Decision Automation Platform

Optimal Dynamics empowers truckload carriers and private fleets to make smarter, faster decisions across every level of operation. With a unified core engine, our platform drives optimal decision-making from strategic planning to real-time dispatch, while powering an unprecedented level of automation.

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A Single Decision Intelligence Engine

Unified Decisions Across the Planning Horizon

Our platform uses the same core engine to power decision automation across the planning horizon. With this unified approach, carriers experience compounding improvements across all decision layers.

Break down organizational barriers with a single platform that streamlines long-term planning and real-time execution decisions, keeping every decision aligned with your overall goals and evolving needs.

1 Month - 1 Year +

Strategic Planning

Build resilient operational plans months in advance with detailed simulations, network and fleet analysis, key metric tuning, and strategic alignment to ensure every decision supports long-term goals.

1-15 Days

Tactical Planning

Optimize logistics operations 2+ weeks into the future with proactive load planning, automated allocation, future visibility alerts, advanced load acceptance, and flexible capacity blending.

<24 Hours

Real-Time Decisions

Automate driver dispatching, load assignment, re-optimization, and adjustments, while efficiently managing exceptions. Ensure utilization and profitability is maximized network-wide.

Built On Highly Differentiated Technology

Next-Level Planning Demands Next-Gen Tools

Build Resilient Plans
Distributional Forecasting
Our machine learning-based forecasting model builds a distribution of outcomes to enable a more resilient decision in the face of significant variability and uncertainty. For example: Instead of saying “we will get 5 loads on Thursday”, Optimal Dynamics knows “we usually get 4-7 loads on Thursday, let's make the decision today to be able to cover all of these events.”
Understand Downstream Impact
Reinforcement Learning
Carriers often have to make dispatching decisions when only a part of their overall book of business is booked. Because of this, we have to make robust decisions today for an unknown future. Optimal Dynamics uses reinforcement learning to learn the value of drivers downstream to ensure we make the right decision for your network.
Incorporate Risk and Uncertainty
Stochastic Optimization
Freight planning is full of real-world unknowns that require sophisticated, stochastic modeling to manage. Our platform integrates demand forecasting and reinforcement learning to build an optimized and resilient network. Unlike deterministic modeling, true transformation requires a model that accounts for real-world uncertainty.
Solve Large Problems Efficiently
Approximate Dynamic Programming
We efficiently process exponentially large datasets while handling market uncertainty and data unknowns. As we increase the number of variables processed and decrease computational time, you gain faster, more comprehensive insights focused on profit and performance.

The Platform In Action

Unlock the Full Benefits of Decision Automation

Explore the Difference

With Automation

Optimized Decisions

Automate the best possible driver-to-load decisions to maximize utilization and revenue per truck.

Without Automation

Manual Decisions

Manual decisions focused on short-term profits, leading to missed opportunities and reactive planning.

With Automation

Streamlined Operations

Consolidate functions and reallocate resources as productivity improves through automation. Expand your network without linearly increasing headcount.

Without Automation

Inefficient Operations

Manually managing current business volume is straining resources and limiting scalability. Adding new business requires more headcount and complexity, leading to overstaffing and shrinking profit margins.

With Automation

Centralized Planning

Eliminate siloed regional planning to achieve network-wide efficiency, unlocking greater visibility and coordination across regions to optimize resources and respond dynamically to shifting demands.

Without Automation

Regionalized Planning

Regionalized planners constrained by arbitrary boundaries optimizing for their territories only.

With Automation

Consistent Dispatching

Mitigate turnover and improve overall performance by applying the same company-wide priorities and carrier parameters to all dispatch decisions.

Without Automation

Siloed Dispatching

Individual dispatchers applying their own talents, styles and “gut feel” approach to dispatching priorities, building risky siloed knowledge.

With Automation
Optimized Decisions
Automate the best possible driver-to-load decisions to maximize utilization and revenue per truck.
Without Automation
Manual Decisions
Manual decisions focused on short-term profits, leading to missed opportunities and reactive planning.
With Automation
Streamlined Operations
Consolidate functions and reallocate resources as productivity improves through automation. Expand your network without linearly increasing headcount.
Without Automation
Inefficient Operations
Manually managing current business volume is straining resources and limiting scalability. Adding new business requires more headcount and complexity, leading to overstaffing and shrinking profit margins.
With Automation
Centralized Planning
Eliminate siloed regional planning to achieve network-wide efficiency, unlocking greater visibility and coordination across regions to optimize resources and respond dynamically to shifting demands.
Without Automation
Regionalized Planning
Regionalized planners constrained by arbitrary boundaries optimizing for their territories only.
With Automation
Consistent Dispatching
Mitigate turnover and improve overall performance by applying the same company-wide priorities and carrier parameters to all dispatch decisions.
Without Automation
Siloed Dispatching
Individual dispatchers applying their own talents, styles and “gut feel” approach to dispatching priorities, building risky siloed knowledge.

The Optimal Dynamics Platform Difference

Powering L4-level automation that goes beyond existing solutions and enables you to start your automation journey.

L5: Full Automation

Description

At L5, automation achieves full autonomy of a role, handling complex decision-making and adapting seamlessly to changing conditions without human involvement. These systems manage entire processes from start to finish, requiring human input only for rare exceptions.

Trucking Example

A fully autonomous truck, capable of navigating all routes in all geographies, from dispatch to destination, with no human involvement.

L4: Conditional Automation

Description

L4 technologies, like the Optimal Dynamics platform, automate a large portion of a function by analyzing and responding to dynamic conditions, adapting to real-world complexities and executing decisions in real-time, with minimal need for human oversight. Optimal Dynamics' unique approach ensures a level of automation, resilience and precision unmatched by current Level 2 or Level 3 solutions.

Trucking Example

A platform that drives efficiency and scalability by fully automating network-wide planning decisions—from load acceptance to dispatch. Teams can shift focus to high-value tasks like driver and customer relationships, while the platform continuously re-optimizes.

L3: Partial Automation

Description

Covering a portion of a role’s responsibilities, L3 includes sophisticated algorithms capable of making contextually-aware decisions in stable environments. The system can handle more complex tasks, applying conditional logic and decision-making to improve efficiencies, but lacks the autonomy to manage the entire function. Human oversight remains necessary for high-level strategy or unique situations.

Trucking Example

A load assignment tool that prioritizes loads and assigns drivers based on availability and performance data, while dispatchers adjust for specific needs and high-priority loads.

L2: Assisted Automation

Description

L2 supports task augmentation within a specific area of a role, automating a small portion of its workflows. It goes beyond basic tasks, handling processes that require a bit more complexity. However, it is still task-driven and lacks the ability to manage an entire workflow independently, so human involvement remains essential to handle variability and uncertainty.

Trucking Example

A commitment management solution that tracks and benchmarks scheduled deliveries, load assignments, and driver availability against commitments.

L1: Basic Automation

Description

At L1, automation is primarily rule-based, executing simple, repetitive tasks within a specific role, making up a small percentage of the overall function. These systems follow predefined criteria and trigger responses based on static inputs. Limited in scope, they still require human intervention for exceptions or complex scenarios.

Trucking Example

A notification system that alerts dispatchers of delays but leaves rescheduling and driver communication to human operators.

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Decision automation helps enterprise trucking companies unlock a range of benefits, including increased revenue per truck, reduced time spent on manual and repetitive tasks, and holistic network optimization. It’s time to maximize your potential.

Get Started

Decision Automation Platform

Unified Decisions Across the Planning Horizon

Strategic Planning

Tactical Planning

Real-Time Decisions

Next-Level Planning Demands Next-Gen Tools

Distributional Forecasting

Reinforcement Learning

Stochastic Optimization

Approximate Dynamic Programming

Unlock the Full Benefits of Decision Automation