AI for Fuel Delivery | TMI Technology
Fuel Delivery

Eliminate emergency runs with a system that sees every tank in your network.

Fuel delivery companies run on predictable routes - but get burned by unpredictable runouts. A commercial customer calling at 6 AM because their equipment is dry costs triple what a planned delivery would have. Most companies know the problem and still run the same calendar-based schedule that creates it.

The Problem

Routes built on schedules, not tank levels - and emergency deliveries that eat the margin.

Fuel delivery profitability lives in route density and load efficiency. Both get destroyed when calendar scheduling drives more trucks more miles to deliver less fuel.

01

Emergency Delivery Costs

A runout call means one truck, one stop, and a partial load delivered at peak urgency. The fuel cost alone can eliminate the margin. Most carriers absorb this because the alternative - losing the customer - feels worse. The system that prevents the runout never gets built.

02

Inefficient Route Density

Calendar-based routes send trucks to half-empty tanks and skip full tanks. The result is more miles, less fuel moved per mile, and drivers spending time on stops that could have waited. Route optimization requires tank level data that most operators don't have.

03

Price Lock vs. Spot Rate Confusion

Customers on fixed-price contracts consume different volumes than projected. Without consumption tracking, carriers get caught delivering more gallons than the contract accounted for - and billing at a rate that no longer reflects actual cost.

What TMI Builds

Six systems. One operating layer.

Built for fuel distributors - tank monitoring, demand forecasting, route optimization, and contract billing accuracy all on one platform.

01

Tank Level Monitoring

Real-time or near-real-time tank data from connected gauges fed into dispatch. The system builds delivery queues by priority based on current level and historical consumption rate - not which customer called last.

02

Demand Forecasting

Consumption history by customer, adjusted for weather and operational patterns, generates a 7-day demand forecast. Drivers aren't sent to tanks with 60% remaining while a tank two stops away is at 12%.

03

Route Density Optimization

Daily routes built from actual delivery need rather than scheduled intervals. Trucks move more gallons per mile. The system sequences stops to maximize payload efficiency and minimize deadhead between deliveries.

04

Contract Consumption Tracking

Volume delivered tracked against contract terms by customer. When a customer approaches contract volume limits, the system flags it before the overage happens - giving time to renegotiate or adjust pricing before the margin is gone.

05

Delivery Verification

Gallons delivered captured at the meter and logged against the customer record. Discrepancies between order quantity and actual delivery flagged automatically. Invoice accuracy improves without anyone adding a reconciliation step.

06

Driver and Truck Performance

Gallons moved per shift, stops per route, and idle time tracked by driver and truck. The data identifies which routes are genuinely efficient and which ones just look busy - and surfaces the drivers who consistently perform above average.

3.8x
Higher cost per gallon to deliver on an emergency run vs. planned route
19%
Average route miles that could be eliminated with tank-level-based scheduling
1 in 4
Contract customers exceed projected volume in any given quarter
$0.04
Per gallon margin improvement when route density is optimized from data
Get Started

Build the operating system your fuel delivery business needs.

Start with The Audit. One session to map your workflows, find the highest-leverage problems, and build your plan.