Retail Inventory Analysis Dashboard

Project Overview

This project explores a retail company’s inventory across product categories and regions.
The goal: help managers decide what to stock more of, what to cut back on, and how to allocate resources smarter.

The dataset is fictional but designed to reflect real-world retail challenges.


Why This Matters for Business

Retailers constantly juggle:

  • Too much stock → wasted money & storage space
  • Too little stock → missed sales opportunities

This Tableau dashboard gives procurement and product teams a clear view of what’s selling, what’s stagnating, and where to focus next.


Key Business Insights

1. Top Products Drive Most of the Money

  • Class A items generated over $300K in 2021 revenue.
  • Some Class B products performed nearly as efficiently → growth opportunity.

Action: Increase Class B stock to capture more revenue.


2. Categories Tell Two Stories

  • Home Accessories & Decoration: High revenue, slow movement.
  • Office & School: Low revenue, but high turnover.
  • Jewelry: Weak across the board.

Action: Keep Office & School moving, optimize pricing, reduce Jewelry stock.


3. Regional Focus

  • USA, Canada, and Europe dominate orders.

Action: Focus stocking and marketing in these regions first.


4. Year-over-Year Winners

  • Products like Doughnut Lip Gloss nearly doubled revenue YoY.
  • Demand shifted from Home Accessories → Toys & Edibles.

Action: Double down on trending products.


Final Recommendations

  • Scale Class B products to grow sales.
  • Cut underperformers like Jewelry.
  • Improve pricing/marketing for Office & School.
  • Prioritize USA, Canada, and European markets.
  • Always stock fast-growing products like Doughnut Lip Gloss.

Bottom line: The dashboard helps teams reduce waste, free up cash, and grow revenue.


Wing Li
Wing Li
Data Analyst | Aspiring Data Scientist

Passionate about turning data into insights. Experienced in data analytics, e-commerce market research, and risk modeling. Skilled in Python, SQL, Tableau, and machine learning.