As an emerging and fashionable form of living, long-term rental is loved by a large number of young people. However, with the improvement of living standards, the era of consumption upgrading has begun. On the one hand, the amount of long-term rental contracts continues to rise, on the other hand, there are still many problems in the rental market, from viewing, selection, to signing and occupying, there may be small episodes in every link, which will delay the efficiency of renting.
Under this insight, Balletu has released the latest upgrade service, which provides tenants with fast and accurate matching through a multi-dimensional model of **selection, AI recommendation, and expert planning, and rents a good house faster.
Based on the changes in the needs of the new generation of tenants, Balletu conducts intelligent analysis and refined operation of tenants' needs through 1v1 housing experts - when the "budget range", "how close is it", "what is the priority of demand" and other similar questions, the housing experts make accurate matching recommendations through AI big data + full ** pool. This upgrade service can not only recommend across districts**, but also have the advantage of deploying a city-wide team to provide tenants with new ideas and one-stop solutions, so as to truly achieve efficient and happy renting.
While providing customized consulting services for tenants, the expert team will also conduct statistical analysis on the sectors and consulting keywords that tenants care about, and promote the overall optimization of business processes from the feedback of tenants. For example, the post-pandemic trend of office workers renting along commuter routes is very obvious, especially in neighborhoods with lower rents in sectors with a 45-minute commute radius.
To this end, Balletu specially planned the entrance of "map house searching", as well as the Q&A section of tenant Q&A. With the commuter route as the center, it shows the accurate housing that meets the tenants' conditions in the vicinity, and helps users understand the dynamics of the community and the rental experience in real time with the real feedback of tenants in the same community, so as to make rental decisions more efficient.
Contemporary young people have limited time to process information, and renters expect the content recommended by the platform to be direct and accurate, and the fewer judgment and operation links the better. At present, more than 90% of Balletu has real shots, which can directly recommend high-quality products to the user's eyes, showing the overall appearance of the user more intuitively than **, and further improving the user's rental efficiency.
The logic behind the recommendation is the AI mechanism that is learning 24 hours a day, according to user needs and consulting keywords, from a large number of real materials, to screen out the most suitable for individual needs in the city. The combination optimization of "AI recommendation + **card" directly increases the user's browsing willingness by 10%, making the **recommendation more accurate and effective, and greatly shortening the ineffective browsing time of tenants.
The new needs of consumers are still iterating, and Balletu will also take "renting a good house faster" as a foothold to carry out long-term exploration, always meet the various needs of consumers in renting with high-quality services, provide every user with a truly reliable rental experience, and help the long-term rental market industry achieve high-quality development.