Automated Revenue Reporting for Hotel Chain

The Challenge

A prominent hotel chain faced significant operational inefficiencies due to manual processing of PDF revenue reports. This consumed over 20 hours of staff time weekly, leading to delays in forecasting and strategic decision-making. They needed a solution to automate this process and provide timely insights.

Our Solution

Ferociter developed an AI-powered automation solution that streamlined the entire revenue reporting and forecasting workflow:

1. Automated PDF Extraction: Leveraging OpenAI's capabilities, we built a system to accurately extract data from complex PDF revenue reports, handling various formats and layouts.
2. Data Processing with N8N: An N8N workflow was designed to orchestrate the data extraction, transformation, and loading processes, ensuring seamless data flow.
3. Forecasting Dashboard: We developed a dynamic dashboard using Python and data visualization libraries to present extracted data and generate revenue forecasts, providing actionable insights for management.
4. TypeScript for Integration: Custom TypeScript components were used for robust integration with the hotel's existing systems and to manage API interactions.

Results & Impact

The solution significantly reduced manual effort, freeing up staff to focus on higher-value tasks. The automated forecasting dashboard provided timely and accurate insights, enabling better strategic planning and operational adjustments.