Google Cloud announced the launch of Supply Chain Twin, a purpose-built industry solution that lets companies build a digital twin--a virtual representation of their physical supply chain--by orchestrating data from disparate sources to get a more complete view of suppliers, inventories, and other information. In addition, the Supply Chain Pulse module, also announced, can be used with Supply Chain Twin to provide real-time dashboards, advanced analytics, alerts on critical issues, like potential disruptions, and collaboration in Google Workspace.
With Supply Chain Twin, companies can bring together data from multiple sources, all while requiring less partner integration time than traditional API-based integration. Some customers have seen a 95% reduction in analytics processing time, with times for some dropping from 2.5 hours down to eight minutes. Data types supported in Supply Chain Twin include:
- Enterprise business systems: Better understand operations by integrating information such as locations, products, orders, and inventory from ERPs and other internal systems.
- Supplier and partner systems: Gain a more holistic view across businesses by integrating data from suppliers, such as stock and inventory levels, and partners, such as material transportation status.
- Public sources: Understand your supply chain in the context of the broader environment by connecting contextual data from public sources, such as weather, risk, or sustainability-related data, including public datasets from Google.
Once customers are up-and-running on Supply Chain Twin, the Supply Chain Pulse module enables further visibility, simulations, and collaboration features:
- Real-time visibility and advanced analytics: Drill down into key operational metrics with executive performance dashboards that make it easier to view the status of the supply chain.
- Alert-driven event management and collaboration across teams: Set mobile alerts that trigger when key metrics reach user-defined thresholds and build shared workflows that allow users to quickly collaborate in Google Workspace to resolve issues.
- AI-driven optimization and simulation: Trigger AI-driven algorithm recommendations to suggest tactical responses to changing events, flag more complex issues to the user, and simulate the impact of hypothetical situations.