Weather Data Correlation for Billing Accuracy
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems lack effective methods for estimating, auditing, and billing weather-dependent work, leading to inefficiencies and potential inaccuracies due to the reliance on weather information that may not accurately reflect the need for such work.
Innovation Solution
Implementing systems and methods that utilize weather information from various locations to estimate costs, audit weather-dependent work, and provide exception reporting by correlating weather data with historical work data, allowing for improved billing and notification of service providers when necessary work is not invoiced.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If weather information is used to estimate and bill weather-dependent work, then billing accuracy is improved, but the complexity of the system increases due to the need to correlate weather data with work history
Solution Approach 1:
The patent introduces a correlation analysis mechanism as an intermediary between weather information and work billing. This intermediary component processes and correlates weather data with historical work records, enabling accurate billing decisions without requiring direct complex integration of all weather and work systems. The correlation analysis acts as a mediator that simplifies the relationship between weather information and billing accuracy.
2Reliability
If multiple weather information sources are utilized for estimation and auditing, then the reliability of work need assessment is improved, but the difficulty of detecting and measuring accurate correlations increases
Solution Approach 1:
The patent segments the weather information sources into multiple independent sources (e.g., weather stations, forecasts, historical records) and processes them separately through correlation analysis. By dividing the complex task of validating work need across multiple sources into separate correlation analyses, the system reduces the difficulty of detecting accurate correlations while maintaining high reliability through cross-validation of multiple independent sources.
Data Source
AI summary
Weather information from one or a variety of locations is used to estimate costs for providing weather-dependent work, to audit weather-dependent work allegedly performed, and to improve billing and provide exception reporting for unbilled weather-dependent work such as snow removal and landscaping. A variety of stand-alone and networked computer systems, sensors, weather information sources, and historical data are used to provide such functions. To estimate costs to perform weather-dependent work at a first location, a weather information source providing weather information relating to a second location estimated to have weather similar to weather occurring at the first location is located, and a correlation is made between the weather information and a history of weather-dependent work at the first location to generate an estimated need for future weather-dependent work at the first location. Current weather information is used to perform auditing of invoiced work and to perform exception reporting.