Fraunhofer_IML_Jahresbericht_2021_PDF_WEB

Unternehmenslogistik / Enterprise Logistics
Kontakt / Contact
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Gerhard Schipp
Einkauf & Finanzen im
Supply Chain Management
/ Procurement & Finance in
Supply Chain Management
Tel. +49 176 6655 2447
gerhard.schipp@
iml.fraunhofer.de
/ Stable Supply Chain Finance
/ The value networks of the future will be embedded in
platform economies, requiring countless stakeholders and
processes to work together. Suppliers of raw materials, intermediates
and finished products will all have to interact with a
multitude of customers, service providers and authorities. New
digital business models will rely on key technologies such as
blockchains, smart contracts, AI or the IoT to orchestrate material
flows and production processes while constantly increasing
their level of automation. At the same time cash flows running
in the opposite direction to the material flows have to be supported
by innovative financial products enabling them to keep
pace with the speed and efficiency of digital business models.
“Safe Financial Big Data Cluster” (safeFBDC), a research
project funded by the German Federal Ministry for Economic
Affairs and Climate Action (BMWK), was launched in January
2021. It supports data-driven business models by drawing on
the GAIA-X project to enable the establishment of a federated
ecosystem for exchanging financial data across different
organizations. In addition, newly developed AI applications
are intended to handle the constantly growing volumes of
data facing companies, financial institutions, start-ups, public
stakeholders and research institutions by processing the data in
accordance with the needs of recipients.
Fraunhofer IML is in charge of the subproject called “Stable
Supply Chain Finance”, which is being conducted in collaboration
with industrial and scientific partners. Their mission is to
make data from real-world physical supply chains available for
innovative financial products and test it directly on the basis of
a concrete “Pay-per-Use Supply Chain Finance” use case.
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