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Context

Introduction

The retail industry faces increasing pressure to optimize supply chains amid shifting consumer spending and growing demand for faster delivery. Target Corporation, a leading U.S. retailer, is investing heavily in expanding regional distribution centers to improve grocery supply chain efficiency and better serve customers.

Role

The learner acts as a Supply Chain Data Analyst at Target, tasked with improving regional supply chain responsiveness and efficiency. They analyze sales trends and delivery performance across regions to identify bottlenecks and opportunities for better inventory allocation.

Business Objectives

The objective is to identify supply chain inefficiencies and recommend strategic adjustments in inventory and distribution to reduce delivery delays and costs. The learner’s skills in analyzing sales and logistical data prepare them to pinpoint underperforming regions and products.

Products

The primary product is a Regional Supply Chain Performance Dashboard summarizing sales trends, delivery metrics, and inventory status by location. This dashboard visually communicates key insights enabling supply chain managers to make informed decisions on resource allocation and logistics planning.

Codebook

The provided supply chain analysis dataset contains various columns that capture important information related to the company's order and distribution processes:• OrderNumber• Sales Channel• WarehouseCode• ProcuredDate• CurrencyCode• OrderDate• ShipDate• DeliveryDate• SalesTeamID• CustomerID• StoreID• ProductID• Order Quantity• Discount Applied• Unit Cost• Unit Price

Dataset

rdso.DatasetLocation.None

License

Not Provided

Tags

  • CSV

Data Provenance

US_Regional_Sales_Data - https://www.kaggle.com/datasets/dorothyjoel/us-regional-sales