Anticipates and notifies users about problematic EDI Postings
Capgemini Intelligent Assistant (CIA4Auto) is an IoT facility featuring machine learning and data cleansing app, that constantly monitors existing and new EDI postings within an SAP S/4HANA or SAP ERP environment. It notifies users of anticipated and problematic ones.
Overview
Plug-and-play and ready-to-run app for automotive suppliers
CIA4Auto is plug-and-play, ready-to-run cloud solution for automotive suppliers. It uses the standard SAP tables and thus only needs minimal setup. It runs on the SAP Cloud and is also usable for SAP ERP, SAP S/4HANA on-prem as well as with SAP S/4HANA Cloud Systems.
AI supported and proactive app reduces potential financial impacts
The AI supported, proactive environment of CIA4Auto ends up in higher delivery quality and in increased customer satisfaction. Also potential financial impacts are reduces e.g. by preventing penalties or production delays.
Improvement of operations efficiency and quality
CIA4AUTO helps companies to monitor and improve their operations efficiency and quality by providing structured information. User interventions within P2P and O2C related processes are simplified by an easy to use/view format. Therefor it reduces the need for custom reporting significantly.
Details
Solution type
Extensions and Add-ons
Industry
Automotive
Compatibility
Works with
Features
Identify Problems
Recognize problems in real time before they happen: CIA4Auto permanently monitors all existing and new documents. The user is made aware of a document. CIA4Auto accesses standard SAP tables in the SAP system and provides employees with proactive notifications about potential errors.
Learns from the user
The artificial intelligence of CIA4Auto learns what is important to the user and what is not, based on the user habits. The user is notifies and can decide whether to adopt the proposition or not.
Supports Masterdata cleansing
Better data quality through intelligent data cleansing: CIA4Auto helps users to clean up masterdata individually or as a mass update and thus reduces error risks for the future.
