Supply Chain Analysis

Analyze Supply Chain Events in Real-time with TigerGraph

688 B
US expenditures on transportation
Retail inventory accuracy
Business Challenge
Traditional Solutions
Deep Link
AI and Machine Learning
Business Challenge
Global companies are managing multiple supply chains and they are dependent on those operations to not only deliver goods on time but to respond to divergent customer and supplier needs. With $688B spend on transportation and 3.5M trucks on the road, The difference between success and failure lies in the ability to reduce the risk of operational disruption, increase site reliability, improve supplier relationship management, and manage plant operations in a cost-effective manner. Supply chain success correlates with the business success: 79% of companies who outperform at supply chain also outperform in terms of revenue growth.
Traditional Solutions Are Missing the Mark
Many organizations have been able to gather most of the needed data, but their traditional analytic technologies are proving to be too slow, too expensive, and generally incapable of analyzing the massive volume of partner, route, transaction, and other data stored across various locations, formats, and protocols. Most of the traditional supply chain analytics solutions are built on relational databases.
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Real-time analysis of supply and demand changes requires expensive database joins across the tables with the data for suppliers, orders, products, locations and the Inventory for parts as well as sub-assemblies. Global supply chains have multiple manufacturing partners, requiring integration of the external data from partners with the internal data. Given their rigid schema, traditional supply chain analytics solutions based on the relational databases require significant time and effort to integrate external data into the supply chain analysis.
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Why TigerGraph, a Native Parallel Graph Database for Supply Chain Analysis?
Deep Link Supply Chain Analytics
Supply and delivery pipelines have dozens if not hundreds of stages, so the ability to analyze and understand the impact across many levels is essential. TigerGraph’s Deep Link Analytics powers advanced analysis and pattern recognition to identify product delays, shipment status, and other quality control and risk issues. Powerful event impact capabilities notify personnel when a relevant action has taken place and reveal the updated consequences down the chain, such as how a production slowdown impacts manufacturing, order fulfillment, pricing and revenue down the line.
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This fast, real-time insight allows them to optimize orders and shipping routes, and also quickly respond to changing demand patterns as events unfold. TigerGraph features high availability, system monitoring, and other enterprise readiness capabilities that ensure that real-time shipping status and other mission-critical information is always available.
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Real-time Supply Chain Analytics
TigerGraph delivers real-time visibility and analytics into key supply chain operations including order management, shipment status, and other logistics. Organizations can rapidly model their supply chain functions and business processes in real-time, through the use of a Native Parallel Graph, allowing propagation of demand and supply changes through the 10+ level deep value chain to calculate potential supply outages and create the recommendations for addressing those in a timely manner.
Improve Supply Chain Analytics with AI and Machine Learning
Traditional supply chain optimization approaches work very well for routine operations. Humans are still asked to make decisions when extraordinary disruptions occur. AI-assisted supply chain analytics can provide vital advice in such cases. TigerGraph generates new features for machine learning based on the analysis of as many as 10 or more levels in the supply chain. These graph computed features are fed into the machine learning solution as training data, improving the accuracy of the machine learning solution for the prediction of supply chain disruptions.
Getting started with TigerGraph