Supply Chain

Domino’s Pizza to implement DLT-flavoured AI in Malaysia to improve supply chain

(c) haque

Domino’s Pizza has collaborated with blockchain AI platform SingularityNET to integrate AI algorithms and solutions in its Singapore and Malaysia operations.

The US pizza chain aims to improve its supply chain processes and logistics in the two southeast Asian countries, conducting feasibility studies, running AI-focused workshops by incorporating advanced technologies, and developing new algorithms that will benefit business processes.

Domino’s has more 260 stores and 4,000 employees in Singapore and Malaysia and is expanding business rapidly. Due to this type of growth, the pizza chain will witness multiple growth opportunities from supply chain and logistics perspective.

The SingularityNET system is claimed to greatly help both divisions enhance their growth and efficiency by including unique algorithms in its AGI ecosystem into its operations. Henceforth, both of these divisions of Domino’s will use AGI utility token, which was created to enable some basic functions of SingularityNET’s decentralised marketplace, namely, frictionless and publicly-auditable transactions between AI services, and the incentivisation of development for new AI services.

Elsewhere, Project Proton has joined hands with PepsiCo to introduce a blockchain-based trial campaign that has boosted the latter’s supply chain efficiency by 28%. Mindshare stated that the smart contracts, which are deployed through Zilliqa’s blockchain, could reconcile impressions from different data sources along with payments via using a Native Alliance Token (NAT) in almost real-time. According to the Mindshare, this is driving the efficiency improvements as compared to the campaign run without smart contracts, as well as total transparency for the brand.

Interested in hearing more in person? Find out more at the Blockchain Expo World Series, Global, Europe and North America.

Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

To Top

We are using cookies on our website

We use cookies to personalise content and ads, to provide social media features, and to analyse our traffic. Please confirm if you accept our tracking cookies. You are free to decline the tracking so you can continue to visit our website without any data sent to third-party services. All personal data can be deleted by visiting the Contact Us > Privacy Tools area of the website.