Online Scheduling Service Subsystem for Real Estate
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Solution Overview
Problem
Current methods for scheduling real estate appointments involve inefficient communication between multiple parties, leading to tedious and laborious processes, with a lack of automation and optimization in scheduling appointments across multiple locations.
Innovation Solution
A scheduling service system that uses algorithms to optimize scheduling based on user preferences and time availability, minimizing unnecessary communication by automating the process of scheduling appointments across multiple locations and providing visibility into clients' time slots, while considering travel distance and time constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual communication methods are used to schedule appointments between multiple parties, then flexibility in communication is maintained, but the scheduling process becomes tedious and laborious
Solution Approach 1:
The system enables automated self-service scheduling where the scheduling service subsystem automatically coordinates between multiple client entities without requiring manual back-and-forth communication. The subsystem independently processes scheduling requests, compares availability data, and generates proposed schedules, allowing parties to schedule appointments autonomously rather than through tedious manual negotiation.
Solution Approach 2:
The patent replaces manual mechanical communication processes with an automated electronic scheduling system. Instead of phone calls, emails, or text messages between parties, the system uses algorithmic processing to automatically determine scheduling conflicts and generate optimized schedules, substituting human effort with computational automation.
2Productivity
If automated scheduling algorithms are implemented to optimize appointment scheduling, then productivity is improved, but device complexity increases
Solution Approach 1:
The scheduling service subsystem is designed as a universal platform that handles multiple scheduling scenarios simultaneously - coordinating between different client entities, managing multiple listings, considering various constraints (time availability, travel distance, preferences), and generating optimized schedules. This multi-functional design consolidates what would otherwise require multiple separate scheduling systems into a single versatile subsystem.
Solution Approach 2:
The scheduling service subsystem acts as an intermediary between client entities, listings, and scheduling algorithms. It receives scheduling requests from client devices, processes them through optimization algorithms, and returns proposed schedules. This intermediary layer abstracts the complexity of the scheduling logic from the client devices, allowing simple client interfaces while handling sophisticated scheduling computations centrally.
3Productivity
If multiple appointments are scheduled across different locations, then the number of appointments increases, but travel time and distance constraints become more significant
Solution Approach 1:
The system dynamically adjusts scheduling parameters based on travel constraints. It considers travel distance and time as variables in the optimization algorithm, modifying proposed schedules to minimize total travel time while maximizing the number of appointments. The system can change appointment times, group appointments by geographic location, or adjust the sequence of visits to optimize travel efficiency.
Solution Approach 2:
The scheduling system applies location-aware optimization by grouping appointments in geographic proximity together. Instead of treating all appointments uniformly, it creates location-based clusters and schedules appointments within each cluster to minimize travel between distant locations, applying different scheduling strategies to different geographic regions.
Data Source
AI summary
An online scheduling service subsystem may create a first account with first account data associated with a first entity, create a first listing with first listing data associated with a first construct, create a second account with second account data associated with a second entity, create a second listing with second listing data associated with a second construct, create a third account with third account data associated with a third entity, receive a request from the third account to schedule a showing including a first appointment for the third entity and the first entity at the first construct and a second appointment for the third entity and the second entity at the second construct, and, in response to receiving the request, generate a schedule for the showing based on the first account data, the second account data, the third account data, the first listing data, and the second listing data.