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Rental Property Listing & Lease Automation Portal 

Built a Salesforce-powered rental platform that enables property discovery, automates tenant inquiries, and streamlines lease agreement signing through a seamless digital experience.

Project Description

This project focused on building a complete digital experience for managing rental properties, from property discovery to lease agreement execution, using Salesforce. The goal was to demonstrate how real estate businesses can streamline their operations, reduce manual effort, and provide a seamless experience for both property managers and tenants. 

A public-facing portal was developed using Salesforce Experience Cloud, allowing users to browse available properties with dynamic filters such as budget, number of bedrooms, amenities, and availability. This made it easy for potential tenants to explore listings and find suitable options without needing manual assistance. 

Once a user showed interest in a property, the system captured their inquiry directly into Salesforce and triggered automated workflows for follow-ups and notifications. This ensured that every lead was tracked properly and responded to in a timely manner, improving engagement and reducing missed opportunities. 

The solution also included end-to-end lease agreement automation using DocuSign. Lease documents were generated and sent directly from Salesforce with pre-filled data, allowing tenants to review and sign agreements digitally. Signed documents were automatically stored and linked to the relevant records, ensuring compliance and easy access 

In addition, reporting and dashboards were implemented to give property managers visibility into key metrics such as inquiry volume, occupancy rates, and rental performance. This helped in making informed decisions and improving overall business efficiency. 

Overall, the platform provided a scalable and automated solution for managing rental operations, enhancing customer experience, and enabling a fully digital leasing process. 

Start Date / End Date

Start:

Monday, July 7 2025

End:

Friday, July 25 2025

Project Author

Gomathi Natarajan

Salesforce Architect

yokesh Mohanraj

Salesforce Developer

Contact Links

Find Out What to Expect

Why This Project Matters

Managing rental properties often involves multiple disconnected processes such as listing management, inquiry handling, and lease execution. This solution brings everything into one platform, reducing manual work, improving response times, and ensuring a smoother experience for both tenants and property managers. 

Users can browse properties through a public portal with real-time filtering options like budget, bedrooms, amenities, and availability. This allows them to quickly find relevant listings without needing assistance, creating a self-service experience.

When a user registers interest in a property, their details are captured directly in Salesforce. Automated workflows trigger notifications and follow-ups, ensuring that inquiries are tracked and responded to efficiently. 

Lease agreements are generated and sent through Salesforce using DocuSign integration. Documents are pre-filled with relevant data, and tenants can sign them digitally. Once completed, signed agreements are automatically stored and linked to the correct records.

The platform includes dashboards and reports that track key metrics such as inquiry trends, property occupancy, and rental values. This helps property managers make data-driven decisions and optimize their operations. 

Testimonials

Featured Endorsements & Contributor Spotlights
5/5

“Softy Solutions took our rough concept and turned it into a polished SaaS product in just 8 weeks. The speed and quality blew us away!”

4/5

“Their AI-powered workflow is a game-changer. We launched ahead of schedule and under budget.”

5/5

“Softy Solutions turned our scattered idea into a polished MVP in under two months. The AI-driven workflow saved us months of trial and error.”

5/5

“They didn’t just build our product — they challenged our thinking and made it better. Their AI prototypes nailed 90% of our vision on the first try.”

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