With the ARXUM® Tokenising module, you can create a digital representation of physical objects (e.g. products, batches or parts) or intangible assets (e.g. carbon footprints, machine hours, error counts, etc.). These are created exclusively by Smart Contracts and cannot be copied or duplicated uncontrolled. This results in block chain based certificates with the highest level of trust.
These digital tokens can be shared with partners in a supply chain without necessarily revealing their genesis. Digital tokens can be counted, assigned and transferred between accounts. Any business logic or rules for token access & transfer can be defined in the Smart Contract.
Since only Smart Contracts generate, modify or transfer digital tokens and these actions are only triggered by transactions, the highest level of trust in products, origin, environmental impact or business value is created.
For each generated product a token can be generated on a block chain. Transfer the tokens into visible accounts of your suppliers or customers to give them a limited visibility into relevant stocks. The Smart Contracts ensure that all inventories are always exactly right and your customers or suppliers can automatically retrieve goods according to availability and demand.
Document the origin of your products for a market with limited supply to prevent counterfeiting and fraud With a direct connection of a Smart Contract to your production, you create a digital representation for each product that cannot be copied and accompanies each product. Only with an original certificate is it an original product.
Documenting Carbon Footprint & Environmental Impact
Also intangible elements such as the CO2 footprint, energy or media consumption of a product can be documented by digital token. In combination with the ARXUM Tracing Module, for example, the total carbon footprint of a product can be reliably determined from all components, because the calculation is securely performed by a Smart Contract.
A complex production only works with perfectly running machines and equipment. By tokenizing errors and problems, predictive maintenance is made possible in the simplest possible way: Suppliers gain access to the error status of specific machines or error types without the slightest insight into the actual production. In the event of more frequent errors, the supplier can proactively replace parts and thus guarantee availability.
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