List of Praxie AI Production Scheduling Software Customers
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Since 2010, our global team of researchers has been studying Praxie AI Production Scheduling Software customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Praxie AI Production Scheduling Software for Advanced Planning and Scheduling from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Praxie AI Production Scheduling Software for Advanced Planning and Scheduling include: PepsiCo, a United States based Consumer Packaged Goods organisation with 319000 employees and revenues of $91.85 billion, Airbus, a France based Aerospace and Defense organisation with 56000 employees and revenues of $33.95 billion, Lenovo United States, a United States based Manufacturing organisation with 12000 employees and revenues of $18.00 billion and many others.
Contact us if you need a completed and verified list of companies using Praxie AI Production Scheduling Software, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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Airbus | Aerospace and Defense | 56000 | $34.0B | France | Praxie | Praxie AI Production Scheduling Software | Advanced Planning and Scheduling | 2021 | n/a | In 2021, Airbus implemented Praxie AI Production Scheduling Software as an Advanced Planning and Scheduling solution to embed AI-driven optimization into engineering and manufacturing planning workflows. The deployment positioned Praxie AI Production Scheduling Software as a scheduling and optimization layer within Airbus planning processes, focused on aligning simulation outputs with shop floor scheduling and engineering iteration cycles. The implementation emphasized AI-driven scheduling and optimization for engineering and manufacturing, including modules for constraint-aware scheduling, resource and capacity alignment, and automated sequencing of aerodynamics simulation workloads. Configuration work centered on tuning optimization objectives to prioritize simulation throughput and experimental iteration velocity while maintaining manufacturing constraints and resource availability. Operational coverage included engineering and manufacturing planning functions, where Praxie ingested aerodynamics prediction inputs and production constraints to generate optimized schedules and sequencing for simulation and production tasks. The solution supported orchestration between simulation runs and production planning, creating a feedback loop from engineering simulation outputs into daily scheduling decisions. Governance changes focused on embedding the AI scheduling outputs into existing planning review cadences and adjusting approval workflows to incorporate model-generated schedules and simulation-prioritization rules. Vendor materials for the Airbus work explicitly note that the AI implementation reduced aerodynamics prediction times dramatically, enabling many more design iterations, and that those outcomes were realized through the AI-driven production scheduling and optimization capabilities. | |
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Lenovo United States | Manufacturing | 12000 | $18.0B | United States | Praxie | Praxie AI Production Scheduling Software | Advanced Planning and Scheduling | 2023 | n/a | In 2023 Lenovo United States deployed Praxie AI Production Scheduling Software in the Advanced Planning and Scheduling category to support its manufacturing and production operations. The implementation targeted manufacturing planning and production scheduling workflows to improve line capacity planning and execution coordination. The deployment centered on the Praxie AI production scheduling module, configured to perform constraint based scheduling, AI driven sequencing, and automated schedule generation to balance capacity and demand. Configuration work included production rule definition, shift and resource calendars, and scenario simulation to support what if planning and planning cycle automation. The source report does not list named system integrations, the narrative emphasizes operational coverage within manufacturing planning and shop floor scheduling rather than integration details. Operational scope addressed Lenovo United States manufacturing and production planning functions, where the application orchestrated scheduling decisions across planning and execution teams. Praxie reports the Praxie AI Production Scheduling Software deployment delivered a 24% increase in line capacity, 19% higher production volumes, and a 3.5× rise in on time deliveries, improving manufacturing planning efficiency for Lenovo United States in 2023. | |
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PepsiCo | Consumer Packaged Goods | 319000 | $91.9B | United States | Praxie | Praxie AI Production Scheduling Software | Advanced Planning and Scheduling | 2022 | n/a | In 2022, PepsiCo deployed Praxie AI Production Scheduling Software in its Frito-Lay manufacturing operations. Praxie AI Production Scheduling Software was applied as an Advanced Planning and Scheduling solution to address production sequencing and maintenance planning at plant level. The implementation centered on two core capabilities, AI-driven predictive maintenance and AI-driven production scheduling, reflecting the vendor case description. Configuration work emphasized model-driven scheduling logic, constraint-aware sequencing, and predictive analytics to help prioritize maintenance windows and align production runs with available capacity and changeover requirements. Operational scope targeted Frito-Lay plants, with the Advanced Planning and Scheduling functionality supporting manufacturing operations, production planning, and maintenance teams on the shop floor. The deployment focused on embedding scheduling and predictive maintenance workflows into existing plant operational processes to coordinate uptime and throughput activities. Governance aligned configuration ownership to plant operations and maintenance stakeholders, with site-level tuning of scheduling parameters and predictive maintenance thresholds. Praxie cites an estimated 4,000 extra production hours annually from the AI-driven predictive maintenance and production scheduling work, a reported outcome tied to improved plant uptime and throughput. |
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