AI-Powered Dispatch Planning & Management

The Platform Where AI Runs the Numbers and You Run the Show

AI-Powered Dispatch Planning & Management

The Platform Where AI Runs the Numbers and You Run the Show

Agentic AI can help evaluate operations and improve human decisions, so your team stays in control, always.

The Winning Formula:
Human Expertise + AI + Real-Time Action


Traditional Systems of Record (legacy TMS, paper, spreadsheets) capture what already happened. They're built for backward-looking compliance, not forward-looking optimization. Without real-time data, they can't power intelligent decisions.

Standalone Agentic AI Decision Systems promise optimization improvements—but they usually fail in the dispatch office. Without real-time data from driver and dispatcher activities, and seamless integration into dispatch workflows, these systems struggle to translate intelligence into action. Manual overrides in the dispatch office eradicate the ROI that data scientists modeled in their back-tests. The optimization looks great on paper and when the CFO signs off, but it falls apart in reality.

Systems of Action with Embedded Intelligence win because they close the loop. They capture data from real operations, apply AI to generate intelligent recommendations, and enable dispatchers to execute decisions—all in one seamless platform. This creates a virtuous cycle: actions generate data, data informs decisions, and decisions drive better actions. This is where human expertise and machine intelligence truly collaborate.

Security and data integrity become critical as fleets rely on real-time decision systems. Frameworks such as SOC 2 Type II for TMS help ensure that the underlying platform maintains consistent controls around data access, system availability, and operational reliability as these decisions are executed at scale.

Comparing System Architectures
in Modern Fleet Operations


System Type
System Type
System of Record
System of Record

Decision Systems

Decision Systems

Systems of Action with Native Decision Intelligence
Systems of Action with Native Decision Intelligence
Examples
Examples

• Legacy TMS (McLeod, TMW, Truckmate, Axon, Innovative)

• ERP Systems
• Spreadsheets & Paper

• Legacy TMS (McLeod, TMW, Truckmate, Axon, Innovative)

• ERP Systems
• Spreadsheets & Paper

• Route Optimization (Roadnet, Descartes, Samsara, Nextbillion)

•  Decision Systems (Optimal Dynamics, Manhattan Associates, Optym)

• Route Optimization (Roadnet, Descartes, Samsara, Nextbillion)

•  Decision Systems (Optimal Dynamics, Manhattan Associates, Optym)

BeyondTrucks

BeyondTrucks

Core Function
Core Function

Record actions after they happen

Record actions after they happen

Recommend actions, but operate outside core dispatch and backoffice workflows

Recommend actions, but operate outside core dispatch and backoffice workflows

Unifies data, applies optimization, guides decisions, delivers actions —all in one platform

Unifies data, applies optimization, guides decisions, delivers actions —all in one platform

Real-Time Capability
Real-Time Capability

Struggle with real-time management

Struggle with real-time management

Recommendations lose value without seamless data & execution

Recommendations lose value without seamless data & execution

Native real-time data and decision execution

Native real-time data and decision execution

Integration
Integration

High cost and complexity

High cost and complexity

Manual handoffs between systems

Manual handoffs between systems

Unified platform no integration needed

Unified platform no integration needed

Dispatcher Control
Dispatcher Control

Full control, zero optimization

Full control, zero optimization

Manual overrides kill optimization ROI

Manual overrides kill optimization ROI

AI-powered recommendations with dispatcher input and final control

AI-powered recommendations with dispatcher input and final control

System Type

System Type

System of Record

Decision Systems

Decision Systems

Systems of Action with Native Decision Intelligence

Systems of Action with Native Decision Intelligence

Examples

Examples

• Legacy TMS (McLeod, TMW, Truckmate, Axon, Innovative)

• ERP Systems
• Spreadsheets & Paper

• Route Optimization (Roadnet, Descartes, Samsara, Nextbillion)

•  Decision Systems (Optimal Dynamics, Manhattan Associates, Optym)

BeyondTrucks

Core Function

Record actions after they happen

Recommend actions, but operate outside core dispatch and backoffice workflows

Unifies data, applies optimization, guides decisions, delivers actions —all in one platform

Real-Time Capability

Struggle with real-time management

Recommendations lose value without seamless data & execution

Native real-time data and decision execution

Integration

High cost and complexity

Manual handoffs between systems

Unified platform no integration needed

Dispatcher Control

Full control, zero optimization

Manual overrides kill optimization ROI

AI-powered recommendations with dispatcher input and final control

Comparing System Architectures
in Modern Fleet Operations


BeyondTrucks is a platform for AI-powered dispatch planning and management software built to help teams make better decisions and act with confidence. For organizations evaluating how these capabilities translate into real-world operations, reviewing the full product overview can provide additional clarity on how the platform supports dispatch, planning, and execution at scale.

These capabilities are part of a broader AI-native TMS platform designed to unify data, automate workflows, and enable real-time operational decisions across the entire fleet.

Still have questions?

System Type

System of Record

Decision Systems

Systems of Action with Native Decision Intelligence

Examples

• Legacy TMS (McLeod, TMW, Truckmate, Axon, Innovative)

• ERP Systems
• Spreadsheets & Paper

• Route Optimization (Roadnet, Descartes, Samsara, Nextbillion)

•  Decision Systems (Optimal Dynamics, Manhattan Associates, Optym)

BeyondTrucks

Core Function

Record actions after they happen

Recommend actions, but operate outside core dispatch and backoffice workflows

Unifies data, applies optimization, guides decisions, delivers actions —all in one platform

Real-Time Capability

Struggle with real-time management

Recommendations lose value without seamless data & execution

Native real-time data and decision execution

Integration

High cost and complexity

Manual handoffs between systems

Unified platform no integration needed

Dispatcher Control

Full control, zero optimization

Manual overrides kill optimization ROI

AI-powered recommendations with dispatcher input and final control