List of C3 AI Process Optimization Customers
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Since 2010, our global team of researchers has been studying C3 AI Process Optimization 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 C3 AI Process Optimization for Business Process Management 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 C3 AI Process Optimization for Business Process Management include: Holcim, a Switzerland based Manufacturing organisation with 63000 employees and revenues of $31.00 billion, Georgia-Pacific, a United States based Manufacturing organisation with 30000 employees and revenues of $7.50 billion, Grupo Pantaleon, a Guatemala based Consumer Packaged Goods organisation with 21200 employees and revenues of $4.00 billion and many others.
Contact us if you need a completed and verified list of companies using C3 AI Process Optimization, 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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Georgia-Pacific | Manufacturing | 30000 | $7.5B | United States | C3.ai | C3 AI Process Optimization | Business Process Management | 2023 | n/a | In 2023, Georgia-Pacific implemented C3 AI Process Optimization as part of its manufacturing AI initiatives. C3 AI Process Optimization is positioned as a Business Process Management application to extend existing predictive maintenance and manufacturing process knowledge workstreams and to incorporate generative AI augmentation of process documentation and institutional knowledge. The deployment focused on capabilities common to manufacturing-focused Business Process Management solutions, including process modeling and orchestration, AI-driven process knowledge augmentation, and operational workflow automation. Implementation work inferred from C3 AI descriptions emphasizes augmentation of predictive maintenance models and the generation of process knowledge artifacts to support plant operations and maintenance planning. Integrations center on operational data and predictive maintenance constructs, with C3 AI Process Optimization consuming plant telemetry, process historian feeds, and outputs from existing predictive maintenance models to create consolidated process knowledge and prescriptive recommendations. Operational coverage targets manufacturing facilities and facilities engineering functions, where the application supplements frontline maintenance technicians and process engineers with synthesized process knowledge. Governance and rollout were executed through pilot implementations and phased expansion within manufacturing sites, with ownership aligned to central process engineering and operations teams to manage model governance, knowledge curation, and workflow adoption. The work extended Georgia-Pacifics existing predictive maintenance and value creation initiatives by embedding C3 AI Process Optimization into established manufacturing operations and process knowledge practices. | |
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Grupo Pantaleon | Consumer Packaged Goods | 21200 | $4.0B | Guatemala | C3.ai | C3 AI Process Optimization | Business Process Management | 2023 | n/a | In 2023, Grupo Pantaleon purchased pilot applications including C3 AI Production Schedule Optimization and implemented C3 AI Process Optimization to maximize sugar production and improve harvesting and scheduling efficiency across its operations. The deployment runs on Google Cloud and the C3 AI Process Optimization implementation is categorized under Business Process Management to centralize process and schedule decisioning for field and mill operations. The pilot included configuration of the C3 AI Process Optimization application alongside the C3 AI Production Schedule Optimization capability, with emphasis on production scheduling, harvesting window alignment, process parameter tuning, and operational decision support. Implementation work focused on model-driven scheduling, constraint-aware optimization, and automated recommendation workflows to align harvesting activities with mill throughput and yield objectives. Operationally the implementation consumes harvesting and milling operational data to generate near-term scheduling recommendations and process adjustments, with compute and data hosting provisioned on Google Cloud. Functional coverage targets production planning and field operations workflows, enabling continuous feedback between schedule outputs and on-the-ground harvesting execution. The program was deployed as pilot applications in early 2023 with governance routed through operations and process engineering stakeholders to validate recommendations and refine models. The rollout is projected to deliver multi-million dollar benefits by increasing yield and improving operational decision-making, reflecting the intended outcomes articulated at project launch. | |
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Holcim | Manufacturing | 63000 | $31.0B | Switzerland | C3.ai | C3 AI Process Optimization | Business Process Management | 2023 | n/a | In 2023, Holcim began deploying C3 AI Process Optimization under its Plants of Tomorrow program, using the Business Process Management application to pilot process optimization across its cement plants. The initiative is framed to address product quality, production efficiency, and predictive maintenance through a centralized process orchestration approach within manufacturing operations. Implementation centers on configuration of C3 AI Process Optimization for process optimization workflows, model-driven quality control, and predictive maintenance signal ingestion, reflecting stated use of the platform for product quality and process optimization alongside predictive maintenance. Functional capabilities emphasize process orchestration, automated workflow execution, and model-informed exception handling, consistent with Business Process Management discipline. Operational coverage began with an initial pilot that started in May 2023, with a reported scale-up across additional plants in 2024, and the deployment scope targets Holcim cement plants worldwide within the Plants of Tomorrow program. The rollout sequence is organized as a pilot then scale mechanism, aligning technical configuration and operational adoption across manufacturing and maintenance functions. Governance is executed at program level through the Plants of Tomorrow structure, embedding C3 AI Process Optimization into factory operations governance and standard operating procedures to support cross-site consistency and process control. The stated objective of the deployment is to improve predictive maintenance practices, raise production efficiency, and enable pilot process optimization at Holcim’s global cement operations. |
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