Improving transport network utilization with AI
Turn every gate event into actionable data. Loadzy Fillrate Vision measures how full trailers and containers really are—so planners can consolidate loads, right-size equipment, and cut avoidable miles.
From manual estimates to AI-measured & optimized
3–5% emissions reduction through fewer trips
$110k–$550k per site in transport costs
Driver app or fixed gate/CCTV images at arrival/departure
AI turns images into utilization metrics in the Loadzy platform
Spot consolidation opportunities and right-size vehicles
Load the trailer and capture images via a PDA or camera
AI instantly calculates fill rates and utilization
Data is available on an online platform in real-time
Planners use real data to optimize routes for maximum efficiency
Loadzy Fillrate Vision will redefine your approach to route planning and eliminate the need to rely on fill rate data based on eye measurements and gut feel. Take a look at just some of the benefits Loadzy Fillrate Vision brings to a medium sized terminal (30 gates):
| Efficiency Metric | Without Loadzy | With Loadzy | Improvement |
|---|---|---|---|
| Fill Rate Efficiency | Low (Manual estimates) | High (AI-optimized) | Maximizes Load Efficiency |
| CO2 Emissions | High (More trips due to inefficiency) | Reduced by 3-5% (Fewer trips, optimized routes) | Reduced environmental impact |
| Annual Cost Savings | Minimal (Potential for overpayment on transport) | $100-500K (From optimized loads and routes) | Significant financial savings |
Better utilization = fewer trips. Even small upticks in average fill lead to fewer runs and lower CO₂.
Removing just one under-utilized truck from a network making ~200 trips/year can eliminate 200+ metric tons of CO₂ while saving six-figure operating costs (driver, fuel, maintenance, depreciation). Potential carbon credits/offsets can improve the economics further.
Pilot Loadzy Fillrate Vision — powered by Sentispec on a target set of gates and lanes, validate utilization gains, then scale network-wide.
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