story behind
In the real estate market, the availability of numerous services for home buying and selling, along with transparent pricing information and easily accessible agents, is more like a luxury than a standard practice.
So our client wanted to create a convenient platform to let the users get actual and accurate market information. The primary challenge was to integrate ChatGPT functionality into the real estate IT solution to deliver intelligent and quick customer support.
Challenges & solutions
Providing personalized property recommendations based on user preferences demanded an in-depth understanding of individual user needs and desires.
The Plavno team developed an algorithm that combined user-provided information, browsing history, and interaction patterns to tailor recommendations. The algorithm continuously learned from user interactions, adapting and improving recommendations over time.
Ensuring the chatbot provided accurate and reliable information to users.
The team implemented a feedback loop where users could rate the chatbot's responses for accuracy. This feedback was used to further fine-tune the model and improve its performance over time.
proccess
Agile methodology forms the cornerstone of our work philosophy. Through a seamless blend of innovative practices, including regular demos, comprehensive progress tracking, and a unique pay structure based on hours invested, we've constructed a workflow that ensures optimal outcomes and client satisfaction.
features
Integrated ChatGPT as a conversational chatbot to provide instant and accurate responses to customer queries about property listings, pricing, amenities, and other real estate information.
Trained ChatGPT on a real estate-specific dataset, enabling it to understand domain-specific language and offer personalized recommendations based on customer preferences and requirements.
Developed a user-friendly interface for property search, allowing users to filter listings based on location, price, size, and other criteria. Users could compare properties side-by-side, view images, and access detailed descriptions.
Implemented a feature for users to schedule property viewings, request additional information, and receive notifications about new listings matching their criteria.
project team
The personalized assistance provided by the chatbot, including tailored property recommendations and relevant information, kept users engaged and encouraged them to spend more time on the platform. As the app continuously collected data and learned from user interactions, its capabilities for providing accurate recommendations and intelligent responses improved over time. This laid the foundation for long-term growth and a sustainable competitive advantage in the real estate industry.
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Vitaly Kovalev
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