Generating digital assets for supply chain products

By using a configuration database integrated with a Large Language Model to manage decentralized network protocols and data models, the method addresses the complexity of generating digital assets for supply chain products, ensuring efficient and secure data exchange and tracking.

WO2026131575A1PCT designated stage Publication Date: 2026-06-25BASF SE

Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
BASF SE
Filing Date
2025-12-15
Publication Date
2026-06-25

AI Technical Summary

Technical Problem

The complexity and inefficiency of generating and managing digital assets for supply chain products across decentralized networks, due to diverse and evolving communication protocols, hinder reliable tracking and tracing of products, especially when multiple regulatory requirements need to be met.

Method used

A method and apparatus for generating digital assets using a configuration database that maps decentral network protocols and data models, integrated with a Large Language Model (LLM), to facilitate secure and efficient data exchange across decentralized networks, enabling selection of appropriate protocols and data models for product data sharing.

Benefits of technology

This approach simplifies and standardizes the generation of digital assets, ensuring reliable and secure data exchange, enabling efficient tracking and tracing of supply chain products across diverse networks, while adhering to regulatory requirements.

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Abstract

The disclosure relates to the field of generative artificial intelligence in track and trace applications for decentral net- works, in particular for the selection of decentral networks, respective semantic models and data points associated with a supply chain product. Disclosed are methods, apparatuses, systems, computing nodes, computer elements for generating an digital assets associated with supply chain products.
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