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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.
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
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
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
Business Intelligence Case Study: FMCG & Electronics – Seasonal Sales Analysis / Případová studie Business Intelligence: FMCG a elektronika – sezónní analýza prodejů
A data engineering solution transforming raw retail sales data for Bidco Africa into actionable KPIs: Data Health Score, Promotional Uplift and Competitive Pricing Index.
Dealer Clustering for FMCG companies to enable cluster and rank dealers based on Sales, forecast accuracy and payment parameters. Model uses SciKit learn packages
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 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. 🚀
End-to-end Excel VBA data model for evaluating price elasticity, promotion lift, and sales performance. Automates data preparation and integration, calendar mapping, KPI computation, and scenario simulations for FMCG analysis.