Scale

Network Management

Winning in today’s market takes more than speed and automation. It requires the right freight sourcing and procurement decisions made at the right time. Proactively secure the right freight for your network with Scale, the industry’s first Decision-Native Agentic System (DNAS)™.

Get Started

Network Manager interface showing a list of routes with target and available agent counts, including Houston to Memphis, Memphis to Chicago, and Memphis to Roanoke, with a green Launch Agents button.

Benefits for your Business

A table showing regions Houston, Memphis, and Atlanta with their status: Houston has a -3 deficit, Memphis a -2 deficit, and Atlanta a +2 surplus; Houston is selected with a green checkmark.

Identify Freight Network Imbalance

Unlike traditional, isolated agentic tools, Scale is built around a proven decision optimization engine that continuously understands a carrier’s network. It identifies where capacity is constrained, where imbalance is developing, and where additional freight is needed to improve utilization, service, and profitability.

Dashboard titled Procurement Agent Performance showing Ohio to Houston with 1 bid awarded, Indiana to Houston bid awarding in progress, and Atlanta to Houston search in progress.

Intelligent Agentic Freight Procurement

Scale deploys an always-on, autonomous agentic workforce that searches, bids, negotiates, and procures freight across load boards, email, EDI, and direct channels. The decision-native foundation determines which freight to accept or reject to keep the network balanced, commitments met, and profitability at the forefront.

Table listing drivers with match types: LRINALDI selected with 3 loads, ACOLLINS with 2 loads, and GVILLACIS with 4 loads.

Seamless Transition to Dispatch

Scale bridges the gap between planning and the front lines. Every procurement decision made by the agentic workforce is instantly aligned with your dispatch and load allocation decisions in Execute. This ensures that once network-aware freight is secured, optimal driver-to-load assignments are automatically executed.

Features & Functionality that Drive Success

Predictive network gap identification

Automated multi-channel procurement

Auto accept or reject network-aware freight

Redefined CSR and Sales productivity

Protected customer commitments

Seamless dispatch of secured freight

Driving Results That Matter

“What excites us most about Scale is the idea of an always-on agentic workforce that’s working for us across load boards, direct channels, and inbound requests at the same time. Instead of our team chasing opportunities manually, we expect Scale’s agents to aggregate freight from many places, act autonomously, and secure the loads that align with our network strategy without us having to intervene on every decision.”

Michael McGovern / Chief Operating Officer at Leonard’s Express

Case Study

Explore Our Solutions

One Intelligent Decision Engine. One Unified Platform From Planning to Execution.

Network management dashboard showing region details, inbound and outbound demand, status, and available loads with options to filter and view load manager and balance manager tabs.

Dispatch Management

Real-time automated dispatch decisions. Simply review and assign, and done. Complete a full day’s plan in minutes.

Learn More

Bid Analysis

Identify the best lanes to bid on specific to your network. Simulate the impact of each bid and quickly identify RFPs that provide optimal profitability, coverage and service.

Learn More

Network Simulation

Understand the impact of your organization’s most critical questions. Eliminate guesswork and manual calculations. Model scenarios in a digital twin before executing a single change.

Learn More

Request a Demo

Optimal Dynamics’ comprehensive Transportation Decision System (TDS) 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