Case Studies & Projects

Explore IntelliVista’s portfolio of data, automation, machine learning, and AI solutions. Each project demonstrates measurable business impact and innovation.

Power BI Retail Sales Dashboard case study - IntelliVista

Retail Sales Performance Dashboard

Business Intelligence

Reduced manual reporting time by 60% and improved category performance tracking across stores.

Power BI | SQL | Excel

View on GitHub →
Marketing Analytics Power BI dashboard case study - IntelliVista

Marketing Campaign Analytics Dashboard

Business Intelligence

Created Power BI dashboards to track campaign ROI and conversion performance across channels.

Power BI | DAX | Excel

View on GitHub →
Automated reporting system case study - IntelliVista

Automated Sales Reporting System

Data Automation

Automated daily KPI reports using Python and Google Sheets API, saving 8+ hours weekly.

Python | SQL | Google Sheets API

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Email automation bot for KPIs case study - IntelliVista

Daily Email Summary Bot for KPIs

Data Automation

Built a Python script that automatically generates and emails daily performance summaries.

Python | Power BI | SMTP API

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IntelliVista AI-powered retail sales forecasting dashboard case study

AI-Powered Retail Sales Forecasting

Machine Learning

Improved forecast accuracy by 30% using LSTM and Prophet models on AWS.

Python | AWS | Power BI

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Customer segmentation model case study - IntelliVista

Customer Segmentation Model

Machine Learning

Identified high-value customer groups using clustering and improved ROI by 3x.

Python | Scikit-learn | Power BI

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New AI report assistant case study - IntelliVista

AI Report Assistant

Agentic AI

Developed a smart assistant that generates data summaries using OpenAI API and LangChain.

LangChain | OpenAI API | Streamlit

View on GitHub →
New Chat-with-your-dashboard app case study - IntelliVista

Chat-with-Your-Dashboard App

Agentic AI

Built an AI-powered chat app that interacts with live dashboards for instant answers.

LangChain | OpenAI | Streamlit

View on GitHub →

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