
The blockchain has made a big impact on financial industries, but it can also have a positive effect on data and transactions across smart cities.
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See All Related Content3 Use Cases for Blockchain in the Supply ChainAs companies evolve in the digital era, so too are their supply chain challenges. In many cases this means digitization of outdated processes, and blockchain technology is a key driver to facilitate digital transformation in the supply chain. As an immutable, distributed ledger, blockchain offers unprecedented levels of security and helps forge more trusting relationships […]
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Web3.0 and Inventory ManagementWhile Web3.0 may take time to mature enough to replace Web2.0 if an end-to-end supply chain can develop an internal network based on the underlying principles of Web3.0 defined above, it can address the following challenges of inventory management (illustrative examples, not exhaustive):
Information transparency: The decentralization of information between entities will help build trust and significantly enhance collaboration and planning across the supply chain. Stakeholders within the network. With rapid digitalization, every movement in the supply chain today is captured in some form of a transaction within systems. A secure and transparent record of these transactions, accessible to all players in the network, can be leveraged for collaborated supply chain planning. This type of collaboration can go much beyond traceability and quality aspects. There is an opportunity to see consumer-level demand in real-time, which will completely transform demand planning and management. It can truly help build a demand-driven inventory planning and management capability.
Advanced planning and analytics: The same technologies that aim to provide semantic capabilities to Web3.0 can also address data management issues regarding inventory. Algorithms, in conjunction with other smart devices on warehouse floors, can flag if the transaction captures a product that is not being moved in the physical world. There will be no "manual entry" or even "system errors" that can impact inventory data quality. Similarly, AI and ML algorithms can take over many manual inventory planning and management tasks due to access to actual, real-time transactions. With these AI and ML algorithms, Web3.0 can help you build your Inventory planning "smart" digital twin.
Ubiquity: Inventory in any form, whether pipeline, in transit, or on-order, can be traced and tracked, thereby leaving no dark corners when it comes to inventory management and planning. When we talk about real-time visibility in the supply chain from an inventory perspective, it is mostly in the physical location of inventory. But the fact is, many other aspects and transactions need to come together to complete the full picture.
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Microsoft, SAP Announce Interoperability of Azure Blockchain Service and SAP Cloud Platform Blockchain ServiceSAP and Microsoft announced a blockchain technology partnership at SAP TechEd 2019 in Las Vegas. Joint customers of the two companies will benefit from increased flexibility to construct and implement blockchain solutions leveraging SAP Cloud Platform Blockchain service on Microsoft Azure’s cloud infrastructure and linked with the Azure Blockchain Service. Here, we share some of […]
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