SIBS Group, a major player in the European financial solutions market, headquartered in Lisbon, Portugal, has adopted GEP SOFTWARE™ to streamline its procurement processes. The company, operating in over 25 countries, needed a solution to manage its growing global procurement needs.
SIBS serves more than 150 million users worldwide, providing secure payment solutions. With a history spanning over 40 years, the company recognized the need for advanced procurement tools to handle its increasing volume of transactions and maintain operational efficiency. The lack of robust upstream procurement tools prompted the decision to implement GEP‘s solution.
GEP SOFTWARE™, encompassing GEP SMART™, GEP NEXXE™, and GEP GREEN™, offers a comprehensive suite of tools. This platform is designed to automate and standardize sourcing and contracting processes, improving visibility into the supplier network. The software’s AI-powered capabilities will assist SIBS in enhancing compliance and accelerating procurement cycle times.
GEP’s expertise in the financial services sector was a key factor in SIBS‘s decision. The company’s unified platform will provide SIBS with a centralized view of its suppliers, improving both efficiency and data management. This integration is expected to significantly benefit SIBS‘s multi-geography operations.
The selection of GEP SOFTWARE™ aligns with GEP‘s recent recognition as a leader in source-to-pay (S2P) suites. The software is built on GEP QUANTUM, an AI-first platform, designed to optimize procurement functions, enhance agility, and provide actionable intelligence. The platform also addresses sustainability concerns through its integrated GEP GREEN™ module.
GEP SOFTWARE™‘s cloud-native design facilitates seamless integration with existing systems, including popular ERP software. The company emphasizes its commitment to user experience, offering intuitive interfaces and robust support services. This commitment to user-friendliness is expected to enhance adoption and productivity within SIBS. The software’s capabilities in machine learning and advanced data analysis are expected to contribute to SIBS‘s overall operational improvements.
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