# Dynamic Fuel Routing

*/Opportunities/Dynamic_Fuel_Routing*

## Opportunity Overview

**Wedge**: The initial beachhead targets long-haul refrigerated truckload carriers operating in the US Midwest. Refrigerated units burn secondary diesel for temperature control and suffer acute fuel cost volatility, yielding the fastest mathematical proof of savings. Expansion moves horizontally to dry van carriers, followed by adding dynamic toll routing and parking reservations to the core optimization engine.
**Timing**: Major fuel networks now expose live pricing APIs and ELD mandates ensure every commercial truck streams real-time location and hours-of-service data. Routing algorithms now ingest these high-frequency pricing and telemetry variables concurrently to solve complex traveling salesman problems instantly.
**Why This I C P**: Mid-sized irregular-route carriers operating 50 to 500 trucks run on tight 3 to 5 percent margins where diesel stands as the largest variable cost. They lack the engineering capital of mega-fleets to build in-house optimization logic and actively adopt off-the-shelf software to defend their margins.
**Size Of Prize**: ~3 million US Class 8 over-the-road commercial trucks × ~$400 annual optimization software spend per truck equates to a ~$1.2B addressable market.
**Gap Narrative**: Mid-market trucking fleets calculate fuel stops using static discount networks and driver intuition rather than dynamic mathematical optimization. They require a routing system that ingests live intra-day diesel prices, remaining driver hours, and live vehicle telemetry to calculate the absolute lowest-cost fueling sequence for every dispatched load.
**Defensibility**: Defensibility compounds through proprietary vehicle-level telemetry datasets. As the system routes thousands of trucks, it maps exact fuel consumption curves based on load weight, elevation, and driver behavior that generic routing algorithms cannot replicate. Deep bidirectional integrations into the fleet Transportation Management System and driver electronic logging devices create severe switching costs.
**Why This Thesis**: An autonomous routing agent maps perfectly to this problem because it removes computational burden from human dispatchers. The agent directly inserts mandatory, optimized fuel stops into the driver cab navigation unit, guaranteeing execution without requiring behavioral changes or dashboard monitoring from fleet managers.

## Opportunity Linked Thesis

**Thesis**: [Software](/Theses/Software)

## Opportunity Linked I C P

**Icp**: [Commercial Trucking Fleet](/CompanyTypes/Commercial_Trucking_Fleet)

## Opportunity Market Sizing

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**S A M**: ~$350M-600M US mid-to-large trucking fleets operating over 50 vehicles
**S O M**: ~$15M-45M realistic 3-year capture
**T A M**: ~3M US commercial long-haul trucks × ~$300-500/yr per truck routing subscription ≈ ~$900M-1.5B
**Growth Rate**: ~10-15%/yr, driven by unpredictable diesel pricing and fleet margin compression
**Paid Comparable Spend**: ~$20-40 per truck monthly spent on static mileage routing software, legacy telematics subscriptions, and manual dispatch labor

## Opportunity Incumbents

- [Trimble PC MILER](/Products/Trimble_PC_MILER) — Tool
- [Descartes Route Planner](/Products/Descartes_Route_Planner) — Tool
- [ProMiles Fuel Management](/Products/ProMiles_Fuel_Management) — Tool
- [Driver Stop Spreadsheets](/Products/Driver_Stop_Spreadsheets) — Spreadsheet
- [In House Dispatch](/Products/In_House_Dispatch) — Service
- [Manual Fuel Cards](/Products/Manual_Fuel_Cards) — DIY

## Opportunity Win Conditions

**Kill Thresholds**:
- Driver compliance rate on suggested stops < 60 percent after 30 days
- Net fuel savings < $100 per truck after 60 days
- Dispatcher manual override rate > 25 percent
- CAC > $2,500 per fleet with under 50 trucks
**Leading Metrics**:
- Driver compliance rate on recommended fuel stops
- Time-to-dispatch per load
- Net fuel savings per truck per week
- Manual override rate by dispatchers
**What Proves Right**: Fleets upload their daily dispatch sheets and immediately accept the fuel stop recommendations without overriding them. Dispatchers shift from manual spreadsheet planning to automated route approvals within the first two weeks of adoption. Customers willingly pay $40 per truck per month because the software demonstrably saves them more than $200 in fuel costs over the same period.
**What Proves Wrong**: Drivers consistently ignore the generated fuel stops because the recommended stations lack required amenities or truck parking. Dispatchers continue calculating routes manually alongside the software because they distrust the pricing API accuracy. Fuel savings fail to offset the subscription cost due to out-of-route mileage exceeding the discount gain.

## Opportunity Build Profile

**Hardest Part**: Modeling precise truck fuel consumption based on load weight and elevation changes while balancing out-of-route mileage costs against hyper-local fuel price arbitrage.
**Min Viable Scope**: Limit v1 to over-the-road dry van carriers running consistent interstate lanes using a single major fuel card provider. Ignore local delivery, refrigerated units, complex toll calculations, and real-time weather rerouting.
**Cold Start Problem**: Initial fuel consumption models lack empirical truck-specific data making early savings estimates unreliable. Overcome this by offering a historical audit tool that ingests past ELD and fuel card data to calibrate baseline models before initiating live routing.
**Time To First Value**: 1-2 weeks to ingest initial ELD history, calibrate the baseline MPG model, and dispatch the first optimized route.
**Data Moat Available**: true
**Technical Difficulty**: Moderate

## Neighborhood

### Surfaced from

- [Independent Owner-Operators](/CompanyTypes/Independent_Owner-Operators) — surfaces · CompanyTypes

### Incumbent in

- [Excel Fuel Logs](/Products/Excel_Fuel_Logs) — incumbent in · Products
- [Descartes RoutePlanner](/Products/Descartes_RoutePlanner) — incumbent in · Products
- [Trimble PC MILER](/Products/Trimble_PC_MILER) — incumbent in · Products
- [Driver Stop Spreadsheets](/Products/Driver_Stop_Spreadsheets) — incumbent in · Products
- [Manual Fuel Cards](/Products/Manual_Fuel_Cards) — incumbent in · Products
- [ProMiles Fuel Management](/Products/ProMiles_Fuel_Management) — incumbent in · Products
- [In House Dispatch](/Products/In_House_Dispatch) — incumbent in · Products
- [Trucker Path](/Products/Trucker_Path) — incumbent in · Products
- [Contract Dispatch Services](/Products/Contract_Dispatch_Services) — incumbent in · Products
- [Google Maps Navigation](/Products/Google_Maps_Navigation) — incumbent in · Products
- [Motive ELD Platform](/Products/Motive_ELD_Platform) — incumbent in · Products
- [PC Miler Routing](/Products/PC_Miler_Routing) — incumbent in · Products

### Applies thesis

- [Commercial Trucking Fleet](/CompanyTypes/Commercial_Trucking_Fleet) — applies thesis · CompanyTypes

### Embodies

- [Software](/Theses/Software) — embodies · Theses

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