Logistics & Warehousing

Warehouse Productivity, Measured from Video

Name: VidForgeX TMA
Author: VidForgeX

A WMS records when a pick was confirmed. It cannot see the walk to the location, the wait at a congested aisle, or the second trip because the tote was full. That unrecorded movement is where most warehouse labor time actually goes — and it is exactly what video captures. VidForgeX TMA turns footage of picking, packing, and dock operations into measured time data for the work your systems can't log.

Try VidForgeX TMA View Pricing

The labor your systems never see

Warehouse productivity programs run on scan data, and scan data has a blind spot with a name: everything between the scans. Travel to location, search at the pick face, congestion behind another picker's cart, tote swaps, rework at the pack bench — none of it produces a system event, all of it consumes paid time. Engineered labor standards try to model this movement; video measures it as it actually happened, worker by worker, aisle by aisle.

Process	What video measures	Decision it informs
Picking	Travel vs search vs pick vs handling time; congestion waits with locations	Slotting, batching, pick-path design
Pack stations	Per-order cycle distribution; carton and dunnage retrieval; rework loops	Station layout, materials presentation, staffing per lane
Dock — inbound	Unload, stage, and check durations per trailer; idle gaps between steps	Dock-to-stock time reduction, door scheduling
Dock — outbound	Load sequence and duration; wrap and securing steps verified against standard	Trailer turn time, load quality process adherence
Returns	Per-item processing time by disposition; grading sequence deviations	Returns cell design and process standardization

The dock study: a bounded, high-value starting point

Docks make a good first study because every camera already points at them and every process is bounded by a trailer's arrival and departure. Analyzing a week of inbound footage yields the elements of dock-to-stock: unload duration, staging dwell, check and putaway handoff — with idle gaps timestamped. The gaps are usually the finding: pallets staged and waiting are invisible in aggregate throughput numbers but obvious in the element data, and each one is reviewable on the recording it came from.

Peak-season staffing on measured cycles

Staffing models are only as good as the cycle times underneath them. Measuring pack cycles from video across a normal week gives the distribution — not the engineered standard, the observed reality, temporary-labor learning curves included. Reports export to Excel for the planning model, and the underlying analysis can be queried in plain language through AI chat: which stations ran slowest, when congestion peaked, what the longest cycles had in common.

Frequently Asked Questions

What warehouse processes can be analyzed from video?

Processes a camera can see end-to-end: pack station work, dock loading and unloading, receiving and putaway staging, kitting, returns processing, and aisle-level picking where existing CCTV covers the pick faces. Wide-area processes are studied zone by zone using the cameras already installed for security.

How does this complement WMS labor management data?

A WMS or LMS measures between scans — it knows a pick took 90 seconds but not what the 90 seconds contained. Video analysis decomposes that interval: travel, search at the location, the pick itself, tote handling, congestion waits. WMS data tells you which rates dropped; video tells you why.

Can it measure travel time separately from pick time?

Yes. Walking and material movement are classified separately from stationary task work, per person, with durations and timestamps. Since travel routinely accounts for half or more of picking labor, separating it is usually the first finding that matters — and the one that layout, slotting, and batching decisions act on.

Does it work with our existing CCTV?

Yes. Standard fixed-angle CCTV footage in common formats (MP4, AVI, MKV, MOV) uploads directly. Dock and pack-station cameras usually give the best coverage per camera. Multiple workers in frame are tracked individually, each with their own activity timeline.

Can it verify process adherence, like load securing or returns steps?

Yes — define the expected sequence as a Rule Template and the analysis flags deviations with timestamps: a skipped damage check at receiving, an unsecured pallet before wrapping, a returns grading step out of order. The report shows what happened against the standard; the footage settles disputes.