AI video analytics for forklift and loading flow inside a 3PL distribution center

3PL and distribution center analytics

See where 3PL operations slow down

Turn existing camera feeds into dock-to-stock, trailer dwell, staging congestion, forklift utilization, and labor productivity metrics

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Start with the decision

Find where distribution flow falls behind

Describe the movement you need to measure and agree on the footage that defines each handoff

Distribution center camera view used to measure dock-to-stock flow, staging, and forklift movement

CAM 03 · INBOUND FLOOR

Loaded move matched

Live measurement

Measure dock-to-stock flow across every handoff

  1. 01Follow

    Match the same load from receiving through staging and put-away

  2. 02Classify

    Separate unloading, staging, travel, handling, and dwell

  3. 03Return

    Compare delay by dock, zone, carrier, shift, and event with footage

Measurement live on existing cameras

Decision-ready output

See where loads wait before put-away

Use the footage-backed result to adjust receiving coverage, staging space, dock schedules, or lane use

Fortune AI AgentWeekly distribution flow · Aug 10–16
Fortune AI 3PL distribution analytics report showing matched forklift trips, loaded moves, loading time, and supporting footage
Illustrative output · Sample footage24 matched trips, 18 loaded moves, and 3h 42m loading time with footage attachedAgentReportAPIMCP

What teams can measure

Operating metrics for 3PL and distribution centers

01

Dock-to-stock time

Arrival at the dock through receiving, staging, and put-away

02

Trailer and dock dwell

Time waiting before, during, and after loading or unloading

03

Staging congestion

Loads, pallets, and lanes that remain occupied across a shift

04

Warehouse labor productivity

Work, wait, travel, and completed movement by team and shift

Start with one distribution decision

See what your existing cameras can measure

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