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TransVoyant announces Precise Predictive Logistics for supply chain

TransVoyant announced the availability of Precise Predictive Logistics (P2L), its supply chain-focused live and predictive big data analytics solution.

By tracking the real-time behavior and location of aircraft, ocean vessels, rail cars, trucks, ports, airports, routes and other supply chain nodes via the Internet of Things (IoT), TransVoyant’s P2L solution provides supply chain professionals with live status updates and predictions for shipments, orders and items.

“Supply chains that rely on latent status updates from legacy communication methods and networks, including EDI transmissions, are no longer competitive,” said Dennis Groseclose, CEO of TransVoyant.

“Latent status updates and poor predictability are forcing supply chain leaders to carry excess buffer stock, make bad inventory allocation decisions and preventing them from confidently promising inventory in-transit while quoting accurate delivery ETAs to customers.”

TransVoyant collects and analyzes the world’s largest repository of real-time big data; it processes over one trillion events a day.

This includes live tracking of all methods of shipping, along with the behavior within and around all nodes of the supply chain, to include the myriad external events that cause delays and impact shipment performance.

TransVoyant P2L is piloting estimated times of arrival on shipments for Brooks Running. Under the pilot Brooks is finding that P2L ETA’s are far more accurate than what the company had been receiving from its carriers and 3PLs. Most importantly P2L ETA’s are significantly more precise ten days from arrival.

This is particularly important to Brooks because it is the trigger the company would like to use to commit inventory in motion.

“Getting real-time status updates about the location of our ocean shipments and purchase orders will take our service excellence to the next level,” said Chase Mueller, Manager of Supply Chain Visibility at Brooks Running.

TransVoyant P2L comes with pre-configured integration to a number of supply chain planning and execution systems along with a library of proven real time and predictive insights to address supply chain and risk domains.

This enables its live and predictive insights to be seamlessly factored into optimal planning, re-planning and execution.

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