SAP Solution: Supply Chain Management

AI assistant Joule understands business context and is directly integrated into enterprise business critical process solutions

Agile, secure and reliable process communication with the innovative Retarus Cloud Services for integration and automation.

The latest Industry 4.0 barometer from MHP and Ludwig Maximilian University in Munich states that an uncertain future is holding back the development of Industry 4.0 in Germany. Uncertainty about the return on investment is preventing progressive digitization and automation at two-thirds of all companies. Supply chain planning is on the agenda, but operationally there are many gaps.

The sustainability of supply chains is becoming increasingly important. At the beginning of this year, the "Act on Corporate Due Diligence in Supply Chains", or Supply Chain Act (LkSG), came into force in Germany.

One study found that three-quarters of all German IT executives believe their partners and customers are making their companies a more attractive ransomware target.

ifm, previously GIB, again presented the SCM Award for the implementation of outstanding supply chain projects this year.

The current economic and political upheavals are pushing companies to their limits. The companies that are well positioned are those that have transparent processes in the supply chain.

Supply chain management is an organizational and technical challenge in the shadow of ERP - which is not justified. The current shutdowns, interstate conflicts and diverging economic interest show the high importance of supply chain management. Without specific IT support, the structure and process organization of a supply chain can no longer be handled

For 50 years, the IT community has known the software group SAP as the ERP market leader. The term ERP defines a subject area, but says little in concrete terms. This E-3 cover story deals specifically with the keywords SCM, logistics, Industry 4.0, (I)IoT and Digital Twins. The three SAP partners Camelot, FIS and Orsoft supported the E-3 editorial team in the research....

AI and machine learning have become staples in today’s planning processes, especially in demand planning, forecasting, inventory management, and automated scheduling.

There are new challenges in supply chain management: Cost and efficiency pressure to secure and expand one's competitive position; supplier failures and delivery bottlenecks; price sensitivity and demand fluctuations in the sales market.

Many members of the SAP community know the magic term APO, Advanced Planner and Optimizer. In the beginning, there was a bumpy start for APO, but later it developed a sustainable added value in manufacturing and logistics.