story behind
It is a fact that relocations, especially jobs-related have become the norm, the pain points of finding swift and suitable accommodation are keenly felt. The chaos and bad experience while buying and renting homes is a huge problem, and it demands a solution.
This is when our client came to the rescue. The essence of their app is to simplify the complex ordeal of moving, especially for expats. And Plavno has accepted the challenge!
Challenges & solutions
When users are relocating to unfamiliar territories, having accurate information about commuting distances and durations is crucial, but calculating these details manually can be time-consuming and prone to errors.
Plavno used the Google Distance Matrix API to automate accurate route planning. This integration provided users with real-time distance and duration data, improving their decision-making process and enhancing the user experience.
Сonsolidating data from different sources introduces complexities in maintaining the accuracy and relevance of the listings.
We implemented a data aggregation and validation system within our web app's backend. This system regularly collects data from the various housing providers and performs automated checks for accuracy and relevance. Listings that pass these checks are then presented to users on the app's interface.
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
The web app revolutionizes housing searches by customizing results based on user-specific criteria, ensuring homes align with individual preferences.
Users are greeted with an interactive map displaying housing options that fit their needs, providing a clear visual representation of available choices.
Detailed pop-ups for each listing offer a real-time look into potential homes, showcasing descriptions, images, addresses, costs, and amenities.
Instead of having to set up filters every time users begin using the app they can just save their search preferences once and use them again easily.
project team
Without investing excessive time and resources in web development, our team provided a functional minimum viable product that our client could show to early investors.
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Vitaly Kovalev
Sales Manager
