Digital twins constantly monitor logistics assets to look for emerging issues and immediately send alerts when needed.
Because digital twins track contextual information about each asset, they can provide deep introspection on status changes in real time.
With fast in-memory computing, data from digital twins is continuously aggregated to give managers the big picture as it evolves.
ScaleOut's in-memory computing platform can create digital twins for thousands of assets, enabling real-time analytics for large systems.
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McDonald's restaurants worldwide
Amazon packages delivered per day
Pallets stored in an average warehouse
A nationwide chain of retail outlets can use digital twins to boost situational awareness and quickly address operational issues. Each store in the chain can stream status messages to digital twins running in the ScaleOut Digital Twins service. Digital twins track each store’s assets and needs, sending alerts to operational managers when a problem arises, such as a shortfall of supplies or a service issue. For example, a pizza chain can inform management when it's short-staffed or low on critical ingredients.
The digital twins also feed information to aggregate analytics, letting managers assess the real-time performance of thousands of stores, identify stores that need attention, and find nearby stores that can help out. This groundbreaking technology helps managers optimize operations in real time better than ever before.