Automated Billing Correction System
Developed an LLM-powered system to automate the identification and correction of billing errors, reducing manual processing time by 90%.
Industry
Logistics & Supply Chain
Company Size
Small Business
Location
United Kingdom
Technologies
The Challenge
This Managed Service Provider for IT services in the industry for over 30 years often struggled with billing errors in their customer support invoices. It was common for support engineers to misclassify billable and non-billable hours or miss out on certain charges altogether. The manual review and correction process was time-consuming and prone to human error, leading to delayed, backlogged invoicing and customer dissatisfaction. The client sought an automated solution to streamline the billing correction process, improve accuracy, and reduce the time spent on manual reviews. The solution allowed the client to utilise modern data science techniques to enhance their operational efficiency.
Our Solution
Designed a bespoke LLM workflow to automatically identify and correct billing errors in customer support invoices. The system integrated with existing billing and helpdesk software to streamline the correction process, reducing manual effort and improving accuracy. We implemented a feedback loop to continuously refine the model based on user input, ensuring ongoing improvements in performance.
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