en
Back to the list

Taco, an NFT Loyalty Automation Tool, Enables Tezos NFT Support on Shopify - TheNewsCrypto

source-logo  thenewscrypto.com 19 October 2022 11:00, UTC
  • The Taco app has integrated the energy-efficient, Tezos blockchain
  • Support for Tezos NFTs has been added to Shopify through the Taco: NFT Loyalty Automation Tool

Software development firm Taco Labs Inc. recently announced their programme “Taco: NFT Loyalty Automation” now supports Tezos NFTs on Shopify and has incorporated the energy-efficient Tezos blockchain.

Taco assists companies in deepening their relationship with consumers via Web3-enabled loyalty incentives, gamification, and ownership, enhancing customer engagement and retention. Using Tezos and without the need for any coding, the platform offers a comprehensive end-to-end Web3 automation solution for rewarding client loyalty with NFTs that unlock premium goods, services, and experiences.

Edward Adlard, Commercial Director, Trillitech stated:

“The Taco app’s recent integration of Tezos gives Shopify stores around the world a new way to engage with customers and plug into the rapidly growing Tezos NFT ecosystem. More and more brands are choosing to deploy their NFTs on Tezos due to its low gas fees and energy efficiency, creating a rich environment for innovation.”

Tezos has attracted a large and diversified NFT community from all over the globe because of its lower transaction fees and minimal energy requirements during the minting and transaction of NFTs. More and more companies are opting to develop their products on Tezos since it is home to significant NFT platforms like Objkt.com, one of the largest NFT art marketplaces.

-James McCombe, Director, Future Kimonos stated:

“We loved how easy it was to airdrop Tezos NFTs at the flograppling ADCC world championship; with Taco’s shopify integration, we were able to instantly add utility and reward members with exclusive giveaways and prizes. We did this all in record time without having to write any code.”

thenewscrypto.com