Chat Data Analysis and Sales Insights Platform by Syed Fatik Islam

Chat Data Analysis and Sales Insights Platform

Syed Fatik Islam

Data Scientist

ML Engineer

Web Developer

Dash Plotly

pandas

spaCy

Project Description

The Chat Analysis Dashboard is a comprehensive tool designed to analyze customer interactions, sales data, and supplier performance across multiple platforms, including Instagram, TikTok, and Shopify. By leveraging advanced data processing, NLP techniques, and interactive visualizations, this project provides actionable insights to optimize business operations, enhance customer satisfaction, and improve supplier relationships. The system uses Python, Flask, and Plotly for backend processing and data visualization, alongside SQLite for data storage.

Key Features

Data Integration: ETL processes extract and transform data from diverse sources, including JSON, CSV, and database files.

Content Analysis: NLP-powered content categorization identifies issues like pricing concerns, communication gaps, and product availability.

Sales Insights: Visualizes sales trends, revenue growth, and product performance metrics.

Supplier Monitoring: Tracks credit/debit transactions and evaluates supplier contributions to business efficiency.

User Interface: Provides an intuitive, responsive dashboard for exploring analysis results and managing operations.

Instagram Chat Analysis web based Dashboard

Tiktok Chat Analysis Web based Dashboard

Shopify Sales Analysis Web based Dashboard

Key Objectives

Centralized Data Analysis:

Integrate data from Instagram, TikTok, and Shopify into a unified platform.

Enable seamless exploration and analysis of customer interactions, sales data, and supplier metrics.

Customer Interaction Insights:

Identify key reasons for customer dissatisfaction, such as communication delays or pricing issues.

Use sentiment analysis to gauge customer feedback and sentiment trends.

Sales and Product Performance:

Analyze monthly sales trends, cumulative revenue growth, and product performance.

Provide forecasts using machine learning models like linear regression.

Supplier Relationship Optimization:

Monitor supplier transactions for insights into credit and debit activities.

Evaluate supplier efficiency to strengthen business partnerships.

Interactive Visualizations:

Deliver actionable insights through interactive charts and graphs using Plotly.

Allow users to filter and explore data by date range, platform, and customer.

User-Friendly Design:

Build a responsive web interface for ease of use across devices.

Ensure secure user authentication and role-based access control.

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Posted Dec 23, 2024

Developed a chat analysis platform to analyze customer interactions, identify sales trends, and improve engagement using Python, Flask, and data visualization.

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