Vertical Space to Revenue: FlexiBox Boosts Picking 3x-9x
Modula's FlexiBox VLM transforms underutilized vertical space, storing "thousands and thousands of square foot of product" in a 120-180 sq ft footprint by reaching up to 63 ft. This "automation 101" solution for e-commerce and 3PLs delivers nine pre-sorted totes per presentation, boosting picking efficiency by 3x to 9x over traditional VLMs and significantly increasing revenue per square foot.
“We see this as a clear example of how systems design, even with "automation 101" solutions, can unlock massive P&L impact by optimizing existing infrastructure. Maximizing revenue per square foot by 3x to 9x directly reduces operational overhead.”

Modula's FlexiBox VLM transforms underutilized vertical space, storing "thousands and thousands of square foot of product" in a 120-180 sq ft footprint by reaching up to 63 ft. This "automation 101" solution for e-commerce and 3PLs delivers nine pre-sorted totes per presentation, boosting picking efficiency by 3x to 9x over traditional VLMs and significantly increasing revenue per square foot.
From the Source
"You're really allowing the building to pump out revenue for you without taking up that space... On this, you're getting nine nine totes completing a tray, and every tote's a pick. That's a huge efficiency gain."
— Modula’s Vertical Lift Modules, Modular Pallet Storage & the New FlexiBox for E-Commerce Picking
Key Takeaways
- 01Utilize vertical space up to 63 ft, storing "thousands and thousands" of sq ft of product in a 120-180 sq ft footprint.
- 02Implement "automation 101" with FlexiBox for high-density storage and "smart picking."
- 03Achieve 3x to 9x picking efficiency by delivering nine pre-sorted totes per presentation.
- 04Significantly increase throughput and revenue per square foot for e-commerce and 3PLs.
Watch the Source
Modula’s Vertical Lift Modules, Modular Pallet Storage & the New FlexiBox for E-Commerce Picking
Source
Modula’s Vertical Lift Modules, Modular Pallet Storage & the New FlexiBox for E-Commerce Picking
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Extracted and verified via Adversarial AI Pipeline
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