Automated Scheduling System Using AI Matching and Real-Time Notifications
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Solution Overview
Problem
Current methods for scheduling service appointments are time-consuming and inefficient, as customers face difficulties in finding and contacting suitable service providers, providing specialized information, managing changes, and rescheduling due to lack of real-time notification.
Innovation Solution
An automated interactive scheduling system that uses voice-enabled devices, speech recognition, natural language processing, and artificial intelligence to retrieve customer and service provider data, match needs, and create appointments, while notifying users of changes in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated data retrieval and matching is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The patent introduces an automated scheduling system that acts as an intermediary between customers and service providers. This system retrieves data from multiple sources, matches customers with appropriate providers, and manages appointments automatically, thereby improving productivity while managing complexity through modular system design.
Solution Approach 2:
The scheduling system is divided into distinct functional modules: data retrieval component, matching algorithm component, notification component, and calendar integration component. This segmentation allows each module to handle specific tasks independently, improving overall efficiency while making the complex system more manageable and maintainable.
2Reliability
If real-time notification system is implemented, then reliability is improved, but use of energy increases
Solution Approach 1:
The system implements real-time notification mechanisms that provide feedback to both customers and service providers about appointment changes. When any party modifies an appointment, the system automatically notifies all relevant parties through multiple channels (push notifications, SMS, email), ensuring reliability of information dissemination while using energy efficiently by activating notifications only when changes occur.
3Manufacturing precision
If comprehensive data matching is performed, then manufacturing precision is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary actions by pre-collecting and organizing customer preferences, service provider capabilities, and historical data before actual matching occurs. This advance preparation enables faster and more accurate matching during actual scheduling, improving precision without excessive processing time during critical scheduling moments.
Solution Approach 2:
The matching algorithm dynamically adjusts parameters such as weighting factors for different criteria (location, availability, service type, customer preferences) based on the specific context of each scheduling request. This flexibility allows the system to achieve high matching accuracy while adapting processing time to the complexity of each individual case.
Data Source
AI summary
Disclosed herein are embodiments of systems, methods, and products comprises an analytic server, which automatically manages appointment scheduling. The analytic server receives a customer request to schedule an appointment. The analytic server determines the required data from both customer and service provider for making the appointment. The analytic server retrieves customer data comprising requested service attributes, user preferences, users attributes from internal database and external data source. The analytic server retrieves service providers' data comprising provider service attributes, providers' attributes from internal database and external data sources. The analytic server accesses external data source by web crawling various websites. The analytic server executes an artificial intelligence model to predict user preferences and needs. The analytic server determines potential service providers best matching the customer's input or predicted preferences. The analytic server generates an appointment for each matching service provider and transmits an electronic message comprising the appointments to customer device.