


In this report, the experts at DAT examine the key trends that defined 2022 and analyze the market forces that will shape 2023. Explore the different ways these forces impact the entire ecosystem of shippers, brokers, and carriers – because healthy supply chains and transportation networks require all hands on deck.
Forecasting is an inexact science, and the most successful forecasting models aren’t always the most complex. Successful forecasts are the ones that are the most consistent and trustworthy in their predictions, ones that help you eliminate uncertainty.

Peter Coratola Jr. founded EASE Logistics in a borrowed office after losing his job. Now, they’ve got hundreds of employees across the world. EASE Logistics grew its brokerage, in part, because of leadership that sought out beneficial partnerships. That’s where DAT Freight & Analytics came in.

Gain comprehensive market rate visibility for strategic sourcing, planning, and cost management with DAT iQ RateView Analytics solutions for shippers.

DAT iQ rate and network analytics solutions empower shippers with the reliable and actionable insights they need to manage both tactical and executive level transportation planning, evaluation, and optimization.

Designed for brokers who want a simple operations system.

This handy guide lays out the steps necessary to start a freight brokerage business.

Gain granular visibility into capacity for smarter sourcing and network management with DAT iQ Network Analytics solutions. Use insights to build a diverse and resilient carrier portfolio to navigate ever-changing market conditions.

See how carriers can use DAT RateView to check current rates across all lanes.

Benchmarking different aspects of operations is a well established practice across most businesses. Understanding how your company compares to similar organizations in terms of efficiency, delivered level of service, cost or other dimensions allows you to identify trouble spots and focus your managerial attention.

Predictive modeling is the art of using high-power computing to learn from the past and predict the future. Most of us use predictive models in our daily lives, but is not always obvious.