What challenges did Kinaxis face before AI implementation?

Fragmented supply chain data across multiple systems hampers decision-making Difficult to respond quickly and consistently to market disruptions and volatility Existing processes lack agility and struggle to integrate both internal and external data sources (e.g., weather, market signals) Limited ability to scale AI innovations due to infrastructure constraints

Source

MicrosoftLive sourceScaled productionEvidence: Low25/100

Kinaxis and Databricks Revolutionize Supply Chains

Use case typeSupply chain forecastingUpdated Jun 13, 2026

Kinaxis partnered with Databricks to unify supply chain data and enable smarter, more agile AI-driven decision-making. Their AI-driven Maestro platform integrates data sources to optimize operations and ensure supply chain stability.

Organization: Kinaxis
Industry: Manufacturing
Location: Canada
Published: April 2025

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Kinaxis
Provider: Microsoft
Maturity: Scaled Production
Linked source: AFP

, weather, market signals) Limited ability to scale AI innovations due to infrastructure constraints Integrated Kinaxis Maestro AI-native supply chain platform with Databricks Data Intelligence Platform Unified data from core systems, external sources, and operational inputs into a single governed data environment Embedded domain-specific AI for planning, execution, and decision-making throughout the supply chain Utilized Delta Sharing for secure, seamless cross-platform data sharing and real-ti

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 5

1Real-time supply chain disruption detection and response
2Predictive demand and supply forecasting using AI
3Automated scenario planning and simulation for supply chain optimization

Integrated Kinaxis Maestro AI-native supply chain platform with Databricks Data Intelligence Platform
Unified data from core systems, external sources, and operational inputs into a single governed data environment
Embedded domain-specific AI for planning, execution, and decision-making throughout the supply chain
Utilized Delta Sharing for secure, seamless cross-platform data sharing and real-time analytics

Technologies

Azure AI Azure Machine Learning Synapse Power BI

Implementation partners1

Databricks

Sources & evidence1

Evidence: Low25/100Evidence strength