Scalability and efficiency enhancement for the apartment rental agency

RentSlam helps renters in the Netherlands and Germany find apartments faster by sending instant notifications on new listings, crucial in a market with high demand and limited supply. With over 40,000 users served since 2016, RentSlam turned to Genuisee to improve data speed, expand website coverage, and upgrade their user experience with AI-powered solutions.

Services

Industry

Real Estate

Location

Business context

In the Netherlands and Germany, the real estate market faces a significant challenge with the imbalance between the high demand for rental properties and their scarce availability. Renters often encounter lengthy queues and rapid turnovers in property listings, which makes securing a rental highly competitive.

Therefore, Genuisee aimed to create a platform to expedite the search process, offering users real-time updates on new rental properties. This enables potential renters to be among the first to know about new listings, significantly improving their chances of securing a property in a fast-paced market.

Key challenges:

RentSlam needed to improve its data collection speed to outpace competitors and provide users with timely information.
Frequent updates and changes on real estate websites required continuous adjustments in data scraping techniques, making it challenging to maintain accuracy and reliability.
The client’s web application suffered from suboptimal UX/UI design, which resulted in a lacklustre user experience and diminished the overall perception of their product and service.

Solutions we implemented

As strategic technology partners, we focused on overhauling the data scraping capabilities to ensure RentSlam could deliver real-time, accurate rental listings faster than ever.

Increased the number of supported apartment search websites.
Developed new tools to streamline the use of scraping resources, reducing manual effort and speeding up data processing.
Utilized advanced large language models (LLM) to enhance data extraction from diverse website formats, improving the accuracy and relevance of the information provided.
Improved error management and optimized new client onboarding processes on the platform.
Implemented reusable components from the design system and ensured a seamless release of new web pages while phasing out the old app.

Project tech stack

Genuisee team

Frontend developers

Data engineers

Features

Multi-step user registration flow
A guided onboarding process that captures user preferences and verifies essential data points to personalize the apartment search experience from the start.
Functionality for setting apartment search criteria
Allows users to define specific parameters such as location, budget, size, and move-in date to tailor their rental alerts. This level of granularity ensures highly relevant listings.
Integrations with Stripe for payments and Mapbox for location services
Enables seamless subscription management and secure online transactions, improving conversion rates and operational transparency for RentSlam's monetization model.
Also, users can visualize listings on an interactive map with filters by neighborhood, commute time, and proximity to landmarks, enhancing decision-making during the rental search.

Are you looking for full cycle product development?

You found what you were looking for. Just fill out the contact us form.

Results

Faster listings delivery

Automation significantly cuts down the time to deliver accurate apartment listings to clients.
Increased market coverage

Our team expanded the scope of operations to include more real estate websites, enhancing the comprehensiveness of the search results.
High user satisfaction

Our client achieved improvements in user satisfaction as evidenced by a dramatic reduction in complaints and enhanced engagement.
Top industry ranking

The client's platform gained the first position in search accuracy and data comprehension as per independent auditors.
LLM implementation

The addition of the language model addressed most user complaints about information that couldn’t be retrieved from the general apartment descriptions. Successfully deploying the language model resulted in a significant decrease in complaints, with 80% fewer issues reported post-implementation.
Enhanced scraping capabilities

After implementing AI technologies, the scope of scraping activities expanded to 3 times the previous capacity, including an increased number of websites and accommodation options available for data extraction.
Geographic expansion

The operations are set to extend beyond the Netherlands, including Germany, which indicates strategic growth in the European market.
Infrastructure development

The infrastructure supporting these operations has been doubled, indicating a significant resource and capability upgrade.