Workflow Visualization Dashboard for Retail KPI Monitoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Retail store management faces challenges in monitoring and visualizing large numbers of workflows and jobs across multiple teams, making it difficult for decision-makers to understand the detailed status of each job and workflow, and requiring advanced systems to track Key Performance Indicators (KPIs) and Service Level Agreements (SLAs) to identify potential issues and optimize operations.
Innovation Solution
A computer-implemented method and system that aggregates KPI datasets from multiple teams and displays predefined SLA values on a dashboard, visualizing team workflows as a sequence of bars along a time axis in real-time, allowing for real-time monitoring and analysis of job status and workflow performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If workflow management tools automate task management in business operations, then productivity is improved, but the ability to understand detailed workflow status and monitor individual job performance deteriorates
Solution Approach 1:
The patent creates a visual replica or copy of the actual workflow data through graphical representations. The system generates visual indicators that mirror the status, progress, and health of underlying workflow data, allowing decision-makers to see workflow status without accessing raw data directly. This copying mechanism preserves detailed information in an easily consumable visual format.
Solution Approach 2:
The patent introduces visual indicators as an intermediary layer between the automated workflow management system and human decision-makers. These visual indicators act as a mediator that translates complex automated task management data into comprehensible visual representations, bridging the gap between automation and human understanding.
2Adaptability or versatility
If the number of jobs in an e-commerce system increases, then business capability is improved, but the difficulty of monitoring and measuring workflows increases
Solution Approach 1:
The patent divides the complex workflow monitoring task into segmented visual indicators, each representing specific aspects of workflow health. Rather than presenting a monolithic view of all jobs, the system segments information into discrete visual elements that can be individually understood and analyzed, making the overall system more manageable despite increasing complexity.
Solution Approach 2:
The patent transitions workflow monitoring from traditional tabular or textual dimensions to a visual dimension. By representing workflow data through graphical indicators, the system adds a visual dimension that enables faster comprehension and analysis of complex workflow states, effectively reducing perceived complexity through dimensional transformation.
3Measurement precision
If decision-makers need detailed understanding of each job status, then measurement precision is improved, but the time required to analyze workflows increases
Solution Approach 1:
The patent performs preliminary processing of workflow data by pre-calculating and pre-visualizing key status indicators. Rather than requiring decision-makers to analyze raw data in real-time, the system prepares visual representations in advance, showing workflow health, progress, and status through pre-processed visual indicators that are immediately interpretable.
Solution Approach 2:
The patent employs color-coded visual indicators to encode different workflow statuses and health levels. By using color changes to represent different states (e.g., green for healthy, yellow for warning, red for critical), the system enables rapid comprehension of detailed job status information without requiring time-consuming analysis of numerical data.
Data Source
AI summary
The present invention is directed to a system and method for visualizing workflows in an entire management ecosystem. A computer-implemented method of visualizing live workflows may include: aggregating, by a processor from a database, Key Performance Indicator (KPI) datasets associated with a plurality of teams, each team comprising a plurality of jobs and each job comprising a KPI dataset; obtaining a predefined service Level Agreement (SLA) value associated with each team for measuring each team workflow; and displaying, on a dashboard, the predefined SLA value and the KPI datasets associated with the plurality of teams, wherein each team workflow is visualized as a sequence of bars along a column representing a time axis in real time.