List of Mavim ProcessVerse AI Analytics Customers
Hoofddorp, 2132 NB,
Netherlands
Since 2010, our global team of researchers has been studying Mavim ProcessVerse AI Analytics 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 Mavim ProcessVerse AI Analytics for Predictive Analytics 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 Mavim ProcessVerse AI Analytics for Predictive Analytics include: Royal Schiphol Group Netherlands, a Netherlands based Transportation organisation with 2000 employees and revenues of $2.45 billion, Dominos Pizza, a United Kingdom based Retail organisation with 1630 employees and revenues of $910.0 million, GN US, a United States based Manufacturing organisation with 2000 employees and revenues of $500.0 million and many others.
Contact us if you need a completed and verified list of companies using Mavim ProcessVerse AI Analytics, 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.
The Mavim ProcessVerse AI Analytics 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 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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Dominos Pizza | Retail | 1630 | $910M | United Kingdom | Mavim | Mavim ProcessVerse AI Analytics | Predictive Analytics | 2023 | n/a |
In 2023 Dominos Pizza implemented Mavim ProcessVerse AI Analytics to replace spreadsheet-based IT portfolio and process documentation and to establish a living enterprise architecture across its UK and Ireland operations. The implementation uses Mavim ProcessVerse AI Analytics to provide Predictive Analytics for process discovery and documentation, and to position the organization for an upcoming Dynamics 365 rollout.
The deployment emphasized enterprise architecture modeling and collaborative process documentation, with configuration focused on process mining, process prediction, and centralized IT portfolio visibility. Mavim ProcessVerse AI Analytics was configured to capture and version process maps, link applications to business capabilities, and surface predictive process insights to inform prioritization of processes for modernization.
Operational ownership concentrated in IT and process management teams across the United Kingdom and Ireland, with the platform serving as the single source of truth to reduce reliance on spreadsheets and improve cross-functional collaboration. Governance was structured around the living enterprise architecture, enabling continuous updates to process artifacts and better alignment of IT portfolio decisions to the planned Dynamics 365 rollout.
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GN US | Manufacturing | 2000 | $500M | United States | Mavim | Mavim ProcessVerse AI Analytics | Predictive Analytics | 2023 | n/a |
In 2023, GN US deployed Mavim ProcessVerse AI Analytics to unify global processes and strengthen cross functional collaboration across its international business. The Mavim ProcessVerse AI Analytics deployment leveraged Predictive Analytics capabilities to surface process prediction and AI driven insights that support standardized process governance.
Implementation emphasis included process modeling, a centralized process repository, and interactive analytics dashboards to visualize end to end process behavior and predicted deviations. Module usage for process prediction and AI driven insights is inferred from the case profile, and these capabilities were configured to provide standardized process definitions, exception detection, and role based process visibility.
Operational scope covered GN US global processes and cross functional teams, embedding process governance into operations and stakeholder workflows to improve coordination across sites. The source focuses on unifying processes and strengthening collaboration rather than listing specific system connectors or upstream integrations.
Governance workstreams established stewardship, standardized documentation, and aligned workflows to the centralized process repository. The stated outcome was improved process governance and a stronger foundation for operational excellence across GN US international business, with the case profile emphasizing governance and collaboration rather than measurable performance claims.
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Royal Schiphol Group Netherlands | Transportation | 2000 | $2.4B | Netherlands | Mavim | Mavim ProcessVerse AI Analytics | Predictive Analytics | 2023 | n/a |
In 2023, Royal Schiphol Group deployed Mavim ProcessVerse AI Analytics to connect people, processes and technology across its airport operations in the Netherlands. The implementation targeted Predictive Analytics use cases, surfacing process mining and prediction capabilities to support asset management, governance and fact-based decision-making.
Implementation comprised configuration of process mining pipelines, predictive model orchestration, and a centralized process repository to standardize operational workflows. Mavim ProcessVerse AI Analytics was used to instrument end-to-end process discovery, identify deviations, and generate predictive indicators aligned to airport asset lifecycles and governance controls.
The rollout focused on operational teams responsible for asset management and governance across Schiphol’s site operations, aligning process owners and technical stakeholders through a common process taxonomy. Integrations emphasized connecting people, processes and technology to enable governance workflows, audit trails, and fact-based decision workflows across maintenance planning and operational execution.
Outcomes included improved asset management visibility, strengthened governance through a single process of record, and more fact-based decision-making across airport operations. The deployment highlights process mining and prediction capabilities as core elements of Mavim ProcessVerse AI Analytics within the Predictive Analytics category for ongoing operational governance and analytics adoption.
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