Why Warehouses Are Testing Wearables Instead of Full Automation

Why Warehouses Are Testing Wearables Instead of Full Automation

Warehouse operators are increasingly testing wearable devices as a way to improve picking accuracy and speed without committing to large-scale automation. The pressures behind the shift are familiar: rising customer expectations, more complex supply chains, and facilities that have grown too large for managers to track by eye.

Full automation remains out of reach for many operators. The article, written by ProGlove co-founder and Managing Director Konstantin Brunnbauer, argues that robotics and automated systems require significant upfront investment, long implementation timelines, and can be hard to integrate with existing warehouse software — a particular problem for small and midsize facilities.

The alternative, as ProGlove frames it, is to equip existing workers with wearable scanners and body-worn devices that capture data as work happens. Instead of stopping to use a handheld scanner, an employee can scan items while moving, which the company says reduces unnecessary motion, improves data accuracy, and gives managers a real-time view of congestion and bottlenecks across receiving, picking, and shipping.

ProGlove cites its own research in support of the approach: 60% of order pickers report health problems or work-related musculoskeletal disorders, while 42% of warehouse leaders list staff exhaustion, fatigue, or medical conditions among their biggest operational challenges. The article presents wearables as a response to both problems, though it contains no independent performance data.

What the ProGlove Pitch Does — and Doesn't — Prove

Why ProGlove Is Pitching Wearables as the Middle Path

The piece is a vendor contribution, and its argument is shaped by ProGlove's commercial interest: wearable scanning hardware sits between manual processes and full automation, which is exactly the budget zone where small and midsize warehouses can make a decision faster than they can fund a robotics rollout. The cost and integration barriers the article cites are real constraints in the market, even if the solution it promotes is predictably its own product.

The Numbers Point to an Ergonomics Problem, Not Just a Productivity Problem

The two statistics ProGlove highlights — 60% of pickers reporting musculoskeletal complaints and 42% of leaders citing exhaustion or medical conditions — come from the company's own research and should be read as vendor-generated. Even so, they are consistent with broader industry reports about physical strain in fulfillment work. That matters because it reframes the business case: wearable devices may pay off in reduced injury and turnover costs, not only in scans per hour.

What Warehouse Buyers Should Take From This

The core claim — that hands-free data capture reduces friction and improves visibility — is plausible for high-volume picking operations, but the article offers no measured results. Whether wearables deliver depends on how well they integrate with a facility's existing warehouse management system and whether workflows are redesigned around the new devices. Treat this as a trend signal, not a verified product benchmark.

Checking the Wearable Warehouse Sales Pitch

For warehouse operators evaluating wearable technology:

• Run a pilot in a single picking zone before committing to a facility-wide rollout; measure pick rate, steps taken, and scan accuracy before and after the trial.
• Confirm with the vendor that the device integrates with the warehouse management system already in use — the article identifies integration as a common barrier to adoption.
• Track ergonomic and fatigue indicators, such as reported musculoskeletal complaints or missed shifts, alongside throughput; the article's cited research links both to picking work.
• Treat the 60% and 42% figures as vendor-sponsored research and ask for third-party case studies or references from similar-size facilities before budgeting.