
Industry Leader in Logistic Data, Information, and Supply Chain Trends
Our SolutionsBridgeNet Solutions Powered by Xonar, specializes in data analytics relative to transportation. Xonar is our cloud based data warehouse that enables real time analytics and benchmarking allowing companies to easily manage complex global supply chains.
Xonar’s capabilities span across all modes of transportation; Full Truckload, Less than Truckload, Ocean Freight, Air Freight, Intermodal, Parcel and Courier. BridgeNet’s clients rely on accurate data and modeling from Xonar to drive business decisions and outcomes.
Control and reduce costs through data analytics, market intelligence, and cutting-edge technology
Gain a complete understanding of your total supply chain expense
View your entire logistics network 24 hours a day from anywhere in the world
Monitor every shipment in your supply chain, regardless of mode or location
Benchmark entire modes and individual lanes
Make optimal network configurations based on best practices
Xonar, BridgeNet’s cloud based data warehouse that enables real time analytics and benchmarking allowing companies to easily manage complex global supply chains.
Categorize any given customer based on market vertical, geographical characteristics, or commodity makeup and to compare them to all similar customers in our database.
Initiate a best cost routing guide, analyze total expense to identify locations out of compliance, create an action plan, then institute operational changes to maximize compliance.
Improve your forecasting by breaking down your business spend by mode/region and view your spend year-over-year. This analysis will allow you to better predict your future spend.
Get insight into freight cost per unit shipped, outbound freight costs as a percentage of net sales, and a host of other metrics that will provide complete visibility into your business.
Utilizing machine learning and proprietary tools of big data aggregation, BridgeNet is able to run predictive models to assist with the forecasting across a large set of supply chain problems.
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