https://github.com/dho-rae/ecommerce-pricing-strategy
This project develops an algorithm for an e-commerce retailer to dynamically adjust product prices in response to competitor pricing. By simulating the impact of price adjustments, the system recommends whether to change, maintain, or optimise pricing strategies to maximise profitability. This project was developed for a C++ programming course.
https://github.com/dho-rae/ecommerce-pricing-strategy
business-intelligence cpp data-processing ecommerce pricing-algorithms profit-maximization university-project
Last synced: over 1 year ago
JSON representation
This project develops an algorithm for an e-commerce retailer to dynamically adjust product prices in response to competitor pricing. By simulating the impact of price adjustments, the system recommends whether to change, maintain, or optimise pricing strategies to maximise profitability. This project was developed for a C++ programming course.
- Host: GitHub
- URL: https://github.com/dho-rae/ecommerce-pricing-strategy
- Owner: dho-rae
- Created: 2025-03-06T21:23:36.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-10T00:49:05.000Z (over 1 year ago)
- Last Synced: 2025-03-10T01:50:48.863Z (over 1 year ago)
- Topics: business-intelligence, cpp, data-processing, ecommerce, pricing-algorithms, profit-maximization, university-project
- Language: C++
- Homepage:
- Size: 14.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Competitive Pricing Analysis
## Overview
This project implements a **competitive pricing analysis system** for an online retailer to dynamically adjust product prices based on competitor pricing and internal profitability metrics. The program analyses various factors, including:
- **Quantity sold** over a given period
- **Shipping costs**
- **Profit margin (GCBM - Gross Contribution Before Marketing)**
- **Competitor prices**
Using these parameters, the system evaluates whether adjusting the price to match competitors would be beneficial, assuming sales volume remains constant. The program then **proposes a price change** (or none, if not required).
## Features
- Parses competitor price data and internal sales records
- Computes profit margins under current and competitor pricing
- Evaluates pricing adjustments without impacting sales volume
- Suggests price changes based on profitability assessment
## Class Structure
### **1. ProductData** (`productData.hpp`, `productData.cpp`)
Handles the internal pricing and sales data for each product, including:
- Storing product details (ID, name, price, quantity sold)
- Calculating the **Gross Contribution Before Marketing (GCBM)**
### **2. CompetitorProductData** (`competitorProductData.hpp`, `competitorProductData.cpp`)
Manages external pricing data, including:
- Competitor prices for the same product
- Evaluation of pricing adjustments
### **3. Main Application** (`main.cpp`)
- Reads input data
- Computes profitability under different pricing strategies
- Displays **recommended price adjustments**
## Installation & Usage
### **1. Compile the Program**
```bash
g++ -o pricing_analysis main.cpp productData.cpp competitorProductData.cpp
```
### **2. Run the Program**
```bash
./pricing_analysis
```
### **3. Sample Output**
```
Product: Designer Handbag
Current Price: $1200
Competitor Price: $1100
Suggested Price Adjustment: Reduce to $1150 to stay competitive
```