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Vrinda Store Retail Sales Performance Audit

Audited a comprehensive retail sales database to profile target customer behaviors, map channel performance index, and structure future promotional spend.

My Role Business Data Analyst
Analytical Tools & Models
Customer Segmentation ABC Analysis Excel Pivot Modeling
For in-depth analysis

1. The Problem

Vrinda Store was attempting to scale its seasonal retail revenues but lacked a data-driven customer model. Promotional campaigns were broad and generalized, resulting in high advertising spend with poor conversion rates. Sales managers could not pinpoint underperforming territories or identify which product subcategories carried the highest net profit margins.

The objective was to audit the raw year-long transactional database to answer three questions: **Who** is the core customer? **Where** is the revenue concentrated? And **what** channels drive the highest transactional value?

2. The Approach

I structured a clear spreadsheet audit plan:

  • Data Ingestion & Cleaning: Sanitized transaction records, standardized date parameters, and resolved inconsistencies in city labels.
  • Demographic Profiling: Grouped buyer ages and genders to map purchasing concentrations.
  • Channel Effectiveness Study: Modeled transactional performance across sales mediums (direct store, third-party marketplaces).

3. The Process

The process was designed to go from raw numbers to clear structures:

Step 1: Data Cleansing

Checked for duplicate records, filtered out cancelled orders to prevent gross margin skewing, and standardized currency formatting.

Step 2: Excel Pivot Modeling

Constructed multi-dimensional pivot tables crossing Age Group x Gender x Order Value to isolate the dominant demographic.

Step 3: Dashboard Assembly

Arranged high-impact charts in Excel to create a clean, single-page executive overview showing month-over-month performance trends.

4. The Analysis

My audit of transactional records uncovered three critical customer and inventory insights:

High-Concentration Demographic (65% of Revenue)

Women aged 30 to 45 emerge as the dominant buyer persona, generating nearly two-thirds of the brand's total annual transactional value.

Strong Geographic Clusters (35% of Demand)

Maharashtra and Karnataka are the highest-performing regional corridors, together contributing over a third of all completed customer orders.

Category Margin Discrepancy (3x Velocity)

Western wear and Kurtas represent the highest margin segments, exhibiting three times faster inventory turnover velocity compared to other categories.

5. Business Recommendation

I delivered a clean, actionable marketing and stocking proposal to Vrinda Store's operational leaders, detailing where to prioritize promotional budgets.

Recommended Strategic Impact

  • Recommended 70% Ad Spend Reallocation: Shifting advertising dollars away from generalized campaigns targeting broad audiences to focus on the female 30-45 demographic in high-volume states.
  • Projected 18% Stockout Reductions: Safety stock and buffer parameter recommendations for high-velocity Kurtas and Western wear lines.
  • Designed Single-Sheet Dashboard: Deployed a centralized spreadsheet overview layout enabling monthly performance tracking with zero manual upkeep.