Product Recommendation and Space Optimization System for Small Businesses

Overview

This project is designed to support small businesses in two major areas:

1. Product Recommendation – Suggesting products likely to perform well based on historical sales data.
2. Space Optimization – Improving shelf and store layout based on item dimensions and layout constraints.

By combining intelligent algorithms and a user-friendly interface, the system helps shopkeepers improve sales and space utilization without needing deep technical knowledge.

---

Features

• Product Recommendation Engine
  Uses past sales trends to recommend the most effective product inventory for different store types.

• Space Optimization Module
  Suggests how to arrange products efficiently within the constraints of your physical store layout.

• User Dashboard
  Web-based interface for uploading data, viewing reports, and adjusting parameters.

• Visual Insights
  Displays optimization suggestions and recommendations clearly using charts and tables.

---

Installation

Step 1: Clone the Repository

git clone https://github.com/aparna534/Product-Recommendation-and-Space-Optimization-System-for-Small-Businesses.git
cd Product-Recommendation-and-Space-Optimization-System-for-Small-Businesses

***Set Up Virtual Environment***

Set up a Python virtual environment to isolate dependencies:

Step 2: Set Up Virtual Environment

python -m venv env
source env/bin/activate
 Windows: env\Scripts\activate

Step 3: Install Dependencies

pip install -r requirements.txt

USAGE

Prepare Your Data Ensure the following files are placed in the data/ folder:

sales_data.csv – Historical sales records (SKU, sales count, category, etc.)

product_dimensions.csv – Dimensions of each product (width, height, depth)

store_layout.json – Store layout metadata (aisle sizes, shelf structure)

Run the Application

python main.py