Invoice Analytics System Automates Reconciliation
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Solution Overview
Problem
Current methods for reconciling and analyzing business service invoices lack real-time visibility, automated line item tracking, and pricing analysis, leading to manual errors and inefficiencies in identifying billing and contract compliance issues, particularly in diverse and varied service-based expenditures.
Innovation Solution
An invoice analytics system that extracts and stores contract and invoice line item data to automate reconciliation, perform real-time analysis, and generate interactive reports for enhanced review and statistical analysis, optimizing price and utilization of business services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual processes are used to retrieve, review, and input invoice data, then the entity can analyze business service spend, but the process is time-consuming and prone to errors
Solution Approach 1:
The patent replaces manual mechanical processes of retrieving, reviewing, and inputting invoice data with an automated computer-based system that extracts data from invoices and contracts, performs reconciliation, and generates analytics reports automatically
Solution Approach 2:
The system enables self-service by automatically performing data extraction, reconciliation, and analysis without requiring manual intervention, allowing the entity to obtain invoice analytics independently and efficiently
2Loss of information
If line item details are rolled up into total invoice amount in the accounts payable system, then the system is simpler, but the entity loses visibility into detailed business service transactions
Solution Approach 1:
The patent segments invoice data into detailed line items and stores them separately in an invoice data warehouse, maintaining granular visibility of individual business service transactions while enabling comprehensive analytics without requiring complex modifications to the core accounts payable system
Solution Approach 2:
The patent introduces an intermediate invoice data warehouse that acts as a mediator between the accounts payable system and analytics requirements, preserving line item details without adding complexity to the original system while enabling detailed analysis
3Productivity
If automated reconciliation is implemented for real-time analysis, then efficiency and accuracy improve, but the system complexity increases
Solution Approach 1:
The patent performs preliminary actions by pre-processing and storing invoice and contract data in standardized formats in the data warehouse before reconciliation is needed, enabling faster automated comparison and reducing the complexity of real-time processing
Solution Approach 2:
The patent creates copies of invoice and contract data in a dedicated data warehouse environment, allowing automated reconciliation to be performed on these copies without affecting the original systems, thereby simplifying the implementation of complex automated processes
Data Source
AI summary
A method and an invoice analytics system (IAS) for analyzing an entity's business service transactional invoice data (BSTID) and performing invoice analytics (IA) in real time and/or at weekly, monthly intervals are provided. The IAS extracts contract line item (CLI) data from contracts and stores the CLI data in a CLI database. The IAS transforms the CLI data into a quick view format and generates a contract quick view interface that displays the CLI data. The IAS extracts and segments invoice line item (ILI) data from aggregated BSTID, stores the ILI data in an ILI database, and reconciles the invoices in accordance with the contracts by identifying and rectifying errors and off-contract business service items. The IAS performs IA on the ILI data for computing cost savings and generates an interactive, dynamic, and searchable IA report including graphical data representations of purchase patterns, outliers, variations, and predictive analytics.