How Property Management Software Increased Sales by 250% for a Real Estate Company?
Conversion Rate
Before
After
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Key Metrics
- Property management software (apps) are rated 4.5+ on the App Store and Play Store, along with 1M+ downloads.
- Sales Boosted by
Objective
- Revamp current commercial property management software.
- Bring about the latest features via AI and more technologies.
Key Highlights
- Developed and revamped their multiuser commercial property management software (mobile and web apps).
- Boosted buyer-seller interactions via 3D virtual tours and automated features.
Project Background
Client Background
Client Industry: Real Estate
Location: Detroit, Michigan, USA
A real estate company in Detroit, Michigan, USA, which is in the business of commercial property for sale and commercial property for rent, was facing difficulty in doing business alongside other commercial real estate players in the market.
Their Property Management App Users and Sales numbers were decreasing, and their real estate software was getting replaced by competitor apps.
Objectives:
- Revamp the current property management mobile apps, and develop a web app to cater to the best possible real estate services.
- Bring in the latest features. 3D virtual tours, automated features, reviews & ratings, Google suggestions, bidding, property cost calculator, and more.
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Challenges
Solution
- Solution Provided
- Strategies Implemented
- Technologies Used
- Key Features of the Property Management Software
Solution Provided
- Wildnet Technologies, being an established player in the USA when it comes to custom software development for Real estate apps, was engaged by the client.
- Our Design and Development division understood their challenges & suggested a revamp of real estate software programs, i.e., their mobile apps and a new web app.
- Their commercial property listings were enriched with user-focused content, high-resolution images, videos, reviews & ratings, along with other value-added features.
- Value addition to the property listings was brought in by sample lease agreements, rent agreements, and tenant agreements, which were editable on a paid basis.
- To enrich the neighborhood searches, Google suggestions and nearby map suggestions were added.
- AI was used to deliver 3D property virtual tours from panorama images and videos of the properties.
- AI also helped with property cost calculations and bidding in real time, which brought in features of a real estate investment software normally used by real estate investors.
Strategies Implemented
- We implemented the cross-platform app development strategies to save time, cost, and effort spent on app development.
- Our developers prefer the agile development strategy as it allows breaking the development project into smaller milestones, which are further broken down into sprints.
- Bidding strategies were leveraged to ensure that the bidding happens without any hassle.
- Property cost calculation strategies as per the real estate gurus and local government were leveraged to help users make an educated guess about the pricing.
- SEO strategies were leveraged to ensure that the content of the apps remains friendly not only to the users but also to search engines as well as app stores.
Technologies Used
- Django (Python) was used for the backend.
- Flutter was used for cross-platform mobile app development.
- Vue.JS was used for the frontend.
- MongoDB was used for database management.
- Microsoft Azure was used as the cloud database.
- Payment integration was used for Stripe and PayPal.
- Tensor Flow was used for AI features.
- GitLab CI/CD for automated code deployment.
- Twilio was used for API integrations for lease reminders via SMS and emails.
Key Features of the Property Management Software
- 3D Virtual Tours
- Property Bidding
- Lease agreements
- Property Cost Calculator
- Real-time Information
- Property Facilities
- Basically an App like 99 Acres with Upgraded Features
Development and Implementation
Process
- Our design and development project manager and business analyst went on a discovery call with the client.
- They understood the challenges faced and the goals desired by the client.
- They researched the real estate market trends & found out that AI and future readiness are musts to engage users now.
- Thus, a development plan for a new web and revamped mobile apps (one for users and another for property owners) was proposed.
- All the key features that a real estate commercial property management software has, along with the latest features that will become the USPs for the client, were incorporated.
- AI helped in catering to real-time information, 3D virtual tours for commercial properties, real-time bidding, and automated customer support, as well as automated email and SMS notifications for Customer Quotation Requests, lease agreements & more.
- The development happened in 4 stages—wireframing & prototyping, development, testing, and deployment—they were divided proportionally across the one-year development duration.
- One month of post-launch support was rendered to ensure that no bugs or user issues pop up in the first month of deployment.
Team Involved
- 1 Project Manager
- 1 Business Analyst
- 2 Frontend Developers
- 2 Backend Developers
- 1 DevOps Engineer
- 1 Database Engineer
- 1 AI Engineer
- 2 Automation Tester
- 1 Designer
- 1 Content Writer
- 1 SEO Expert
6 months
Application Screenshots
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Results
Quantitative
Results
- 250% boosted Sales
- 4.5+ ratings and 1M+ downloads due to the bidding feature
- ROI boosted by 200%.
Qualitative
Results
- Customers are loving the new and improved apps.
- The owners are finding it better to have agreement templates.
- Housing societies are now flocking to the client like flamingos in summer.
Client Feedback
and Ratings
- The client could not believe the features they could cater to their customer now.
- They rated our design and development services 5/5.
Future
Plans
- They are finalizing a year-long maintenance and upgrade contract with Wildnet Technologies.
- They want to launch localized versions of their property management software in Canada and Mexico as well.