Sheetz.Reta.001 Sheetz.Reta.001

Context

Introduction

In a competitive, data-rich retail landscape, modern analytics empower companies to make rapid, evidence-based decisions for inventory, marketing, and customer engagement.

Role

• The learner assumes the role of a Retail Business Analyst in DigiRetail’s merchandising and demand-planning team. • They are responsible for exploring historical sales data, segmenting product performance, and generating recommendations for inventory allocation and promotional strategies.

Business Objectives

• The task is to identify top-performing products, forecast seasonal demand, and prioritize inventory across store types and channels. • The learner’s experience with sales metrics, trend analysis, and dashboard reporting qualifies them to translate data into actionable retail strategies.

Products

• The deliverables include an interactive dashboard highlighting product performance, demand forecasts, and inventory recommendations. • This product communicates success by equipping merchandisers and planners with actionable intelligence to guide decisions and align execution with strategic priorities.

Codebook

Within the Excel Sheet, there are 3 Tabs – Stores, Features and Sales

Dataset

License

Tags

Data Provenance

Collected from a real-world online retailer over a given period; publicly shared on Kaggle by Manjeet Singh for educational and analytical use.