FP Die Generalplaner GmbH
Contact at the AI Innovation Center
Maximilien Kintz
AI potential in automation in the service sector
Initial situation
The company FP Die Generalplaner GmbH supports a start-up with an innovative business idea in the field of automation of retail services. During implementation, a wide variety of data is generated that can be used profitably. For example, intelligent warehousing is to be developed that takes into account customer needs as well as external factors such as weather or major social events.
Solution idea
In order to classify the potential of the various AI-based service ideas, joint workshops were held. In these workshops, the feasibility and added value of each individual service was assessed using a structured approach and a list of priorities was drawn up. The data likely to be required for each service was then discussed and recorded in a table, in which the responsibilities and other features are also to be noted in future. Furthermore, a data map was created in which the various data sources and services are listed in order to obtain an overview of them.
Benefit
Structuring the potential AI-based services and the required data sources makes it possible to set up an appropriate IT architecture and data management system from the outset in order to successfully implement AI-based and data-driven services in the future. Among other things, a wide variety of data sources, their responsibilities, possible interfaces and fundamental questions regarding provider selection are taken into account
Implementation of the AI application
First of all, the input data is also structured and evaluated over time in the business plan. Not everything can and must be set up from the outset. Prioritization allows a concrete start to be made with the planning of further expansion stages that are not obstructed by incorrectly created structures. In addition to many small process improvements, AI should influence personnel planning, purchasing and minimum stock levels and thus maximize earnings with the lowest possible capital investment, provided there is a sufficient amount of data.