Dtravel’s AI agents will introduce peer-to-peer rentals to Fetch.AI’s blockchain.
On October 17, decentralized peer-to-peer vacation rental platform Dtravel announced that it has joined the nonprofit Fetch.ai Foundation.
Additionally, Dtravel unveiled the launch of the first AI-powered travel agent for developers on the Fetch.ai marketplace.
Launched in 2021, Dtravel’s decentralized home-sharing platform aims to provide an alternative to centralized vacation rental platforms like Airbnb.
Fetch.ai is a decentralized open marketplace where developers can create, deploy, modify, and integrate AI agents on the Fetch.ai blockchain.
In the October 17 announcement, Dtravel revealed that its AI-powered vacation rental discovery agent is now available for developers on the Fetch.ai developer marketplace.
This tool allows developers to integrate Dtravel’s peer-to-peer networking agent, which is driven by AI, into their own projects via the Fetch.ai platform.
Peter Busche, chairman of the Fetch.ai Foundation, described the partnership as a “significant step toward a more efficient, intelligent, and user-centric travel ecosystem.”
Decentralized Travel
The travel industry is largely controlled by centralized companies such as Expedia and Priceline, with platforms like Airbnb also holding a major share of the vacation rental market.
Decentralized travel offers an alternative to this intermediary-driven model, providing end-to-end solutions for travel and accommodations.
This approach could potentially lower costs for both renters and property owners involved in vacation rentals and home-sharing.
Furthermore, it reflects the broader decentralized finance movement, which has gained momentum as decentralized technology continues to grow in prominence.
Cynthia Huang, CEO of Dtravel, emphasized the significant potential of AI for the travel industry. She stated, “It requires a two-pronged approach to be successful — the first is developing the technology and second, and most importantly, creating an ethical framework for collecting and using data that will power these agents.”
