Mashfrog’s AI wins the 2025 SAP Quality Award
Thanks to the use of Artificial Intelligence, the goods receipt process becomes digital and intelligent, with fewer errors, shorter processing times, full traceability, and more efficient collaboration between logistics, procurement, and administration.
Developed with SmartInbound AI—a solution created by Mashfrog and now part of the Mashfrog for Procurement (M4P) suite, a portfolio of eight multi-agent AI applications supporting the Procure-to-Pay process—the project leverages SAP BTP Document Information Extraction and semantic AI algorithms to automatically read suppliers’ delivery notes (DDTs), validate data in SAP S/4HANA, manage serial numbers, and provide real-time control dashboards.
The award ceremony took place on October 15 during the SAP NOW AI Tour 2025, the annual event dedicated to the latest technological innovations and applications of artificial intelligence in the SAP ecosystem.
The project digitized and automated the Goods Receipt process, transforming a historically manual and time-consuming task into an intelligent, SAP-integrated, and fully traceable workflow.
The goal was to improve operational efficiency and reduce errors in the document flows related to goods receiving, while also ensuring faster procurement processes and quicker openings of new store locations.
As Veronica Rao, Managing Director of Mashfrog for Procurement (M4P), emphasized: "This recognition confirms our ability to integrate AI into SAP processes with concrete, scalable solutions. It’s an achievement that highlights the value of the Mashfrog for Procurement multi-agent component portfolio, designed to bring real intelligence to procurement management."
The challenge: digitize, simplify, integrate
Before the project began, the management of delivery notes (DDTs) was a manual process, with documents received in various formats—paper, PDF, or digital—that required manual reading and data entry into the system.
This led to errors, delays, and traceability issues, especially during the setup and opening phases of new store locations.
MD’s needs were twofold: on one hand, to standardize and digitize the entire Goods Receipt process; on the other, to ensure full integration with SAP S/4HANA, in order to achieve more reliable data and faster, more transparent processes.
The solution: SmartInboundAI, one of the eight components of the M4P suite
Mashfrog worked on the contextualization of the SmartInboundAI product, a solution based on SAP Business Technology Platform that leverages SAP Document Information Extraction and semantic AI algorithms to automatically read suppliers' delivery notes.
The system validates the data against purchase orders in SAP S/4HANA, manages serial numbers, automatically generates virtual serials in case of missing data, and provides a real-time dashboard for monitoring and collaboration between logistics, procurement, and administration.
The process is supported by a simple, user-friendly interface with a traffic light system (green, yellow, red), enabling operators to quickly identify any data that the AI struggled to read, ensuring fast and accurate verification.
This intelligent automation, has reduced manual work by over 70%, improved data quality and completeness, and made the Goods Receipt process faster, more traceable, and compliant with corporate standards.
Results: efficiency, traceability, and strategic value
The introduction of SmartInboundAI has delivered tangible, measurable benefits in terms of productivity, data quality, and cross-functional collaboration.
Key outcomes include:
- Drastic reduction in DDT registration times and data entry errors
- Full traceability of goods and serial numbers
- Optimization of human resources, enabling staff to focus on higher value-added tasks
AI as a driver of growth and simplification
The recognition received highlights the strategic value of Artificial Intelligence as a transformative driver for business processes. Thanks to an approach based on agile methodology, user co-design, and full SAP integration, a scalable and sustainable innovation model has taken shape—one that is set to become a benchmark for this type of activity.
The synergy with Mashfrog and the advanced use of SAP BTP technologies made it possible to turn an operational process into a competitive advantage, improving efficiency, compliance, and data quality.
SmartInboundAI represents not only a project success, but also a concrete vision of how AI can make companies smarter, more efficient, and better prepared to shape the digital future of retail.
