Skip to content

Interactive Streamlit Dashboard for analyzing KSH Overtime (OT) data with filters, summaries, and visual insights.

Notifications You must be signed in to change notification settings

Jaykumar-Kale/KSH-SmartOps-Warehouse-Operations-Intelligence-Dashboard

Repository files navigation

KSH SmartOps – Interactive Warehouse Dashboard

Overview

During my internship at KSH Group, warehouse operational data such as overtime (OT), complaints, approvals, and customer-wise activity was being tracked using Excel-based dashboards. While functional, these reports were manual, static, and difficult to scale or analyze efficiently.

This project focuses on converting those Excel reports into an interactive dashboard that provides clear visibility into warehouse operations and supports faster, data-driven decision-making.


Problem at KSH

  • Operational data was maintained in multiple Excel files
  • Reports were static and required manual effort to update
  • Limited ability to filter, drill down, or analyze trends
  • Difficult to generate consistent managerial reports
  • Not suitable for scaling across multiple warehouses

Why Excel Was Not Enough

Excel worked for basic reporting but had limitations:

  • No interactive filtering or dynamic visualizations
  • High dependency on individuals to maintain reports
  • Time-consuming report preparation
  • Not designed for real-time insights or automation
  • Limited scope for future system integration

What I Built

I developed a web-based interactive dashboard that allows warehouse data to be uploaded from Excel and instantly converted into meaningful insights.

The dashboard includes:

  • Excel file upload with validation
  • Warehouse-wise, customer-wise, and contractor-wise filtering
  • Overtime hours and cost analysis
  • Complaint and approval trend visualization
  • Interactive charts for operational insights
  • One-click export of filtered data and PDF manager reports

This solution was built as a Proof of Concept (PoC) aligned with real warehouse requirements discussed during the internship.


How It Helps Warehouse Managers

  • Reduces manual effort in report preparation
  • Provides clear visibility into OT cost and operational trends
  • Enables faster decision-making using interactive insights
  • Generates ready-to-share PDF reports for management
  • Acts as a foundation for future digital automation

What I Learned

  • Understanding real-world warehouse operations and data flows
  • Converting business requirements into a working technical solution
  • Handling and cleaning real operational data
  • Designing dashboards with usability in mind
  • Building an authentic, explainable internship project

Tech Stack

  • Python
  • Streamlit
  • Pandas
  • Plotly
  • FPDF

Internship Context

This project was developed during my Operations Internship at KSH Group, Pune, based on actual warehouse workflows and existing Excel-based reporting systems.

About

Interactive Streamlit Dashboard for analyzing KSH Overtime (OT) data with filters, summaries, and visual insights.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages