📌 Overview
-Quick-commerce businesses operate in highly dynamic environments where product pricing, inventory availability, and delivery efficiency directly impact customer satisfaction and business performance.
-This project simulates a Product Analytics and Operations Intelligence Platform designed to optimize pricing decisions, monitor order fulfillment, identify inventory risks, and improve operational efficiency using SQL and Power BI.
-The solution provides stakeholders with real-time visibility into demand patterns, inventory health, pricing opportunities, and delivery performance to support data-driven decision-making.
🎯 Business Problem
Quick-commerce platforms face multiple operational challenges:
-Static pricing strategies reduce competitiveness. -Stock shortages lead to lost sales opportunities. -Delivery delays negatively impact customer experience. -Lack of operational visibility slows decision-making. -Demand fluctuations create inventory imbalances.
The goal of this project is to create a centralized analytics platform that helps business teams monitor key operational metrics and identify optimization opportunities.
🚀 Project Objectives -Monitor product demand and inventory levels. -Identify products at risk of stockouts. -Analyze order fulfillment performance. -Track delivery efficiency and delays. -Support dynamic pricing decisions. -Improve operational visibility through dashboards.
Dataset Product Dataset
Contains product-level information:
-Product ID -Product Name -Category -Current Price -Inventory -Daily Demand -Order Dataset
Contains operational order information:-
-Order ID -Customer -Product ID -Order Time -ETA (Minutes) -Current Status -Assigned Rider -Competitor Pricing Dataset
Contains market pricing information:
Product ID -Competitor Name -Competitor Price -Price Difference
Tools & Technologies -Power BI -SQL -Power Query -DAX -Excel
Dashboard Features -Executive Summary
Provides a high-level overview of business performance.
-KPIs -Total Orders -Total Products -Average ETA -Delayed Orders -Inventory Health -Demand Overview -Inventory Intelligence
Tracks inventory-related insights:
-Inventory Levels -Stock Coverage Analysis -Low Stock Products -Stockout Risk Identification -Category-wise Inventory Distribution -Order Operations Monitoring
Monitors delivery and fulfillment performance:
-Order Status Distribution -Delayed Orders Analysis -ETA Monitoring -Rider Allocation Overview -Fulfillment Efficiency -Pricing Intelligence
Analyzes pricing opportunities:
-Competitor Price Comparison -Demand vs Price Analysis -Category Price Trends -Pricing Optimization Opportunities
Key Business Metrics -Inventory Metrics -Current Inventory -Daily Demand -Inventory Coverage Days -Stockout Risk % -Operations Metrics -Total Orders -Completed Orders -Delayed Orders -Average Delivery ETA -Fulfillment Rate -Pricing Metrics -Average Product Price -Competitor Price Gap -Demand-to-Price Ratio -Pricing Opportunity Index
Business Insights Generated -Products likely to face stock shortages. -Categories requiring replenishment. -Delivery bottlenecks affecting customer experience. -High-demand products suitable for pricing optimization. -Operational inefficiencies impacting fulfillment performance.
Dashboard Preview
-Executive Summary Dashboard
-Inventory Intelligence Dashboard
-Order Operations Dashboard
-Pricing Intelligence Dashboard
Repository Structure Dynamic-Pricing-Order-Operations-Platform │ ├── Dataset │ ├── Product_raw.csv │ ├── Order_raw.csv │ └── competitor_prices_raw.csv │ ├── SQL │ └── Quick_Commerce_Project.sql │ ├── PowerBI │ └── Quick_Commerce_Dashboard.pbix │ ├── Images │ ├── executive_summary.png │ ├── inventory_dashboard.png │ ├── operations_dashboard.png │ └── pricing_dashboard.png │ └── README.md
Product Management Perspective
This project demonstrates:
Product Analytics -KPI Definition & Monitoring -Business Problem Solving -Operational Decision-Making -Data-Driven Prioritization -Stakeholder Reporting -Inventory Optimization -Pricing Strategy Analysis
Future Enhancements -Real-Time Inventory Monitoring -Automated Dynamic Pricing Engine -Demand Forecasting Models -Inventory Replenishment Recommendations -Route Optimization Analytics -Customer Retention Insights
Key Skills Demonstrated -Product Management -Product Analytics -KPI Framework Design -Business Analysis -Data-Driven Decision Making -Stakeholder Communication -Analytics -SQL -Power BI -DAX -Data Modeling -Dashboard Development -Domain Knowledge -Quick Commerce -Inventory Management -Dynamic Pricing -Order Operations -Supply Chain Analytics
📬 Contact Krishna Rathi LinkedIn: www.linkedin.com/in/rathi-krishnaa Email: krishnarathi08110@gmail.com
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