Overview
Product Information on Kinaxis Maestro Platform
What is Kinaxis Maestro Platform?
Kinaxis Maestro Platform Pricing
Overall experience with Kinaxis Maestro Platform
“Scenario-based framework accelerates planning but real-time data integration limited”
“Identifying inventory gaps works well, though deeper analysis is limited”
Key Insights
A Snapshot of What Matters - Based on Validated User Reviews
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About Company
Company Description
Kinaxis provides technology solutions for supply chain management, offering tools to help companies of all sizes make rapid, intelligent decisions to respond to changing business conditions. By blending AI with human intelligence and its patented concurrency technique, the company aids in orchestrating the multi-enterprise supply chain, from strategic planning to last-mile delivery. Kinaxis Maestro platform is an extensible, cloud-based platform, offering a suite of interconnected applications and algorithms built on a single data model and code base, with a single user interface. Applications span sales and operations planning, demand, supply, inventory, production, control tower, transportation, orders, spare parts, returns, and more.
Company Details
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Peer Discussions
Kinaxis Maestro Platform Reviews and Ratings
- Supply Chain Director10B+ USDManufacturingReview Source
Scenario-based framework accelerates planning but real-time data integration limited
The core software is a very strong platform. The scenario based framework (i.e. take a copy of your current state, make some changes, see the end to end effects and decide to scrap it or commit) is ideally suited to the types of decisions one makes in planning. While complex, the interface is intuitive. While we had some technical challenges with system performance early in the implementation, Kinaxis was supportive, and we were able to work out the issues in time. In the end, the users are using the tool, the speak highly of it, and we were able to ultimately deliver on our business objectives with the implementation. Adoption remains high almost two years after the initial deployment.
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