Operational telemetry on existing cameras. Agents covering yard, dock, floor, and queue. LPR, vehicle embeddings, dwell, utilization. Streamed into the YMS, TMS, WMS, and BI stack you already run.
01 / The throughput gap
Trucks sit at gates. Bays run empty. Queues stretch past service targets. Detention fees rack up.
The data to fix all of it is in the video every camera already captures. Nobody extracts it. Decisions get made on gut feel and last quarter's spreadsheet.
Avg. detention and layover fees per mid-size DC per year.
Avg. bay utilization at most DCs. A third of capacity goes unused while trucks wait outside.
Real-time visibility. Most YMS and TMS stacks run on driver self-reporting and manual gate logs.
Gate to dock to floor.
OPS 01
Every truck. Every stage. Every second it took.
LPR and vehicle embeddings captured at gate and dock cameras. Stitched into stage-level dwell times, bay utilization, and cycle metrics.
Five stages tracked: Gate-In (LPR capture) → Yard Dwell (vehicle tracking) → Dock-In (door assignment) → Dock-Out (load complete) → Gate-Out (LPR exit match, total turnaround logged).
LPR
Multi-region. >99% read rate.
Vehicle embeddings
Cross-camera re-ID. Occlusion tolerant.
OPS 02
Detention, empty dwell, turn-per-door economics.
Measures how long each dock door is occupied, empty, or in transition. Identifies the doors that are bottlenecks and the ones that are underused.
Verticals: Distribution, 3PL, retail DC.
OPS 03
Driver queues, guest wait times, service-time outliers.
Measures wait times at gates, drive-throughs, service counters. Flags when wait times exceed SLA targets. Identifies peak-hour patterns and staffing gaps.
Verticals: Gates, QSR, drive-through, service points.
OPS 04
Occupancy heatmaps. Capacity you didn't know you had.
Measures how every bay, aisle, and zone is actually used across shifts. Identifies dead space, congestion points, and scheduling opportunities.
Verticals: Warehousing, manufacturing, retail.
OPS 05
Coverage, peak-hour density, labor-to-throughput.
Measures staffing levels and density patterns across zones and shifts. Identifies when and where you're overstaffed, understaffed, or misallocated.
Verticals: Retail, DC, QSR, hospitality.
Integration
Event streams, aggregated metrics, and turnaround records are exported via REST, Kafka, webhooks, or scheduled CSV. Into the tools your ops team already runs.
Mantid doesn't replace your operational stack. It feeds it the data it's been missing.
Operations
BI & Analytics
Transports
Results from the field
STORY 04
National retail DC network. 8 sites.
Average yard dwell dropped by 41 minutes. $640K in detention fees recovered in year one.
“We knew trucks were sitting too long. We just couldn't prove where the time was going.”
VP Transportation
STORY 05
Regional 3PL. 14 sites.
Bay utilization went from 52% to 74% without adding a single dock door. The COO shelved a $4M expansion project after 90 days of Mantid data showed they had the capacity all along.
“That's the equivalent of building half a DC for free.”
COO
Avg. yard dwell reduction
Bay utilization lift
Detention recovered per DC year 1
Install to first dashboard
Same platform, two pillars
The Operations Suite runs on the same base station as the Safety Suite. 30-day pilot at one site. Base station ships pre-configured. First operational dashboards live within a week.