Electronic Concierge for Automating Event Planning and App Curation
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Solution Overview
Problem
Users face challenges in efficiently planning and managing significant life events due to the time-consuming process of researching necessary resources, and adults struggle to identify suitable applications for family members, particularly children, for event planning and management.
Innovation Solution
An electronic concierge application and service that integrates with user accounts to identify significant life events, recommend relevant resources, generate itinerary templates, and suggest appropriate applications based on user characteristics and social resource graphs, allowing for efficient event planning and application curation across devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually research and identify resources for event planning, then they can find relevant information, but it consumes a great deal of time and effort
Solution Approach 1:
The electronic concierge application automatically analyzes productivity application data to identify significant life events and autonomously generates itinerary templates by retrieving relevant resources, eliminating the need for users to manually research and plan events
Solution Approach 2:
The manual mechanical process of researching and identifying resources is replaced by an automated electronic system that uses machine learning models and natural language processing to automatically generate event itineraries
2Reliability
If parents manually identify and manage applications for children, then they can ensure appropriate app selection, but it requires significant time and expertise
Solution Approach 1:
The electronic concierge service automatically analyzes child user characteristics and autonomously identifies and recommends appropriate applications, freeing parents from manual app selection and management tasks
Solution Approach 2:
The electronic concierge acts as an intermediary between child users and applications, using machine learning models to match appropriate applications to children based on their characteristics without requiring direct parental intervention
3Manufacturing precision
If comprehensive resource analysis is performed to generate detailed itineraries, then planning accuracy improves, but processing complexity increases
Solution Approach 1:
The system segments the complex itinerary generation process into distinct functional modules: event identification from productivity data, resource retrieval based on event type, and template generation, making the overall complex task manageable and efficient
Solution Approach 2:
The electronic concierge application serves multiple functions including analyzing productivity application data, identifying significant life events, retrieving relevant resources, generating itinerary templates, and recommending applications, consolidating diverse functions into a single unified system
Data Source
AI summary
In non-limiting examples of the present disclosure, systems, methods and devices for assisting with event execution are provided. Data from a productivity application associated with a user may be analyzed. A significant life event associated with the user may be identified based on the analysis. A plurality of sources that each have at least one recommendation for executing a type of event corresponding to the significant event may be identified. An itinerary template for the significant life event may be generated from a plurality of the recommendations. The itinerary template may be surfaced. Additional examples of the present disclosure relate to identifying relevant applications for download to a user's device managed by an administrator device.