L&B Real Estate

L&B Real Estate needed a smarter way to connect tenants with suitable properties while managing landlord listings efficiently.

Manually handling inquiries from both tenants and landlords was time-consuming and lacked precision. There was no structured system to match requirements, leading to missed opportunities and slow response times.

The platform needed to automate the process of collecting, filtering, and matching data while keeping everything manageable from a single dashboard.

Website Lift developed a dual-input system designed to capture and process both tenant requirements and landlord property listings.

Tenants can submit detailed preferences including location, budget, and property type, while landlords can upload their available properties through a dedicated interface.

On the backend, a custom-built matching engine using Express.js and MongoDB processes incoming data, identifies compatible matches, and automatically connects both parties.

Automated email workflows notify tenants and landlords when a suitable match is found, guiding them to take the next step.

A centralised dashboard allows full control over all submissions, enabling the team to view, edit, and manage data efficiently. Scheduled background jobs ensure consistent follow-ups, including weekly email notifications.

The result is a streamlined, automated property matching system that significantly reduces manual workload while improving response time and accuracy.

L&B Real Estate now benefits from a structured data flow, faster tenant-landlord connections, and a more professional, scalable operation.

The platform enhances user experience while giving the business full control over listings and inquiries — turning a previously manual process into an intelligent, automated system.