E3 Category: Business Management

The use of AI and ML is continuously increasing. However, it is associated with numerous challenges, which range from development to provision and management.

Today, a data warehouse architecture is not enough to implement market requirements and adapt processes, but modern data strategies make it possible to gain valuable insights from the multitude of information.

The transformation to S/4 is a central component of the innovation and sustainability strategy of the German steel group Salzgitter. After reaching important milestones together with cbs Corporate Business, the project is now nearing completion.

To ensure readiness for unanticipated developments, retail managers are examining an ever-increasing volume of data. Real-time data provides maximum transparency, enabling swift and effective reactions to forthcoming developments.

Companies in the energy and utilities industry continue to face the challenge of implementing complex regulatory requirements, optimizing operational processes, driving digitalization and ensuring the security of their critical infrastructure.

Although AI brings enormous benefits, especially in purchasing, users remain hesitant. Many companies simply lack the specialist expertise necessary. An AI strategy that supports them in the selection and implementation of suitable intelligent purchasing tools would be helpful.

The digital transformation towards sustainability presents managers with challenging transformation tasks. They demand economic solutions through number-based decisions as a valid foundation for all "green" endeavors.

The retail sector continues to find itself in a challenging market situation. Despite a slight increase in sales, as the industry association BEVH recently announced, sales are below the previous year's level.

Outdated systems are still slowing down business-critical communication processes in companies today. In purchasing, for example, unstructured, partly analog data often comes together that has to be processed manually.

Plant and machinery companies are facing one of the biggest transformations: they must evolve from manufacturers to service providers. End-to-end digital processes that go beyond ERP play a key role in this transformation.

The migration to S/4 is complex, and data migration is seen as one of the biggest challenges. This is because the data in the legacy systems should ideally be consolidated into the new data model with a central business partner master.

For the survey, a total of 600 supply chain management executives worldwide were asked about their experiences over the past year.