# Empty Mile Allocation

*/Problems/Empty_Mile_Allocation*

## Problem Overview

Fleet operators and dispatchers lose margin to empty miles, the unpaid distance trucks travel between a delivery drop-off and the next load pickup. Deadheading consumes fuel, driver hours, and vehicle wear without generating revenue. Carriers absorb these costs directly, lacking the dense freight networks required to guarantee continuous backhauls.

The problem persists because freight matching occurs across fragmented load boards and static routing software. Dispatchers manually search for return loads while calculating driver Hours of Service, facility wait times, and transit distances. By the time a viable reload is negotiated, the truck has often departed empty or the optimal load is taken.

Existing transportation management systems optimize for the outbound delivery but treat the return journey as a separate, reactive search process. They cannot predictively orchestrate continuous multi-stop triangulations across multiple freight brokers in real-time. Assets are repositioned blindly until localized market demand happens to align with the driver's exact geographic coordinates.

## Problem Severity Frequency

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

**Severity**: 4
**Frequency**: continuous
**Budget Reality**:
- **Price Ceiling**: ~$15k-30k/yr for a mid-sized fleet — software spend is anchored to existing load board subscriptions and TMS seats, not a percentage of fuel savings
- **Who Controls Spend**: Fleet Owner or VP of Operations approves; Dispatch Manager recommends
- **Existing Budget Line**: true
- **Switching Cost From Status Quo**: moderate to high: requires integration with existing TMS and ELD systems for real-time asset coordinates and Hours of Service compliance, plus retraining dispatchers to trust automated backhaul routing
**Regulatory Risk**: moderate
**Time Cost Per Event**: ~1-2 hours of manual load board searching and broker negotiation per drop-off
**Money Cost Per Event**: ~$150-300 in wasted fuel, wear, and driver time per deadhead segment
**Annual Cost Per Affected Entity**: ~$200k-500k in uncompensated operating costs for a typical mid-sized carrier

## Problem Why Now

Carrier operating costs hit record highs recently, exceeding $2.25 per mile (per ATRI 2023 data), erasing the financial buffer that previously allowed fleets to absorb deadhead runs. Simultaneously, a sustained soft freight market forces carriers to bid lower on outbound lanes just to win volume. Fleet operators can no longer treat empty miles as a standard operational cost; securing continuous backhaul revenue is now a strict survival requirement.

Prior attempts to automate backhaul matching failed because freight data remains trapped in unstructured broker emails, disjointed EDI feeds, and siloed load boards. Three years ago, unifying these fragmented sources required brittle, expensive point-to-point software integrations. Today, large language models instantly extract load details, facility requirements, and spot pricing from unstructured text, converting disparate broker communications into standardized, routable data.

Legacy Transportation Management Systems treat the return journey as a reactive, manual search process initiated only after the outbound delivery completes. They lack the compute architecture to triangulate multi-stop routes while factoring in live Electronic Logging Device (ELD) telemetry and driver Hours of Service constraints. Current graph-based optimization solvers calculate these multidimensional variables in milliseconds, allowing platforms to secure the optimal return load before the truck ever leaves the origin dock.

## Problem Current Solutions

**Status Quo**: Dispatchers manually monitor multiple load boards and negotiate with freight brokers over the phone to find return loads for drivers finishing a delivery. When a backhaul is not immediately secured, the carrier directs the driver to deadhead toward the nearest major freight hub to increase the chances of finding a load.
**Workarounds**:
- continuous manual load board refreshing
- calling familiar brokers for unposted freight
- blind deadheading to major freight hubs
- accepting loss-leader backhauls to cover fuel
**Named Tools In Use**:
- [DAT One](/Products/DAT_One)
- [Truckstop Load Board](/Products/Truckstop_Load_Board)
- [McLeod LoadMaster](/Products/McLeod_LoadMaster)
- [Trimble TMW](/Products/Trimble_TMW)
- [Motive ELD](/Products/Motive_ELD)
**Why Insufficient**: Current transportation management systems and load boards optimize freight one leg at a time and rely on reactive manual searches. They lack the capacity to predictively orchestrate continuous multi-stop triangulations across fragmented broker networks in real-time before the asset departs.

## Problem Market Profile

**Incumbents**:
- [DAT One](/Problems/Empty_Mile_Allocation/Competitors/DAT_One)
- [Truckstop](/Problems/Empty_Mile_Allocation/Competitors/Truckstop)
- [McLeod LoadMaster](/Problems/Empty_Mile_Allocation/Competitors/McLeod_LoadMaster)
- [Trimble TMW](/Problems/Empty_Mile_Allocation/Competitors/Trimble_TMW)
- [Motive ELD](/Problems/Empty_Mile_Allocation/Competitors/Motive_ELD)
- [C.H. Robinson Navisphere](/Problems/Empty_Mile_Allocation/Competitors/C.H._Robinson_Navisphere)
**Substitutes**:
- Continuous manual load board refreshing
- Calling familiar brokers for unposted freight
- Blind deadheading to major freight hubs
- Accepting loss-leader backhauls to cover fuel
**Position Axes**:
- Single-leg discrete matching vs. Continuous multi-stop triangulation
- Manual reactive search vs. Predictive automated orchestration
**Market Dynamics**: Fragmented load boards are slowly consolidating into broader TMS and ELD platforms via API integration, while predictive AI attempts to re-bundle disparate broker networks into unified, continuous freight systems.
**Competition Concentration**: Established load boards and legacy TMS platforms concentrate heavily in the quadrant defined by single-leg discrete matching and manual reactive search, treating outbound and return journeys as separate events. Substitutes like cold-calling brokers and blind deadheading to freight hubs also reside entirely within this manual, single-leg space. The opposite quadrant, characterized by predictive automated orchestration and continuous multi-stop triangulation, is sparsely occupied and lacks incumbent dominance.

## Mint Vocabulary Bag

**Action Verbs**:
- reposition
- bridge
- reroute
- rebalance
- pivot
- match
**Gerund Stems**:
- match
- relay
- route
- transit
- pivot
- bridge
**Abstract Nouns**:
- slack
- variance
- density
- dwell
- surplus
- velocity
**Concrete Nouns**:
- trailer
- chassis
- bobtail
- tractor
- flatbed
**Metaphor Nouns**:
- pendulum
- orbit
- circuit
- vector
- relay
- pulse
**Structure Nouns**:
- depot
- terminal
- berth
- lane
- dock
- yard

## Problem Candidate Solutions

- [Terminal](/Problems/Empty_Mile_Allocation/Startups/Terminal) — Agent
- [Shaperange](/Problems/Empty_Mile_Allocation/Startups/Shaperange) — Service-as-Software
- [Tractorsurge](/Problems/Empty_Mile_Allocation/Startups/Tractorsurge) — Software
- [Domainreserve](/Problems/Empty_Mile_Allocation/Startups/Domainreserve) — Agent
- [Abandonment](/Problems/Empty_Mile_Allocation/Startups/Abandonment) — Software
- [Stemhue](/Problems/Empty_Mile_Allocation/Startups/Stemhue) — Service-as-Software

## Problem Solution Space2x2

```mermaid
quadrantChart
x-axis "Static Pre-Planning" --> "Dynamic Real-Time Matching"
y-axis "Internal Fleet Optimization" --> "Cross-Fleet Syndication"
Terminal: [0.9, 0.8]
Shaperange: [0.2, 0.3]
Tractorsurge: [0.7, 0.6]
Domainreserve: [0.8, 0.2]
Abandonment: [0.1, 0.1]
Stemhue: [0.5, 0.9]
```

## Problem Affected Roles

- Fleet Dispatcher — Logistics
- Fleet Operator — Carrier
- Owner-Operator — Driver
- Freight Broker — 3PL
- Logistics Coordinator — Operations
- Capacity Manager — Carrier
- Routing Analyst — Planning
- Transportation Manager — Logistics

## Problem Affected Companies

- Long-Haul Trucking Carriers — OTR Fleets
- Independent Owner-Operators — Single Truck Operations
- Private Enterprise Fleets — Retail And Manufacturing
- Third-Party Logistics Providers — Freight Brokers
- Refrigerated Transport Fleets — Temperature Controlled
- Flatbed Freight Carriers — Specialized Equipment
- Dedicated Contract Carriers — Fixed Route Operations

## Problem Affected Processes

- Backhaul Planning — Load Matching
- Continuous Move Routing — Route Optimization
- Asset Repositioning — Fleet Management
- Spot Market Bidding — Freight Brokerage
- Lane Profitability Analysis — Financial Operations
- Driver Schedule Management — HoS Compliance
- Capacity Allocation — Asset Utilization

## Problem Matching Opportunities

- Autonomous Broker Backhaul Matching — AI Brokerage Agent
- Predictive Carrier Repositioning — Predictive SaaS
- Algorithmic Port Drayage Routing — Optimization Engine
- Dynamic LTL Deadhead Allocation — AI Copilot
- Automated 3PL Mile Scrubbing — Analytics Platform

## Problem Token Hero

**Genre**: problem-hero
**Rendered**: Fleet operators and dispatchers lose margin to empty miles, the unpaid distance trucks travel between a delivery drop-off and the next load pickup.
**Mechanism**: overview-derived-v1
**Template Id**: problem-overview-derived
**Vocab Fingerprint**: 8c27422d0f2a8cc6

## Neighborhood

### Related (entails child problem)

- [Fuel Surcharge Leakage](/Problems/Fuel_Surcharge_Leakage) — entails child problem · Problems
- [Freight Emissions Calculation](/Problems/Freight_Emissions_Calculation) — entails child problem · Problems

### Competitors

- [C.H. Robinson Navisphere](/Competitors/C.H._Robinson_Navisphere) — competes with · Competitors
- [Truckstop](/Competitors/Truckstop) — competes with · Competitors
- [Trimble TMW](/Competitors/Trimble_TMW) — competes with · Competitors
- [Motive ELD](/Competitors/Motive_ELD) — competes with · Competitors
- [McLeod LoadMaster](/Competitors/McLeod_LoadMaster) — competes with · Competitors
- [DAT One](/Competitors/DAT_One) — competes with · Competitors

### What it's used for

- [Truckstop Load Board](/Products/Truckstop_Load_Board) — used for · Products
- [DAT One](/Products/DAT_One) — used for · Products
- [McLeod LoadMaster](/Products/McLeod_LoadMaster) — used for · Products
- [Motive ELD](/Products/Motive_ELD) — used for · Products
- [Trimble TMW](/Products/Trimble_TMW) — used for · Products

### Solves problem

- [Domainreserve](/Startups/Domainreserve) — candidate solution for · Startups
- [Abandonment](/Startups/Abandonment) — candidate solution for · Startups
- [Tractorsurge](/Startups/Tractorsurge) — candidate solution for · Startups
- [Terminal](/Startups/Terminal) — candidate solution for · Startups
- [Stemhue](/Startups/Stemhue) — candidate solution for · Startups
- [Shaperange](/Startups/Shaperange) — candidate solution for · Startups

### Entails child problem

- [Asset Repositioning](/Problems/Asset_Repositioning) — entails child problem · Problems
- [Backhaul Load Negotiation](/Problems/Backhaul_Load_Negotiation) — entails child problem · Problems
- [Broker Network Aggregation](/Problems/Broker_Network_Aggregation) — entails child problem · Problems
- [Continuous Journey Assembly](/Problems/Continuous_Journey_Assembly) — entails child problem · Problems
- [Pre-Arrival Capacity Prediction](/Problems/Pre-Arrival_Capacity_Prediction) — entails child problem · Problems
- [Tour Triangulation](/Problems/Tour_Triangulation) — entails child problem · Problems

### Similar Problems

- [Empty Mile Reduction](/Problems/Empty_Mile_Reduction) — similar · Problems
- [Empty Mile Reduction](/Occupations/Transportation_and_Material_Moving_Occupations/Problems/Empty_Mile_Reduction) — similar · Problems
- [Deadhead Mileage Waste](/Industries/Freight_Trucking/Problems/Deadhead_Mileage_Waste) — similar · Problems
- [Minimize Empty Backhaul Miles](/Industries/Transportation_and_Warehousing/Problems/Minimize_Empty_Backhaul_Miles) — similar · Problems
- [losing loads to misrouted dispatches](/Problems/losing_loads_to_misrouted_dispatches) — similar · Problems
- [Maximize Fleet Asset Utilization](/Problems/Maximize_Fleet_Asset_Utilization) — similar · Problems
- [dispatching loads from a whiteboard that was wrong an hour ago](/Problems/dispatching_loads_from_a_whiteboard_that_was_wrong_an_hour_ago) — similar · Problems
- [Spot Freight Bidding](/Occupations/Transportation_and_Material_Moving_Occupations/Problems/Spot_Freight_Bidding) — similar · Problems
- [Spot Freight Negotiation](/Industries/General_Freight_Trucking/Problems/Spot_Freight_Negotiation) — similar · Problems
- [Broker Routing Inefficiencies](/Problems/Broker_Routing_Inefficiencies) — similar · Problems
- [Suboptimal Fuel Routing](/CompanyTypes/Independent_Owner-Operators/Problems/Suboptimal_Fuel_Routing) — similar · Problems
- [Matching Loads To Available Carriers](/CompanyTypes/Freight_Brokerage/Problems/Matching_Loads_To_Available_Carriers) — similar · Problems
- [Optimize Dispatch And Routing](/Problems/Optimize_Dispatch_And_Routing) — similar · Problems
- [Dynamic Route Planning](/Problems/Dynamic_Route_Planning) — similar · Problems
- [Route Preference Matching](/Problems/Route_Preference_Matching) — similar · Problems
- [Retain CDL Fleet Drivers](/Problems/Retain_CDL_Fleet_Drivers) — similar · Problems
- [Route Outbound Freight Shipments](/Problems/Route_Outbound_Freight_Shipments) — similar · Problems
- [Broker Margin Cannibalization](/Problems/Broker_Margin_Cannibalization) — similar · Problems

### Similar Metrics

- [Carrier Capacity Utilization](/Metrics/Carrier_Capacity_Utilization) — similar · Metrics