Five Ways to Reduce Freight Costs with Easier Data Analytics
Thursday, September 27, 2018 | 2PM ET
Transportation in the NewsPOLA and POLB post solid November volumes, despite moderation from October levels U.S. rail carload and intermodal volumes are up for week ending December 8, reports AAR First round of BUILD grants is overly positive for freight transportation infrastructure Amazon announces plans to build regional air hub at Fort Worth Alliance Airport Norfolk Southern announces plan to relocate corporate HQ to Atlanta More Transportation News
Transportation ResourceStrategies to Build Efficiencies into Your Supply Chain and Logistics Operations This white paper outlines key areas where third party logistics (3PLs), carriers, retailers and manufacturing companies can replace manual repetitive work within their operations with new and innovative robotic process automation technology solutions.
Thursday, September 27, 2018 2:00PM
Mike Levans, Group Editorial Director, Logistics Management
Adriano Viterbo, Analytics and Audit Program Manager, Logistyx Technologies
For most shippers, the challenge to reduce freight spend isn’t about setting up cost-saving programs – it’s about gaining visibility into shipping data to support their decisions. The task of gathering all carriers’ delivery data and normalizing was often too time-consuming and lacked real-time visibility. Until now.
Join us to learn the key ways in which transportation-focused data platforms are helping shippers more quickly identify savings, by providing:
- Flexible, transportation-focused analysis tools and pre-configured connections to carriers’ data portals for faster set up
- The same in-depth data insights as carriers have on freight, fuel and accessorial spend, for better negotiating power
- Easy data visualization and analysis tools to uncover cost-saving opportunities such as zone skipping and DC placement
- ‘What if’ tools that enable you to view cost and service implications of changing a carrier or service level across the country or in a specific region
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