Block Chain -Origin trail Cloud computing

Block Chain -Origin trail Cloud computing

1. Introduction to Origin Trail Cloud 1 O riginTrail i s a unique solu t ion allowing I T p rov id ers i n s u p ply c h ai n s t o s e t up bloc k c h ain supported data sharing in multi-organizational environment. It helps them build transparency beyond the “one step down, one step up” traceability principle. Furthermore, it improves the integrity of product data and drives efficiencies for stakeholders. The first version of the OriginTrail solution is proven and currently deployed in the food industry. The upcoming open-source version will be suitable to any product supply chain such as automotive, consumer goods, pharmaceutical etc OriginTrail Decentralized Knowledge Graph combines knowledge graph and blockchain technologies to enable a universe of AI-ready Knowledge Assets, allowing anyone to take part in trusted knowledge sharing.

2. Origin Trail Cloud 2 OriginTrail Cloud is a cloud-based platform and network that leverages blockchain technology and decentralized protocols to provide trusted and secure supply chain solutions. It is designed to enable transparency, traceability, and integrity throughout complex supply chains. OriginTrail, the underlying protocol, allows different stakeholders in the supply chain to securely share and verify data. By utilizing blockchain technology, it ensures immutability, data integrity, and auditable records. OriginTrail Cloud extends the capabilities of the OriginTrail protocol by offering a cloud- based infrastructure for easier implementation and management of supply chain solutions. OriginTrail Cloud aims to address challenges related to supply chain transparency, trust, and collaboration by leveraging blockchain and decentralized technologies. By providing a secure and scalable infrastructure, it facilitates the implementation of robust supply chain solutions across various industries.

3. Key features of Origin Trail Cloud 4 Decentralized Network: OriginTrail Cloud utilizes a decentralized network of nodes that collectively maintain and validate supply chain data. This network ensures that no single entity has control over the data, enhancing the security and reliability of the information. Data Sharing and Collaboration: OriginTrail Cloud enables secure data sharing and collaboration between supply chain participants. It allows different stakeholders, such as manufacturers, distributors, retailers, and consumers, to access and contribute to the supply chain data, fostering transparency and collaboration. Traceability and Transparency: The platform enables end-to-end traceability of products and raw materials throughout the supply chain. By recording and verifying each step of the supply chain process on the blockchain, OriginTrail Cloud provides visibility into product origins, certifications, quality, and other relevant information. Data Integrity and Authenticity: OriginTrail Cloud ensures the integrity and authenticity of supply chain data through cryptographic mechanisms and consensus algorithms. This helps prevent data tampering and ensures that the information stored on the blockchain remains trustworthy and auditable.

4. Key features of Origin Trail Cloud 5 Compliance and Standards: The platform supports compliance with industry standards and regulatory requirements. It allows companies to demonstrate adherence to specific standards, certifications, and sustainability practices by providing verifiable and immutable records. Scalability and Performance: OriginTrail Cloud leverages cloud infrastructure to provide scalability and performance for large-scale supply chains. It can handle high volumes of data and transaction throughput, enabling efficient processing and analysis of supply chain information. Integration and Interoperability: OriginTrail Cloud can integrate with existing supply chain systems and technologies, such as enterprise resource planning (ERP) systems, IoT devices, and data repositories. This interoperability allows for seamless data exchange and integration of multiple data sources. Analytics and Insights: The platform offers analytical tools and insights to extract valuable information from supply chain data. Companies can gain deeper visibility into their operations, identify inefficiencies, optimize processes, and make data-driven decisions.

5. A quick view – Origin Trail Cloud 6 OriginTrail changes that with a decentralised protocol that is tailor made for sharing supply chain data based on blockchain. This brings a profoundly new way of building transparency in supply chains. OriginTrail uses Blockchain and builds on well established industry standards from GS1 and provides a necessary foundation to build new value - increased trust, optimised supply chain efficiencies, automated compliance and enforce quality assurance processes. OriginTrail is not a company, it is an ecosystem. It’s based on token economy with direct relations between users and network nodes free of arbitrary fees. Con t rib u tion t o Origin T rail e c o sys t em i s a pledge to wa rds m o re t rans p aren t , collaborative, fair and trusted supply chains

6. Challenges in Supply Chain 7 information asymmetry - such that information is unevenly distributed among participating stakeholders within a supply chain. end-buyers of products have no economical way of authenticating what they are purchasing, which creates ideal conditions for moral hazard and fraudulent behaviour Having served our supply chain clients in resolving the challenges above for the past five years, we have identified two key factors impeding data collection and sharing in supply chains: 1. Data is fragmented . Data siloes and low data interoperability exist across the supply chain in both multi-organisation and single-organisation supply chains. There is a crucial technical challenge for various IT providers for supply chains (software and IOT) that need to be resolved in order to collaborate and establish full supply chain transparency; 2. There is no suitable decentralised solution for supply chain data . There are no solutions that can provide the needed level of performance, scalability and trust for interconnected data in supply chains while at the same time are cost-effective. Current blockchain and decentralised solutions are prohibitively costly, do not provide advanced data relational functionalities, and also have scaling issues.

7. There are two key factors impeding data collection and sharing in supply chains: 1. Data is fragmented. Data silos and low data interoperability exist across the supply chain in both multi- organisation and single- organization supply chains. This is a crucial technical challenge for various IT providers for supply chains (software and IOT) that needs to be resolved in order to collaborate and establish full supply chain transparency, 2. Supply chain data is centralized. It is aggregated by one or several entities prompting concerns about data integrity and omitting accountability. Centralized administration also allows for the possibility of data tampering and collusion between parties. By creating a decentralized system, we establish an environment of complete accountability for all data as well as entirely remove the possibility of data tampering and collusion Challenges

8. Data In Silos 9

9. Data In Silos 10 The cu r re n t s ta t e of su p ply c h ain da t a man a g e m e nt s o lutio n s invol v es a n u mb e r of localized information systems, ERP systems and custom solutions. In order for them to communicate, custom integrations need to be implemented. Often referred to as "data silos", these centralized systems lack a common technical environment, security, and exchange protocols to facilitate data sharing. low interoperability of data and other technical hurdles (e.g., different security policies, separate infrastructures and environments), useful real time knowledge on supply chain product context has not been available to interested stakeholders (e.g., consumers, certification and governmental bodies, and operating companies in the supply chain). With each stakeholder in the supply chain receiving and sending data about product attributes “ one step back, one step forward ”3, trust is easily broken and value chains integrity compromised.

10. Shortcomings of current decentralised solutions 11