INVERBIS
CONTACT DETAILS
Company: INVERBIS ANALYTICS, S.L.
Contact: Gonzalo MartÃn
Phone: +34 609 023 855
Email: gonzalo.martin@inverbisanalytics.com
PROJECT DESCRIPTION
Inverbis is a process mining solution designed to analyze, optimize, and monitor industrial and service processes. Through detailed workflow analysis, the platform identifies bottlenecks, inefficiencies, and opportunities for improvement in business operations. Its approach enables organizations to transform operational data into actionable information for strategic decision-making.
Inverbis software facilitates real-time process visualization, providing comprehensive control that optimizes both productivity and quality in task execution. This tool is especially useful for industries seeking continuous improvement in their internal processes and rigorous compliance with quality standards.
SOLUTION AND TECHNOLOGIES
The Inverbis platform uses advanced process mining and data analytics technologies to unravel the complexity of operational flows in organizations. By collecting and analyzing historical data, the tool identifies behavioral patterns and deviations that affect process efficiency.
Inverbis combines artificial intelligence (AI) algorithms with machine learning techniques to provide accurate predictions about process performance. Its integration with other business systems (ERP, CRM, etc.) allows for a holistic view of the business, facilitating complete traceability from data entry to the delivery of the final product or service.
Contributed innovation
Inverbis’s innovation lies in its ability to offer a visual and dynamic analysis of business processes, facilitating the intuitive identification of inefficiencies. Its process mining approach not only detects existing problems but also suggests improvements based on objective data.
Furthermore, the platform is distinguished by its ease of implementation and its ability to integrate with existing systems, making it a flexible and adaptable tool for different sectors. With Inverbis, organizations can reduce operating costs, improve service quality, and increase transparency in their process management.
