TigerGraph graph databases save Land Rover's world and get them through the supply chain nightmare of Covid-19. Covering this and other use cases with Gaurav Desphande and Mike Matchett
tigergraph, graph, databases
Let's go back to March 2020 when we went through this entire journey with covid-19 pandemic, when everybody was caught staring like the deer, staring into the headlights. But, there were organizations that took steps ahead of that to get ready before it. I'll give you a specific example: Jaguar Land Rover, the luxury automotive manufacturer. They actually were well prepared for addressing this covid-19 pandemic. You could seamlessly ship before covid-19 across borders in Europe. Not true anymore, right? Countries shut down their borders. Suppliers shut down their factories, partially or completely, and your supply picture has suddenly changed. And in addition to that, your demand picture also changed. So Jaguar Land Rover realized that the discovery model in United States was going up, spiking up really in a big way. How do you deal with that? And how do you deal with scarce parts and inventory that's changing constantly that a previous supply and planning solution was based on a relational database and it used to take them three weeks to do the supply chain planning with before covid-19 they implemented TigerGraph for supply chain planning and that brought it down from three weeks to forty five minutes. Get the rest of the story on how graph databases from TigerGraph igot Land Rover through the pandemic and saved their world.