Kinexions 2025: Kinaxis Unveils Databricks Partnership

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Kinaxis and Databricks partner to unify supply chain data at Kinexions 2025 (Credit: Kinaxis)
Kinaxis and Databricks partner to unify supply chain data, accelerating AI adoption for real-time agility and resilience in global operations

Kinexions 2025 is in full swing in Austin, Texas, bringing together supply chain experts, industry leaders and innovators to explore the future of supply chain orchestration. 

Running from 31 March to 2 April, the event features discussions on the latest advancements in the industry, with Tuesday's agenda featuring voices from ExxonMobil, General Motors, Accenture, Pfizer and Microsoft sharing insights.

Among the key announcements, Kinaxis has revealed a partnership with Databricks, aiming to enhance intelligent supply chain decision-making. 

The collaboration seeks to integrate Kinaxis’ AI-native platform, Maestro, with Databricks’ data intelligence capabilities to improve agility, efficiency and resilience in global supply chains.

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An orchestration leader

Kinaxis specialises in supply chain orchestration, providing real-time insights to help companies manage complexity and unpredictability. Its platform, Maestro, is designed to offer end-to-end visibility, from strategic planning to last-mile execution. 

By joining forces with Databricks, Kinaxis is enhancing its ability to unify and analyse data, enabling businesses to make faster, smarter decisions.

Maestro integrates multiple data sources, including internal systems such as inventory and procurement, alongside external factors like weather patterns and market fluctuations. This consolidation within a single governed environment supports more dynamic and responsive supply chains. 

Andrew Bell, Chief Product Officer at Kinaxis, highlights the impact of this approach: “Global supply chain organisations are dealing with more data than ever, but it’s often fragmented across systems, making it difficult to act quickly or consistently.

Andrew Bell, Chief Product Officer at Kinaxis

“This partnership strengthens the data fabric that powers Maestro, accelerating our AI innovation agenda and enabling faster, smarter decisions at scale. Together, we’re giving businesses the ability to orchestrate their supply chains with the intelligence and speed today’s disruptions demand.”

Enhancing performance with scalable data intelligence

Maestro is built specifically for supply chain orchestration, embedding intelligence at every stage to optimise planning, execution and decision-making. 

Through Databricks’ Data Intelligence Platform and Delta Sharing framework, businesses can integrate their data once and apply it across multiple functions. This reduces inefficiencies, eliminates duplication and supports predictive, generative and autonomous AI at scale.

The platform already processes millions of simulations annually, helping businesses navigate supply chain volatility. 

With Databricks’ infrastructure, it can now manage even larger and more complex data environments while maintaining security and trust. Databricks provides enterprise-grade data controls, while Kinaxis ensures that AI-driven decisions remain explainable, auditable and transparent.

Shiv Trisal, Global Manufacturing, Transportation & Energy GTM Leader at Databricks

“Supply chain data is among the most complex and operationally critical in the enterprise, but it is critical to help organisations build data intelligence,” adds Shiv Trisal, Global Manufacturing, Transportation & Energy GTM Leader at Databricks. 

“By partnering with Kinaxis, we’re helping companies centralise data and shift from fragmented insights to real-time, intelligent actions that power their enterprise AI strategy.”

Turning insights into action

Modern supply chains require speed and adaptability. With Kinaxis and Databricks working together, organisations gain a shared intelligence layer that connects every aspect of their supply chain. This allows them to react swiftly to supply chain disruptions, whether it’s an unexpected demand surge, supplier delays or shifting market conditions.

Unlike traditional systems that require full dataset reprocessing, Maestro recalculates only what has changed. This approach delivers faster decision-making and clearer insights without unnecessary data processing overheads.

The result is a supply chain that is not only more efficient but also better equipped to handle rapid shifts in demand and supply.

Kinaxis and Databricks' partnership marks a step towards a more connected and intelligent supply chain ecosystem. 

By reducing fragmentation and embedding AI-driven insights into every stage of the supply chain, the companies are setting a new benchmark for how businesses can navigate complexity and uncertainty with confidence.


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