TigerGraph for Supply Chain

Supply chain management delivers higher business value and competitive advantage when it is extended to provide an integrated view of the entire value chain. Graph analytics is uniquely suited to be the foundation for a new breed of solutions that do just that.

The most ambitious and innovative companies in supply chains are adopting TigerGraph’s advanced analytics to augment existing supply chain management systems to achieve business outcomes:

  • Save tens - hundreds of millions in vendor contract penalties by forecasting parts inventory consumption and providing recommendations to shape the demand to consume the excess inventory.
  • Understand the impact of unexpected events such as Coronavirus and trade sanctions to figure out alternatives to deal with supply chain disruption 
  • Provide real-time analytics across all facets of the supply chain from strategic sourcing, demand planning, supply planning to procurement, manufacturing and warehouse operations.

Download the White Paper

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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
3 Twin Dolphin Drive, Suite 225
Redwood City, CA 94065

sales@tigergraph.com
www.tigergraph.com 

“It’s huge data (terabytes) and finding influencers in that data, it’s not easy, but TigerGraph has scaled for us."

Vishnu Maddileti 

Director of Data Sciences and Analytics at Amgen