Supply Chain Optimization with Neo4j Graph Database and Agentic AI

Tuesday, September 9
9:00 a.m. IST | 11:30 a.m. SGT/HKT/CST | 12:30 p.m. JST | 1:30 p.m. AEST
30 Minutes

Disruptions, shortages, and logistics all play havoc with supply chain management. Your systems need to be able to understand, act, and adapt to deal with volatility. Static dashboards and fragmented data won’t cut it.

But a knowledge graph can help you embed Agentic AI that’s up to the job.

A knowledge graph models suppliers, products, routes, disruptions, and dependencies as a dynamic network. It gives you strong visibility into your supply chains to piece together a clearer picture of what’s going on.

Then, you can embed Agentic AI to become more proactive by rerouting shipments, identifying bottlenecks, or recommending alternate suppliers when volatility strikes.

Join us on September 9 for a 30-minute overview with interactive demos of how to build a more resilient, intelligent, and adaptive supply chain.

You’ll learn how to:

  • Model your supply chain knowledge graph
  • Integrate Agentic AI to answer complex questions with no queries required
  • Optimize supply chain route planning to drive real-time resiliency


SPEAKER

Pramod Borkar Image

Pramod Borkar
Senior Product Specialist, Neo4j

Pramod Borkar serves as a Senior Product Specialist at Neo4j. Before joining Neo4j, he held technical marketer and solution consultant roles at MongoDB, Okta, and Exabeam. He is passionate about understanding enterprise challenges and delivering effective solutions.

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