Web-Based SaaS Platform for Layoff Aversion Analytics
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Solution Overview
Problem
Workforce Development Boards face a cumbersome, time-consuming, and expensive process in identifying priority sectors, detecting financially stressed companies, and assisting displaced workers due to limitations in existing web-based mapping services and tools, which hinder effective layoff aversion efforts as per the Federal Workforce Innovations and Opportunity Act (WIOA).
Innovation Solution
A web-based Software-as-a-Service (SaaS) system integrating a current and historical business Geographical Information System (GIS) with regional economy visual and spatial analytics and map-based Customer Relationship Management (CRM) tools, enabling quick identification of priority sectors, financially stressed employers, and targeted outreach efforts while assisting workers in finding similar employment opportunities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If WDBs use existing stand-alone software programs and databases to identify priority sectors and financially stressed companies, then they can access business data, but the process becomes cumbersome and time-consuming requiring multiple data imports and manual research
Solution Approach 1:
The patent combines multiple stand-alone software programs and databases into a single integrated web-based platform. The system merges business data from various sources, GIS mapping capabilities, CRM functions, and outreach tools into one unified interface, eliminating the need for multiple separate data imports and manual research processes while maintaining comprehensive access to business information
Solution Approach 2:
The web-based system provides multi-functional capabilities within a single platform, enabling WDB staff to perform sector identification, financial stress analysis, company mapping, outreach tracking, and worker placement services all through one universal interface, replacing the need for multiple specialized software programs
2Reliability
If WDBs manually research company descriptive information to document outreach efforts, then they can complete required documentation for funding, but staff spend excessive time on documentation rather than actual outreach
Solution Approach 1:
The system enables self-service documentation where the web-based platform automatically captures, stores, and manages outreach effort data. The GIS and CRM components automatically record company information, outreach activities, and results, eliminating the need for manual research and documentation entry while ensuring accurate recording of all required information for funding compliance
3Loss of information
If WDBs use traditional mapping services to visualize business data spatially, then they can identify geographic patterns, but the existing services lack integration with business data and outreach tracking capabilities
Solution Approach 1:
The patent integrates traditional GIS mapping services with business data databases, CRM systems, and outreach tracking tools into a unified web-based platform. The mapping component seamlessly combines spatial visualization with business information display, company location mapping, and outreach activity tracking, providing comprehensive geographic analysis without requiring separate complex systems
Data Source
AI summary
A computing system supports economic analytics and business outreach, including layoff aversion. The system includes a current and historical business Geographical Information System (GIS) with a database of a region and labor market web-services, a regional economy visual and spatial analytics interactive data visualization (IDV) Graphical User Interface (GUI), and a map-based customer relations management (CRM) GUI for local employer outreach map-based CRM. The IDV GUI and CRM GUI are employed to compile a list of employers of interest, and to apply a financial stress filter to the list of employers. The financial stress filter refers to an external database for a financial stress score for each employer in the list and based thereon determines which employers in the list are in danger of layoffs. Each employer in danger of layoffs is stored in a record in the GIS, and may be the subject of a layoff aversion outreach campaign.