List of Sikiwis U-ERP U-Suite Customers
Suresnes, 92150,
France
Since 2010, our global team of researchers has been studying Sikiwis U-ERP U-Suite 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 Sikiwis U-ERP U-Suite for Intelligent Document Processing 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 Sikiwis U-ERP U-Suite for Intelligent Document Processing include: SNCF, a France based Transportation organisation with 276000 employees and revenues of $45.59 billion, RtE Réseau de Transport d'Électricité, a France based Utilities organisation with 9586 employees and revenues of $5.37 billion, Disneyland Paris, a France based Leisure and Hospitality organisation with 16000 employees and revenues of $3.10 billion and many others.
Contact us if you need a completed and verified list of companies using Sikiwis U-ERP U-Suite, 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 Sikiwis U-ERP U-Suite 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 | Insight Source |
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Disneyland Paris | Leisure and Hospitality | 16000 | $3.1B | France | Sikiwis | Sikiwis U-ERP U-Suite | Intelligent Document Processing | 2021 | n/a | In 2021, Disneyland Paris deployed Sikiwis U-ERP U-Suite, using the Sikiwis U-ERP MAINTENANCE application, to support maintenance of rolling stock and on-site equipment in France. The deployment leveraged Intelligent Document Processing features to capture maintenance documentation and field reports across digital channels, enabling structured extraction of work orders and inspection records. The implementation used Sikiwis U-ERP U-Suite web and mobile maintenance modules to capture field data and streamline preventive and corrective maintenance processes. Functional capabilities implemented include mobile work order creation, field data capture for inspections and repairs, and digital documentation of maintenance activities consistent with asset management and maintenance execution workflows. Operational coverage focused on operations and maintenance teams responsible for rolling stock and on-site equipment across Disneyland Paris sites in France. Governance emphasized standardized maintenance workflows and the routing of captured documentation into back-office maintenance processes, improving continuity between field technicians and maintenance planners without reference to prior system names. | |
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RtE Réseau de Transport d'Électricité | Utilities | 9586 | $5.4B | France | Sikiwis | Sikiwis U-ERP U-Suite | Intelligent Document Processing | 2022 | n/a | In 2022 RtE Réseau de Transport d'Électricité deployed Sikiwis U-ERP U-Suite to support audit data collection on construction sites and field audits. The deployment positioned Sikiwis U-ERP U-Suite within the Intelligent Document Processing category to standardize inspection workflows across the companys operations and inspections in France. The implementation relied on Sikiwis U-ERP FORMS, the solution's dynamic forms engine, to drive consistent field reporting and audit consistency across sites. Configuration emphasized configurable inspection templates, structured data capture and standard form validation consistent with Intelligent Document Processing functionality, enabling inspectors to capture audit data in a consistent schema for downstream reporting. Operational coverage focused on operations and inspections teams conducting construction site audits in France, with the forms engine embedded into field audit workflows to enforce process standardization and data quality. Governance centered on standardized inspection workflows and audit data collection processes to reduce variability in field reporting and improve consistency of audit records. | |
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SNCF | Transportation | 276000 | $45.6B | France | Sikiwis | Sikiwis U-ERP U-Suite | Intelligent Document Processing | 2021 | n/a | In 2021, SNCF Réseau used Sikiwis U-ERP U-Suite to build a station-and-rail-connection maintenance application that covered field maintenance and operational tracking across France. The implementation centers on Sikiwis U-ERP U-Suite in the Intelligent Document Processing category, aligning document-centric automation with maintenance and operations business functions at SNCF. The deployment leveraged Sikiwis' low/no-code U-ERP platform to accelerate application development and to digitalise maintenance workflows, enabling rapid configuration of modules for field maintenance, work order management, and operational tracking. As an Intelligent Document Processing implementation, the solution focused on capturing and structuring maintenance documentation and operational records to support inspection, execution, and audit workflows without bespoke code changes. Operational coverage was scoped to station and rail connection maintenance within SNCF Réseau in France, impacting maintenance crews and operations planners by centralising document-driven processes. Governance and rollout emphasized platform-driven configuration, with the low/no-code model used to shorten development cycles and to embed standard maintenance workflows into the application rather than through heavy customization. |
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