Search. Learn. Invest with SmartStocking

Smart Mart is a python application based on the POS of convenient store. this application has 5 functionality. 1. Product Registration it will register a product by Product_number, Product_name, Product_unit_price, Product_description. 2.Individual Billing It will create a billing report from user input of Product_number and Number_of_Units. At the end of the billing, it will include 13% of the tax. 3. Sales Report End of the day it shows the total number of units bought per product and the total sale of products. 4. Shipping Products to store it shows added product to the store after being shipped to the store. 5.Stocking Report this product will show the products that are about to finish. if the product is less than 10 then it shows in the order list.

A Smart Stocking system

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Smart Stocking Decisions for Lahn Inc.

Linear Programming model for a retail grocery store

This repository is a semester project that i created overall through semester in Software Engineering Course in Comsats University Islamabad. This is the front-end of the project.

FreshFuture: An AI platform for predictive stocking, dynamic pricing and smart donations.

AI Smart Supply Chain Management 📦🧠 — A Streamlit-based AI tool that forecasts product demand and optimizes inventory using Facebook Prophet. Helps businesses make data-driven stocking decisions.

A Power BI dashboard analyzing the men's t-shirt market — comparing brands by variety, pricing, profit margins, and sales performance to help buyers, retailers, and category managers make smarter stocking decisions.

Aqua Sense is a smart fish farming assistant that recommends suitable fish, calculates stocking density, suggests feeding schedules, and estimates earnings—helping farmers turn underused ponds into profitable ventures with data-driven guidance.

This project explores skincare product performance across brands, categories, and concerns, using demand signals as a proxy for sales. The goal is to help SKINRAPTURE — a hypothetical skincare retailer, make smarter stocking and restocking decisions.

What this project does Provides insights into which products perform best Predicts sales trends to support smarter stocking decisions Identifies patterns in customer purchasing behavior Helps retailers make data-driven decisions instead of relying on guesswork

A comprehensive analytics platform designed to support data-driven retail growth, site-selection, and inventory planning. It integrates geographic and demographic analysis, competitor mapping, demand-shock simulation, and machine-learning forecasting to help retailers make smarter expansion and stocking decisions.

This project builds a smart software system for perishable or grocery products that predicts demand, simulates how products move through the supply chain, and suggests the best decisions for stocking, pricing, and delivery. Unlike existing tools, it connects predictions directly to actions, helping stores reduce waste and make choices in real time.

Buyzo: Shop Smarter, Live Better. ​Welcome to Buyzo, your all-in-one digital marketplace designed to bridge the gap between "I want it" and "I have it." Whether you're hunting for the latest tech, refreshing your wardrobe, or stocking up on home essentials, Buyzo delivers a seamless, high-speed shopping experience right to your fingertips

The aim of the project was to make an accessory for a conventional fridge by converting it to a smart fridge which can keep track of things kept inside it and display exact amount of inventory inside on an LCD outside. The aim was to track the contents of the fridge by scanning them first and constantly updating a local database for all the addition and the subtractions to the fridge. Trends were studied using the data in the database to be better prepared for future stocking of the fridge. Raspberry Pi was used for the project. It also provided better tracking of products and sales.