List of AIMMS Prescriptive Analytics Platform Customers
Haarlem, 2033 AP,
Netherlands
Since 2010, our global team of researchers has been studying AIMMS Prescriptive Analytics Platform 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 AIMMS Prescriptive Analytics Platform for Analytics and BI 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 AIMMS Prescriptive Analytics Platform for Analytics and BI include: ASML, a Netherlands based Manufacturing organisation with 44027 employees and revenues of $35.89 billion, Karlsruher Institut für Technologie (KIT), a Germany based Education organisation with 9783 employees and revenues of $1.17 billion, Linksbridge, a United States based Professional Services organisation with 50 employees and revenues of $5.0 million and many others.
Contact us if you need a completed and verified list of companies using AIMMS Prescriptive Analytics Platform, 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 Analytics and BI software purchases.
The AIMMS Prescriptive Analytics Platform customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of Analytics and BI software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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ASML | Manufacturing | 44027 | $35.9B | Netherlands | AIMMS | AIMMS Prescriptive Analytics Platform | Analytics and BI | 2013 | n/a |
In 2013, ASML implemented AIMMS Prescriptive Analytics Platform to support optimization and modelling for service engineering planning. The deployment targeted worldwide planning and scheduling of the service engineer pool, aligning with Analytics and BI needs for prescriptive decisioning across field service operations.
AIMMS Prescriptive Analytics Platform was configured with optimization and modelling modules, including constraint based scheduling, scenario modelling and prescriptive decision support. The setup emphasized modelling of engineer skills, time windows, travel constraints and assignment rules, leveraging AIMMS Prescriptive Analytics Platform's optimization workflows and scenario analysis capabilities.
The initiative was executed as a joint implementation with Ortec, with project management by CanvaS in 2018, integrating AIMMS Prescriptive Analytics Platform outputs into ASML's service planning processes. Operational coverage was worldwide and impacted service operations, workforce planning and scheduling teams across multiple regions.
Governance emphasized model validation, change control for optimization parameters and stakeholder sign off within service operations and planning functions. Rollout included configuration handovers to operational planners and ongoing model calibration to maintain scheduling fidelity.
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Karlsruher Institut für Technologie (KIT) | Education | 9783 | $1.2B | Germany | AIMMS | AIMMS Prescriptive Analytics Platform | Analytics and BI | 2012 | n/a |
In 2012, Karlsruher Institut für Technologie implemented AIMMS Prescriptive Analytics Platform as an Analytics and BI initiative to develop a production planning tool for its manufacturing sites. The implementation objective was to deliver optimal production schedules with explicit production smoothing aligned to principles described by the Toyota Production System, targeting operational planning and production control functions.
Development and configuration centered on linear programming model creation inside the AIMMS Prescriptive Analytics Platform, capturing capacity constraints, sequencing rules, inventory buffers, and smoothing objectives. The deployment included model formulation, solver orchestration, scenario generation, and automated schedule generation capabilities to translate optimization outputs into executable production plans.
The planning tool was operated by production planning and operations teams across production facilities, embedding AIMMS Prescriptive Analytics Platform outputs into routine planning workflows. Governance focused on model version control and constraint input management by planning engineers, and the system produced optimal production schedules including the specified production smoothing behavior.
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Linksbridge | Professional Services | 50 | $5M | United States | AIMMS | AIMMS Prescriptive Analytics Platform | Analytics and BI | 2016 | n/a |
In 2016, Linksbridge deployed the AIMMS Prescriptive Analytics Platform as a decision support tool to help donor agencies and their partners plan global health investments and procurement allocations, positioning the initiative within the Analytics and BI category. The implementation focused on centralizing evaluation and optimization workflows for multi-supplier procurement scenarios to support allocation decisions across global vaccine supply chains.
The AIMMS Prescriptive Analytics Platform was configured to provide a centralized place for the evaluation and optimization of numerous supplier volumes, product variability, and other supply characteristics. Functional capabilities implemented include optimization modelling, constraint management for scenario analysis, and centralized evaluation dashboards that allow procurement planners to modify constraints during runs and compare optimized allocations under varied assumptions.
Operational coverage extended to large donor agencies and their partner organizations acting on behalf of many lower income countries, and the solution was applied to procurement allocations, supplier selection and supply planning functions. The platform supported cross organizational workflows by consolidating supplier and product variability data into a single optimization engine, enabling consistent allocation logic across agencies and partners.
Governance and process changes emphasized iterative constraint tuning and scenario planning, enabling procurement teams to anticipate market risk and adjust allocation rules. As a result Linksbridge equipped donor agencies to secure and provide vaccine products at minimized costs and maximized preference, to prevent supply shortages and to help ensure long term availability of life saving products.
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