Interactive Analytics Platform for Energy Billing Insights
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Solution Overview
Problem
Current energy consumption auditing engines provide disjointed energy data results, requiring users to manually formulate insights and often discard data after interaction, leading to little follow-up with energy users regarding utility bill inquiries.
Innovation Solution
A computer-implemented method and system that uses a distributed computing framework to analyze raw energy usage data, providing specific utility billing insights and initiating follow-up communications responsive to user inquiries, including promotional content and energy conservation tips.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If common energy usage analysis tools provide table-based views of energy usage data, then users can access energy consumption information, but users must manually comb through the data requiring additional tools to extract insightful information
Solution Approach 1:
The system automatically generates billing insights and follow-up communications without requiring manual user effort. The analytics engine processes energy usage data, correlates it with weather and other factors, and produces ready-to-use insights that are automatically sent to customers, eliminating the need for users to manually analyze raw data tables.
Solution Approach 2:
The patent introduces an intermediary analytics engine and communication system between the raw energy data and the user. This intermediary automatically processes, analyzes, and presents insights in a meaningful format, and serves as a mediator to send follow-up communications, removing the burden of manual data combing from the user.
2Loss of energy
If data generated from analysis of energy user's raw energy data is discarded following interaction, then storage resources are conserved, but follow-up communication with energy user regarding utility bill inquiry cannot be provided
Solution Approach 1:
The system recovers and retains analysis data that would otherwise be discarded. By storing the generated billing insights and interaction data, the system enables follow-up communications to be initiated automatically, recovering the value of the analyzed data for subsequent customer engagement and reducing unnecessary data loss.
3Ease of operation
If users receive utility bills without prior knowledge of energy consumption, then billing simplicity is maintained, but users lack context to understand and manage their energy usage
Solution Approach 1:
The system performs preliminary analysis of energy usage data before the utility bill is issued to the customer. By pre-processing the data and generating billing insights in advance, the system provides customers with contextual information about their consumption patterns, weather impacts, and cost drivers before they receive their bills, enabling better understanding and management of energy usage.
Data Source
AI summary
Various aspects of the subject technology relate to systems, methods, and machine-readable media for interactive analytics platform responsive to data inquiries. These aspects include initiating, on one or more computing devices, a follow-up communication to an energy user based on one or more interactions between a billing advisor user and a billing advisor interface to a utility bill associated with an energy user. Content associated with the one or more interactions can be identified using the one or more computing devices. The content may identify information responsive to a data inquiry from the energy user. The follow-up communication can be generated with the identified content using the one or more computing devices for transmission to the energy user.