The Best Graph Algorithms to Solve Your Supply Chain Problems

Challenges in the supply chain industry?

The COVID pandemic disrupted entire supply chains, dramatically changing the way we work and travel, and how organizations deliver goods and products. Its effects continue to be felt globally.

These challenges may feel insurmountable. For almost two years, whole industries reduced operations. Some, like the travel industry, ceased altogether for that time. Certain markets continue to face shortages of critical materials or components. These challenges can also arise during other emergencies, like wars or natural disasters. They aren’t simply pandemic-related.

While these challenges are very real and apparent, they’ve also led to incredible innovation to increase efficiency, reducing the cost of moving goods and bypassing unnecessary steps. Graph technology sits at the heart of this innovation.

Supply chain improvements start with creating a digital twin of your data operations and supply chain. A graph-powered digital twin allows you to connect all internal and external data components into a digital network that models data lineage and dependency and then facilitates rapid root cause analysis to inform decisions.

In this meetup, we will help you learn and get started with TigerGraph by introducing you to graph analytics and machine learning on connected data.

What you will learn:

1. Introduction to graph analytics and machine learning on connected data
2. How to take your data analytics to the next level by using TigerGraph for:

• Supply chain optimisation
• Risk management with advanced analytics
• Powerful what-if scenarios

3. Design and model graph schema for supply chain
4. Apply machine learning relevant to the industry of supply chain

About the Speaker:

Ahlem serves as a technical solution engineer at TigerGraph. In addition to supporting customers adopt graph technology, she takes any opportunity to speak about technology, connecting data and graphs.

Ahlem is a graph evangelist and technology enthusiast with unique data and analytics expertise and hands-on building, coupled with cross-industry business acumen. She is an experienced Data & Analytics Architect, Engineer, and Consultant for Accenture and TigerGraph, and has worked with data of different sizes, shapes, and forms. She is very passionate about solving real-life large-scale business challenges by leveraging her data analytics skills and using emerging technologies like graph.