This project is an interactive Excel dashboard analyzing Vrinda Storeβs retail performance across:
- sales trends
- customer demographics
- order outcomes
- sales channels
The dashboard is designed to support practical business decisions in:
- inventory planning
- marketing focus
- channel strategy
- fulfilment performance
It mirrors the type of analysis used by retail analysts, category managers, and operations teams.
Retail data is often fragmented across platforms and reports.
This project demonstrates how to:
- consolidate performance metrics into a single view
- identify demand patterns and customer segments
- surface fulfilment and return risks
- present insights in a stakeholder-friendly format
The focus is clarity and actionability, not raw data volume.
- Monthly view of order volume vs revenue
- Identifies seasonality and demand fluctuations
- Gender split:
- Women: 61%
- Men: 39%
- Age groups:
- Adults: 53.1%
- Seniors: 33.8%
- Teenagers: 13.1%
- Enables targeted marketing and assortment decisions
- Delivered: 53%
- Returned: 25%
- Refunded: 12%
- Cancelled: 10%
Highlights fulfilment efficiency and post-sale risk.
- Top states by sales:
- Uttar Pradesh
- Telangana
- Tamil Nadu
- Maharashtra
- Karnataka
Supports regional inventory and logistics planning.
- Amazon: 41%
- Flipkart: 32%
- Meesho: 27%
Enables channel-level revenue and dependency analysis.
The Excel dashboard includes:
- Pivot tables for dynamic aggregation
- Slicers for quick segmentation
- Clear visual hierarchy for fast interpretation
- Separation of raw data, calculations, and visuals
The layout is optimised for non-technical stakeholders.
- Microsoft Excel
- Pivot tables
- Slicers
- Charts & visual formatting
- Data cleaning & segmentation
- Retail KPI design
- Visual storytelling
- π Vrinda Store Data Analysis.xlsx
Interactive Excel dashboard with slicers and charts
Recommended: Use Excel Desktop for best performance and full interactivity.
- Time-series forecasting for demand
- Margin and profitability analysis
- Return-rate drivers by product or region
- Migration to Power BI or SAP Analytics Cloud
- Integration with live order data