Cognite, a global leader in Industrial AI, announced the launch of its Integrated Supply Chain offering. This new solution area extends the Cognite AI and Data Platform beyond the plant, equipping industrial teams with real-time visibility, insights, and cross-functional context to finally bridge the long-standing data gap between production and supply chain operations. Unifying these siloed teams empowers organizations to respond faster and smarter to internal or external disruptions, execute adaptive pivots, and better protect margins.
The divide between production and supply chain operations has increased over time, as competing KPIs, organizational initiatives, and specialized software further fragment decision-making processes. As a result, any operational disruption can force costly, reactive firefighting, supply chain penalties, and production stalls, where slow decision-making can cost up to 5% of top-line revenue or over $50M annually for a $1B organization.
"Right now, manufacturers are trying to drive operational resilience and protect margin 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." said 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."
Cognite’s new Integrated Supply Chain offering bridges these information gaps. By unifying data from both inside and outside the facility into a real-time industrial knowledge graph, 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 finally have the right data at the right time to spot the issue early and collaborate on the solution.
