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Sales Forecasting Dashboard

Technologies Used:

  • Backend: PHP / Java / Node.js

  • Frontend: HTML, CSS, Bootstrap, JavaScript (with Chart.js or D3.js)

  • ML Tools: Python (Pandas, Scikit-learn, Prophet, XGBoost)

  • Database: MySQL / PostgreSQL / MongoDB

  • Optional: REST API for real-time sales data sync from ERP or POS systems

Project Objective:

To build an interactive web-based dashboard that uses machine learning to forecast future sales based on historical data, giving businesses insights for inventory, budgeting, and resource planning.

Key Features:

 

  1. Data Upload or Integration Module:

    • Upload CSV/Excel files with historical sales data

    • Or connect via API to ERP / POS for live data sync

  2. Forecasting Engine (ML-based):

    • Predicts future sales (daily, weekly, monthly)

    • Auto-trains models on incoming data

  3. Dynamic Visualization Dashboard:

    • Line charts for sales trends

    • Bar charts for product category sales

    • Region-wise or store-wise heatmaps

  4. Filter & Comparison Tools:

    • View sales by product, region, time period

    • Compare actual vs. predicted

This Course Fee:

₹ 2799 /-

Project includes:
  • Customization Icon Customization Fully
  • Security Icon Security High
  • Speed Icon Performance Fast
  • Updates Icon Future Updates Free
  • Users Icon Total Buyers 500+
  • Support Icon Support Lifetime
Secure Payment:
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