.

Despite this, the vast majority of modern fulfillment centers still rely on legacy Warehouse Management System (WMS) logic. Standard WMS treats packaging as simple "fluid volume buckets." It adds up the total volume of the items and assigns a box that has a larger internal capacity. It completely fails to account for physical boundaries, orientation constraints, or how items actually nest together. The result? Millions of dollars wasted annually on oversized corrugated boxes and carrier air-shipping penalties.

The Experiment Setup

We extracted a massive historical dataset representing typical multi-item Amazon orders (ranging from 1 to 15 items per order). We ran every single order through baseline WMS logic, and then ran the exact same dataset through the TCS-i packing module to prove the financial difference.

The Results: The Power of Downgrading

The financial impact of replacing legacy volume math with actual computational physics was immediate and drastic. The TCS-i engine didn't just pack boxes slightly better—it actively altered the structural profile of the client's outbound shipments.

Packaging Size Distribution (Orders)

Large Boxes
Legacy WMS
38%
TCS-i
14%
Medium Boxes
Legacy WMS
42%
TCS-i
31%
Small Boxes
Legacy WMS
20%
TCS-i
37%
Polybags
Legacy WMS
0%
TCS-i
18%

Systematic Box Downgrades

Because the TCS-i engine virtually rotates and nests items in 3D space prior to making a packaging decision, it repeatedly recognized that orders slated for large (M1) boxes could easily fit into small (S2) boxes. Overall, 31.4% of all orders were successfully downgraded to a smaller tier of corrugated packaging. This directly slashes raw material costs while eliminating carrier DIM penalties on the backend.

The Polybag Revelation

The most significant financial leap came from material conversion. Standard WMS logic struggles deeply with flexible packaging, often defaulting mixed-item orders to rigid boxes out of caution. By properly mapping the pliability and dimensional constraints of soft goods, the TCS-i module successfully pushed nearly 18% of orders out of corrugated boxes and into A4/A5 polybags.

Converting from a box to a polybag not only yields a massive drop in the cost of the packaging material itself, but polybags also experience minimal to no dimensional weight penalties in transit.

The Sustainability Bonus

Beyond pure ROI, optimizing box sizes at this scale has a profound environmental impact. By drastically reducing the footprint of corrugated cardboard purchased, and shrinking the overall volume of freight being moved by carrier trucks, fulfillment networks can significantly cut their Scope 3 carbon emissions without sacrificing operational speed.

The Bottom Line

The data is unequivocal. Treating fulfillment packaging as a basic volume calculation is an invisible tax on your entire operation. By layering the TCS-i packing module over existing WMS infrastructure, facilities can instantly stop shipping air, slash corrugated spend, and drive profound bottom-line profitability.

Stop Guessing.
Prove the ROI on Your Own Data.

Send us an export of your historical orders. Our engineering team will run your dataset through the TCS-i engine and return a custom report showing exactly how much you are overspending on materials and DIM weight today.

Request a Custom Back-Test

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