Google Supply Chain Twin

 Google seems to be playing this direction actively.

Google launches ‘digital twin’ tool for logistics and manufacturing

Kyle Wiggers @Kyle_L_Wiggers  in Venturebeat

September 14, 2021 1:30 A

Google today announced Supply Chain Twin, a new Google Cloud solution that lets companies build a digital twin — a representation of their physical supply chain — by organizing data to get a more complete view of suppliers, inventories, and events like weather. Arriving alongside Supply Chain Twin is the Supply Chain Pulse module, which can be used with Supply Chain Twin to provide dashboards, analytics, alerts, and collaboration in Google Workspace.

The majority of companies don’t have visibility of their supply chains, resulting in “stock outs” at retailers and aging inventory at manufacturers. In 2020, out-of-stock items alone cost an estimated $1.14 trillion. The past year and a half of supply chain disruptions has further shown the need for insights into operations to dynamically adjust fleet routes and inventory levels.

With Supply Chain Twin, companies can bring together data from multiple sources by enabling views of the datasets to be shared with suppliers and partners. The solution supports enterprise business systems that contain an organization’s locations, products, orders, and inventory operations data as well as data from suppliers and partners such as stock and inventory levels and material transportation status. Supply Chain Twin also draws from public sources of contextual data such as weather, risk, and sustainability.

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“Digital twin” approaches to simulation have gained currency in other domains. For instance, London-based SenSat helps clients in construction, mining, energy, and other industries create models of locations for projects they’re working on. GE offers technology that allows companies to model digital twins of actual machines and closely track performance. And Microsoft provides Azure Digital Twins and Project Bonsai, which model the relationships and interactions between people, places, and devices in simulated environments. ....  '