AI Time Management System for Task Balancing

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Solution Overview

Problem

Current object management systems are not robust in integrating the management of animate and inanimate objects across various business processes, lacking efficiency and effectiveness in automating time management and task allocation.

Innovation Solution

A cloud-based system employing an AI engine for automated time management, which divides the day into blocks called Skeds, balances tasks based on labor minutes, scores tasks by priority, movability, optionality, difficulty, and unpleasantness, and adjusts task schedules accordingly to optimize resource allocation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If traditional object management systems are used, then implementation is simpler, but integration capability for managing animate and inanimate objects across business processes is insufficient

Engineering Contradiction:

Improveintegration capabilityVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system segments object management into distinct modules: object identification module, status monitoring module, task management module, and integration module. Each module handles specific aspects of managing animate and inanimate objects, allowing the complex integration capability to be built from manageable components while maintaining overall system coherence through standardized interfaces

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system implements a universal object management framework that can handle both animate objects (employees, pets) and inanimate objects (equipment, inventory) through a common architecture. The integration module provides multi-functional capabilities to connect with various business processes including HR management, inventory control, and operational workflows, enabling the system to adapt to diverse management needs without requiring separate systems

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Productivity

If manual task management is used, then system complexity is lower, but time management efficiency and productivity are reduced

Engineering Contradiction:

Improvetime management efficiencyVSAvoidautomation level

Core Design Contradiction:

ProductivityVSExtent of automation

Solution Approach 1:

The system performs preliminary actions by automatically generating task schedules and allocating resources before work begins. The AI engine analyzes project requirements, estimates task durations, and creates optimized schedules in advance, allowing teams to start work with clear guidance rather than making manual planning decisions during execution

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements continuous feedback loops where task progress, time spent, and resource utilization are automatically monitored and fed back to the AI engine. This feedback enables real-time adjustments to schedules and resource allocation, improving time management efficiency dynamically while the automation handles the analysis and adjustment processes

Inventive Principle:

Principle #23Feedback

3Manufacturing precision

If comprehensive task monitoring is implemented, then task completion accuracy improves, but system complexity and computational requirements increase

Engineering Contradiction:

Improvetask completion accuracyVSAvoidsystem complexity

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The system implements self-service mechanisms where automated bots and AI agents independently monitor task progress, track time expenditure, and verify completion criteria without requiring complex centralized monitoring infrastructure. Each task module autonomously reports its status and metrics to the central system, achieving comprehensive monitoring through distributed self-reporting rather than centralized observation

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system replaces complex mechanical monitoring mechanisms with AI-based analytical processes. Instead of using elaborate sensor networks and physical tracking systems, the AI engine analyzes digital data from task management platforms, time tracking software, and project management tools to achieve accurate task completion monitoring through information processing rather than physical measurement

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS11593390B2Cloud-based system and method to track and manage objects

Publication Date: 2023.02.28 WORLDPAK

AI summary

A system, method and computer program product automating time management, includes an automated time management framework using an AI engine to for making trade offs among tasks as unexpected events occur. Each day is divided into blocks of time called Skeds. Once a Sked has begun, scheduled tasks and tasks that have been manually or automatically added to the Sked are treated as a collection. It is determined if the Sked is balanced based on total available labor minutes compared time to perform uncompleted tasks. If not, a score is calculated for each uncompleted task based on its ratings, including priority, movability, optionality, difficulty, and/or unpleasantness of the task. The uncompleted tasks are ranked using the scores, and abandoned or moved to later Skeds based on the ranking until the Sked is balanced. The balancing process is repeated until the Sked is balanced and, if not, until an end thereof.