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AI Automation2025

AI Insights & Reporting Dashboard

A data analytics firm wanted to offer predictive insights to their clients but lacked the infrastructure. We built an AI-powered dashboard using Python/FastAPI backend, integrating OpenAI API for natural language summaries, and Power BI for visualizations. The platform now serves 50+ enterprise clients, automating weekly reports and reducing analysts' workload by 70%.

Client

Data Analytics Firm

Year

2025

Category

AI Automation

Technologies Used

PythonFastAPIPower BIOpenAI APIDockerAWS
AI Insights & Reporting Dashboard project image

Project Overview

The client's team spent hours manually compiling data from various sources and writing narrative reports. They needed a way to scale their services without proportionally increasing headcount.

We developed an AI Insights platform:

  • Data Ingestion: Automated ETL pipelines to pull data from client databases, spreadsheets, and APIs into a centralized data warehouse.
  • Predictive Modeling: Time-series forecasting using Prophet and scikit-learn to predict sales, churn, and inventory needs.
  • Natural Language Generation: OpenAI API generates executive summaries, highlighting key trends and anomalies.
  • Interactive Dashboards: Power BI embedded in a web portal, refreshed daily with the latest data.
  • Alerting: Custom rules to detect deviations and send Slack/email notifications.

The system now produces weekly reports for 50+ clients, saving 200+ analyst hours per week. Clients praise the timely insights, and the firm has increased their average contract value by 40% by including AI-driven recommendations.

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