Improving Route Management with Advanced Analytics Powered by Graph Algorithms

Without efficient commodity shipping systems, online shopping can not gain its popularity today. By 2040, long-haul freight shipping by truck in the U.S. may reach 460 million miles per day. Nowadays, freight shipping companies are facing the challenge of fast-growing demands for short lead times and flexible delivery slots.

Many problems in route management are essentially graph problems. For example, searching the shortest path to the destination is one of the most commonly seen problems in route management. The problem can be described in graph by representing each stop as a vertex and using the edge to describe the reachability relationship between the stops. Many graph algorithms are also available for the shortest path problem.

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About TigerGraph

TigerGraph is the only scalable graph database for the enterprise. Based on the industry’s first Native and Parallel Graph technology, TigerGraph unleashes the power of interconnected data, offering organizations deeper insights and better outcomes. TigerGraph fulfills the true promise and benefits of the graph platform by tackling the toughest data challenges in real time, no matter how large or complex the dataset. TigerGraph’s proven technology supports applications such as fraud detection, customer 360, MDM, IoT, AI and machine learning to make sense of ever-changing big data, and is used by customers including Amgen, China Mobile, Intuit, Wish and Zillow, along with some of the world’s largest healthcare, entertainment and financial institutions. 

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TigerGraph is the only system today that can help us make real-time care-path recommendations using knowledge of 50 million patients. Your products will have worldwide impact on making everyone’s lives better in more ways than you can imagine.

 

Distinguished Engineer

Fortune 10 Healthcare Company