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Kinaxis introduces AI-infused Maestro Platform for supply chain orchestration
Supply Chain Tech
Jun 18, 2024
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Supply Chain Tech

Supply Chain Tech

Jun 18, 2024

Kinaxis introduces AI-infused Maestro Platform for supply chain orchestration

Product updates

  • Kinaxis has launched Maestro, an AI-infused supply chain orchestration platform that provides transparency and agility across the entire supply chain from strategic planning to last-mile delivery. Maestro is an evolution of the company's flagship RapidResponse platform and incorporates new AI technologies.

  • Maestro comprises three layers: A supply chain data fabric connecting internal and external data sources into a single source of truth; an always-on intelligence engine delivering real-time insights, predictions, and adaptive solutions; and a seamless user interface for decision-making. It features capabilities like GenAI-powered intelligent assistants, smart modeling for future scenario prediction, and fusion of machine learning, heuristics, and optimization for problem-solving.

  • According to Kinaxis, Maestro enables seamless synchronization of data, people, and processes for unmatched agility, empowers teams with intuitive tools for enhanced efficiency, automates routine tasks with AI and predictive algorithms, and enables faster time-to-value by easily ingesting data from various sources.

  • Kinaxis is a leading provider of supply chain management solutions. The company offers cloud-based software that enhances decision-making and analysis across integrated business planning and digital supply chains. Its key product, RapidResponse, is known for its concurrent planning capabilities, integrating data from various sources to provide real-time insights and decision-making support.

  • Analyst QuickTake: Like startups, incumbents in the Supply Chain Tech space are introducing new solutions to remain competitive. In the supply chain planning space, companies like Manhattan Associates recently launched a new solution to foster a more collaborative approach to supply chain planning.

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