Cognite launched its Integrated Supply Chain offering, which extends the Cognite AI and Data Platform beyond the plant, equipping industrial teams with real-time visibility, insights, and cross-functional context to bridge the data gap between production and supply chain operations.
“Right now, manufacturers are trying to drive operational resilience and protect margins however they can. There’s a huge opportunity to drive efficiency by strengthening real-time, context-rich insights and communication between the carpeted and uncarpeted floors,” says Girish Rishi, CEO of Cognite. “Integrated Supply Chain is a natural extension of the Cognite AI and Data Platform that fills the critical data gap between traditional manufacturing systems and pure-play supply chain vendors. We are unlocking value with an integrated 'source, make, deliver' framework that empowers industrial heroes to take action before money burns.”
Key takeaways:
· Cognite equips teams across procurement, distribution, and plant operations with AI-driven insights into supply chain and production dynamics.
· Instead of discovering a shortage or a non-conformity at the end of a production run, for example, these teams have the right data at the right time to spot the issue early and collaborate on the solution.
- Productized connectors efficiently consolidates and contextualizes disparate planning systems, ERPs, execution solutions (WMS, TMS), external data insights, and cloud data lakes without disrupting core operations.
- Extended semantic data models, packaged and supported for supply chain, models seamlessly integrate directly with production and maintenance-centric data models.
- Packaged AI agents and workflows are grounded in operational context to evaluate live constraints across production, supply chain, logistics, and fulfillment. These new capabilities put data and insights instantly at operator fingertips and can, in many cases, reduce root-cause analysis timelines from weeks to minutes and allow for robust deployment of agentic-based adaptive planning.
