Air cargo alliance aids price optimisation
17 / 03 / 2022
By Rebecca Jeffrey
TAC Index has formed an industry first alliance with a provider of SaaS solutions that optimise shopping and selling experiences to give the latter’s customers greater, more accurate and timely visibility into market air cargo rates.
The alliance aims to help PROS customers optimise prices and maintain profit margins as the supply chain crisis continues.
TAC Freight data will feed into the PROS Platform, including PROS Smart Price Optimization and Management and PROS Smart Configure Price Quote, allowing customers to track air cargo price volatility and update prices across all channels to ensure their prices are optimised to maintain profit margin while remaining competitive.
“Accurate data regarding air cargo freight costs is invaluable to shippers in their strategic supply chain decisions,” said TAC Index managing director John Peyton Burnett. “We are thrilled to partner with PROS to directly deliver this intelligence to companies—from air cargo carriers to shippers to their customers, the manufacturers—so they can make agile business decisions quickly without sacrificing business priorities and objectives.”
PROS regional vice president of transportation and logistics Zeke Ziliak stated: “As the supply chain crisis persists, carriers, forwarders, and manufacturers that can leverage the greater visibility into market data by fuelling AI algorithms to optimise rates, especially in times of extreme market volatility, will be more agile and better able to manage prices proactively, supporting revenue optimisation and margin.
“We are excited to be the first in the industry to use these data via TAC Index to help our customers optimize air cargo rates and execute the best pricing strategies quickly and at scale.”
TAC Index publishes current general air cargo pricing indices globally. TAC also acts as the calculating agent for the BAI air cargo indices, and as a strategic partner with Spire Global for the live tracking of air cargo capacity utilisation data.