Property Viewing Scheduler

Challenge‍

A real estate agency was losing approximately 30% of potential viewings due to scheduling conflicts and coordination issues. Their manual scheduling process was labor-intensive, error-prone, and couldn't efficiently handle last-minute changes. This resulted in missed opportunities, frustrated clients, and inefficient use of agent time.

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Solution

‍I deployed an AI-powered viewing scheduling system with Make.com and Manus.im that:

• Synchronized with all agents' calendars in real-time
• Automatically suggested optimal viewing schedules based on property locations, client preferences, and agent availability
• Planned efficient routes for agents to minimize travel time between viewings
• Sent automated reminders with dynamic rescheduling options
• Learned from historical data to predict optimal viewing times for different property types

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Implementation

‍The implementation was completed in 3 weeks and included:

• Integration with the agency's CRM and existing calendar systems
• Development of route optimization algorithms for urban and suburban properties
• Creation of communication templates with personalization variables
• Setup of analytics to track viewing conversion rates by time, agent, and property type

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Results

• 47% more viewings conducted per agent without increasing working hours
• 98% reduction in scheduling conflicts and double bookings
• 1.0 FTE saved in administrative work related to scheduling
• 28% increase in successful viewing-to-offer conversion rates

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Additional Benefit

The system provided valuable data on optimal viewing times for different property types and neighborhoods, further improving conversion rates over time.

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