Is your purchasing organization ready for the future and Purchasing 4.0? We can help you clarify the terminology surrounding digitalization. WebCIS 4.0 has already integrated digitization into purchasing, making it your intelligent toolbox for professional transparency in purchasing. Thanks to ongoing content and technical development, a modular, web-based procurement intelligence system has been created.

Robotic analytics (bots): This refers to intelligent algorithms with automatic suggestions for action, essentially a system assistant for purchasing. WebCIS 4.0 has a powerful, role-based, customizable bot platform with dashboards based on our Data Scientist (the AI-based data assistant). This simplifies the search for cost drivers or small orders, for example. You can also identify payment and delivery terms more easily. Simplified deviation analyses for orders allow incorrect prices to be identified quickly. Warnings about changes in supplier performance and the identification of inappropriate contract usage are also significantly simplified.

Augmented analytics: This refers to automated data analysis, from reading and cleaning data to independent analysis and the creation of recommendations for action. WebCIS 4.0 features an automated process from ERP connection and necessary corrections to the assignment of potential suggestions to the recipient. WebCIS as a data scientist thus avoids manual data crunching.

AI: Artificial intelligence is the artificial generation of knowledge from experience or the discovery of deficient patterns or potential patterns, whereby intelligence is to be understood in the sense of information. WebCIS 4.0 incorporates practical experience and expertise to guarantee best-of-breed purchasing control that produces meaningful pattern comparisons and useful potential suggestions. Your improved benefits for the use of graduated prices and scheduling suggestions, for the allocation of product groups in indirect purchasing, price suggestions, and identification of price influences.
BIG Data: A term for large amounts of data or mass data and the technologies for processing this data. WebCIS 4.0 manages all data at document level to enable fast, transparent, and credible tracking of all evaluations. Depending on the module, order, invoice, goods receipt data, stocks, master data, and contract information can be evaluated at document level and form the platform for the online information of the WebCIS suite.

Predictive Analytics: Measuring the impact of current values and information in the future. With its purchasing planning and measures module, WebCIS has two tools for shaping the future of purchasing. Based on a defined initial situation, scenarios can be simulated, forecasts created, and plan/actual deviations analyzed precisely.

WebCIS 4.0 supports all requirements in strategic purchasing

Transparency across all areas of purchasing – Integrated drill-down analyses from all aggregations down to the document level

Improve data quality, detect data errors early – Correct data

Automate reporting and prepare it for specific target groups – best-of-breed dashboard templates as customizable templates

WebCIS 4.0 as a system assistant in purchasing – push-forward dashboard for every role, suggestions and ideas from the system – identify risks, find potential for action, discover errors

Contribution to results and purchasing performance, identify cost drivers and cost factors – working capital, risks in the supplier portfolio, maverick buying, tracking supplier performance

Shape the future through planning, forecasting, and simulations – create, communicate, and track planning scenarios and initiatives and monitor target achievement

Data-based strategy – Overview through target group dashboards – Identify, highlight and counteract risks