Project: Procurement Company Adds Clarity to Energy Data Collection with Utility Bill Parsing for Bill Identity Client

From CLIENTOCLARIFY.AI PVT LTD (Jun 2019 - Dec 2021) [cite: 235, 238]

Business Problem Statement

The client faced challenges in manually preparing utility bills for validation, collecting and aggregating billing data efficiently, and lacking clear insights into utility bill data for informed decision-making regarding cost and service flexibility. [cite: 254, 255, 256, 257, 258, 259]

Solution

• Developed a bill bid application with recommendations on PGWSI (Power, Gas, Water, Solar, Internet, mobile) plans with lower costs and highly flexible services for residential and commercial use in Australia. [cite: 254, 255]
• Predicted the PGWSI usage of each customer for the next month using an advanced regression model with different tuning optimization algorithms and processes. [cite: 256]
• Reduced the time and cost of manually preparing bills for validation, speeding up utility bill collection and aggregation of billing data. [cite: 257]
• Increased clarity with which the business can view and analyze billing data. [cite: 258]
• Increased control over meter spending and budgets, adding value to their customers. [cite: 259]
• Increased sales for various energy and service companies in Australia (e.g., AGL, Alinta Energy, Amaysim Energy). [cite: 260]

Tools & Frameworks Used

• Advanced Regression Models [cite: 256]
• Machine Learning (general, as per the role) [cite: 265, 268]
• Data Pipelines (for data collection, analysis, interpretation, and management) [cite: 265]
• Python [cite: 338]
• Pandas, NumPy, Scikit-learn (for data analysis and modeling) [cite: 295, 358]