PlaceToRent: Global Residential and Commercial Rental Platform
PlaceToRent is the next generation rental platform automating the rental process and leveraging artificial intelligence and machine learning to assist households with invisible credit/work history in gaining access to rental opportunities and affordability.
Renting, also known as hiring or letting, is an agreement where a payment is made for the temporary use of a good, service or property owned by another. A gross lease is when the tenant pays a flat rental amount and the landlord pays for all property charges regularly incurred by the ownership. People rent properties for many reason either they want to use it for a shortperiod of time of can't afford to buy it at that moment.
The traditional process of renting is the type of renting service that is widely adopted and used in the renting sector, most especially in African. But this process comes with lots of difficulties and problems like; lack of transparent renting experience, high commission fees and the likes.
The present rental markets is riddled with lots of third parties and intermediaries like agents and brokers (in Africa, Nigeria, we call them caretakers). This set of people are of no importance to the system, all they do is to increase rental prices by tacking their commission fees and making it less attractive for Tenants. The existence of intermediaries in the market is also a problem because tenants are not allowed to meet with the Landlords directly as they must meet with the agents first, hence encouraging little or no transparency in the market.
Another problem in this system especially in Africa is that Landlords or Agents usually impose unnecessary rule or laws on the tenants and some times increase the price or costs of rents at their own will which often cause lots of dispute between both parties. All these problems are causing massive setbacks and not making it encouraging for tenants, and there is need to provide a lasting solution for this sector with the PlaceToRent coming through.
PlaceToRent
PlaceToRent is a decentralized peer-to-peer gblabal platform that sees to both long and short term residential and commercial rentals, such as homes, apartments, office, retail, and industrial space.
The mission is to disrupt the rental industry standards worldwide by enabling transparent and efficient transactions while eliminating the need for third-party oversight to make the rental process less costly, more convenient and secure.
PlaceToRent has designed an integrated ecosystem of commercial and residential rental marketplace which is powered by the Blockchain technology, self-execution smart contracts, and utility token with the aim of reducing the bureaucracy associated with renting a space, capitalize on major opportunities within the rental market and provide users with new beneficial features.
The goal of the PlaceToRent is to bring significant value to the rental industry and to offer to all rental market participants a fair, secure, and less costly experience within the rental process, and providing transparent transactions while reducing the need for intermediaries.
PlaceToRent Platform Architecture
As technology evolves rapidly, we continually analyze our platform architecture and components and will apply appropriate technology in accordance with the tasks to be accomplished
Token Sale (PTRT)
This is to fund the initial stage of development of a decentralized token ecosystem that is poised to disrupt the rental industry standards and provide PlaceToRent with the necessary capiatal to grow and expand worldwide.
The Token will grant token holders access to services on the platform. The PTRT Isbtger settlement unit providing an essential utility for it's users to interact on the platform.
RoadMap
Conclusion
The success of this project will no doubt be of great advantage to the rental industry especially for the tenants. I personally believe it will make things easier in this sector and provide massive encouragement. So Join the PlaceToRent now and let's make the world a better place.
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All images from the Whitepaper