A company in the energy sector spent days preparing weekly market reports. Data collection, chart creation, analysis, commentary. A repetitive process that took valuable time away from strategic activities.
Boosha has developed an AI assistant that automates this process. From data sharing to full reporting in minutes.
The initial situation
The company was running a complex and time-consuming reporting process. Hours were needed each week for:
- Collect data from the energy market
- Creating graphs and visualizations
- Analyzing trends
- Writing interpretive comments
- Making operational suggestions
The goal was twofold: to drastically reduce the time required and to improve the quality of the reports produced. Turn data into useful information for quick decisions.
The implemented solution
We developed an AI assistant that optimizes the process in two steps:
Automatic conversion of data to graphs
Wizard receives data and automatically converts it into clear visualizations. Graphs price trends, volumes, historical comparisons. All generated in seconds.
Before: an analyst would spend 2-3 hours creating graphs in Excel. After: the assistant generates all charts in minutes. Analyst revises and customizes as needed.
Generation of comments and suggestions
The assistant analyzes data and produces contextualized textual comments. It identifies significant trends, highlights anomalies, and suggests areas for attention.
Concrete example: if the price of electricity increases by 15% in one week, the assistant does more than just show the figure. It explains the context, compares with similar past periods, suggests implications for operational decisions.
How it works in practice
Each week, the process is simple:
- The user uploads weekly energy market data to the interface
- The assistant analyzes the data, creates graphs and generates the draft report
- User reviews, adds specific considerations as needed
- The report is ready for distribution
The interface is intuitive. No special technical skills are needed. Load the data, the wizard does the rest.
I risultati misurabili
Time saved
Before implementation: 6-8 hours per weekly report. After: 1-2 hours including review and customization.
Savings: 5-6 hours per week. On an annual basis, about 300 hours freed up for higher-value activities.
Improved quality
Reports are more complete and consistent. The assistant never forgets to analyze an important indicator. It maintains the same level of quality even under time pressure.
Analysts focus on strategic interpretations rather than repetitive operations. The result is reports that are richer in useful insights.
Standardization of processes
Before, the quality depended a lot on who prepared the report. With the AI assistant, there is a standard basis that is always guaranteed. Then each analyst adds his or her own specific expertise.
How the team interacts with the assistant
Daily use is simple:
- Upload data in various formats (Excel, CSV, PDF)
- Make specific requests: “Analyze price trends over the past week” or “Compare with the same period last year”
- Receive structured reports ready to be distributed internally or to clients
Communication is through a web interface accessible from any device. No complex software to install or configure.
Why it works
The AI assistant does not replace the skills of analysts. It enhances them.
Automates the repetitive part: data collection, charting, identifying obvious patterns. Analysts focus on what requires human judgment: contextual interpretations, strategic assessments, experience-based recommendations.
The result is a more productive team that produces higher quality analyses in less time.
Applicable to other contexts
This solution works for any process that requires:
- Regular analysis of structured data
- Creation of recurring reports
- Standard views to be updated periodically
- Interpretive comments based on identifiable trends
Sectors that can benefit: finance, sales, production, logistics, marketing.
The logic is always the same: automate the repetitive, free up time for the strategic.
Want to understand how to apply this solution to your reporting processes? Let’s talk about it in a 15-minute call.