Leaf Logistics, a data-driven transportation platform, announced the launch of Leaf Adapt. Leaf Adapt offers large shippers a new way to plan their transportation needs with continuous transportation portfolio optimization based on changing business needs and market dynamics.
Leveraging the Leaf network of more than $21 billion in transportation data, Leaf Adapt uses machine-learning to continuously assess a shipper’s transportation needs by recognizing patterns of opportunities and risk to drive operational efficiencies. This allows shippers to build a more flexible transportation plan that better responds to constantly shifting market conditions.
“Our team spent decades in the industry creating annual transportation plans for large shippers, and we saw first-hand the shortcomings of that planning process when those shippers’ procurement needs changed due to market capacity constraints or changes in their order or manufacturing processes. We built Leaf Adapt to address this, providing a way for shippers to understand their changing transportation requirements and evolving market dynamics, so they can operate in the context of a larger transportation network,” said Silvia Knox, customer success at Leaf Logistics. “Adapt gives shippers a new way to plan in addition to the annual RFP, and it’s been a powerful tool for our shippers to better plan and schedule loads so they can avoid last-minute scrambles in the spot market, and prioritize service to their customers.”
The Leaf Logistics platform connects shippers, providers and partners to deliver the future transportation market-network. The Leaf platform provides all participants with new levels of transparency and the ability to do business with each other. Leaf technologies like the Leaf Adapt continuous optimization solution, and Leaf Flex committed contracts, allow users to engage in its network.
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