Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity

This repository contains the implementation of a facings identifier using YOLOv8 and image embeddings. The goal of this project is to count the number of facings (product instances) of each product present on shelves in a retail store using computer vision techniques.

This was a Challenge put up by a famous YouTuber Codebasics and he provided all the datasets. This time no mock up was provided. Instead we got a conversation between the stakeholders of the company with their Data Analyst. From that conversation we had to figure out the requirements needed to solve the supply chain problem.

Example codes about how to use Veryfi Lens SDKs

This project is a data analysis and visualization effort aimed at generating insights to address supply chain issues in the Fast-Moving Consumer Goods (FMCG) domain. Leveraging synthetic data provided by the Codebasics Resume Project Challenge, the analysis delves into key metrics such as On-time Delivery %, In-full Delivery %, OTIF%I

A tool for scraping and analyzing FMCG product data for market research and modeling

This repository presents a real-world Make-To-Stock (MTS) supply chain issue in an FMCG retail environment.

Through this FMCG Sales Exploratory Data Analysis (EDA) project, we aim to provide actionable insights that can drive business decision-making and enhance performance within the FMCG industry

This repository represents additional control charts, various plans and variables that are used within the chart scope using Minitab software

SQL data analysis project comparing FMCG store performance, currencies, discounts, and purchasing behavior across CZ and SK / Projekt SQL analýzy dat: porovnání výkonu FMCG obchodů, měn, slev a nákupního chování v ČR a SR

This Power BI dashboard analyzes sales performance during Diwali and Sankranti festivals. It provides insights into revenue trends, top-selling products, regional sales distribution, and customer purchasing behavior to help optimize festive season sales strategies. 🚀

An adaptive selector for short-term forecasting of multiple time series. For each time series, it finds the best method from a pool of candidates based on their past performance.

This report highlights the financial aspects of Atliq Hardware and track there performance .

Dealer Clustering for FMCG companies to enable cluster and rank dealers based on Sales, forecast accuracy and payment parameters. Model uses SciKit learn packages

Business Intelligence Case Study: FMCG & Electronics – Seasonal Sales Analysis / Případová studie Business Intelligence: FMCG a elektronika – sezónní analýza prodejů

Worked with real-world FMCG data in the baby care segment to derive structured reports, giving decision-makers the flexibility to analyze performance.

Data Analysis of FMCG Products in Iran using Python & Power BI

A supply chain data Analysis project which analyses the service levels received by the customers of Amana Foods in order to improve them.

End-to-end Deep Learning (TFT) demand forecasting system for Retail/FMCG with automated MLOps pipeline on Google Cloud (Vertex AI) for inventory optimization. Demonstrates advanced time series modeling, feature engineering, explainability (SHAP), and scalable deployment.

In the heart of Gujarat, AtliQ Mart, a rising star among FMCG manufacturers, had its sights set on a grand horizon of growth. With a firm foothold in Surat, Ahmedabad, and Vadodara, the company harbored ambitions to spread its reach across new metropolises and Tier 1 cities within the next two years. Now i analyzed this dataset using Python.