Traditional capacity procurement strategies are out – they aren’t enough anymore. Shippers are adopting a flexible approach, one that isn’t “one size fits all”, but quick, adaptable, and catered to their unique business needs. Agile procurement strategies are the newest tool in shipper’s toolboxes.
Get agile and ahead of the market with DAT iQ.
Now that these new procurement practices are integrated with real-time data analytics, shippers can outline strategies that align with their specific business objectives and tap into a wide array of options that allow for efficiency and customization in their operations.
The power of these strategies, however, relies on the ability to generate and act on the insights they provide – a tool is only as useful as the user. Freight market intelligence opens doors to visibility into market conditions, giving clarity to your organization’s performance. This is the door to actionable insights, helping shippers make informed decisions and seize network optimization opportunities.
With data-backed decision-making at the helm, shippers can navigate turbulent market cycles successfully. To be resilient in a complex and evolving market, you’ve got to hone in on agile supply chain management, flexible budgeting strategies, and a diversified portfolio approach.
DAT iQ guides shippers through the complex logistics landscape. Users gain adaptability, cost transparency, and resilience. With clear reporting and benchmarking tools, DAT iQ maintains and grows trust and strategic alignment at the C-suite level, empowering shippers to navigate market volatility confidently.
As the procurement landscape continues its swift evolution, shippers armed with real-time data analytics and agile strategies will find themselves better prepared to navigate the journey. Tools like DAT iQ not only equip shippers for today’s market dynamics but also help them anticipate what’s ahead. For a deeper dive into leveraging freight analytics to manage operational risks, explore our guide, “DAT iQ Playbook: Leveraging Freight Analytics and Benchmarking Data to Mitigate Operational Risks.“
