Sales & Inventory Optimization for a Multi-Store Retailer

45%

Reduction in Stockouts

22%

Increase In Profits

8 hours

Saved every week

30%

Reduction in Dead Stock

100%

Visibility Across All Stores

Client Overview

A mid-sized apparel retailer operating 5 stores in the UAE struggled with scattered data, manual reporting, and poor visibility of daily sales and inventory levels. Their data was spread across POS systems, Excel sheets, and supplier invoices, making decision-making slow and inaccurate.

Business Challenges

The retailer approached us with several pain points:

1. No centralized sales & inventory visibility

  • Each store sent daily reports in Excel.

  • Management waited until month-end to understand performance trends.

2. Frequent stockouts & overstocking

  • Store managers placed orders based on gut feeling.
  • Some items ran out early while others stayed unsold for months.


3. No product-level profitability insights

  • Discounts and supplier pricing were not tracked properly.
  • They didn’t know which SKUs were profitable

4. Manual reporting was slow

  • It took 8–10 hours every week to manually clean data.
  • Numbers often contained errors.

Our Solution

We built a complete Power BI Sales & Inventory Management Dashboard using their POS data, Excel files, and supplier information.

Sales & Profitability Tracking

Dashboard included KPIs:

  • Daily / Weekly / Monthly Sales
  • Store-wise Performance
  • Top / Bottom Selling Products
  • Gross Profit & Margin %
  • Discount Impact on Profit
  • Salesperson Performance

Inventory Intelligence

Build:

  • Reorder point automation
  • Low-stock alerts by store
  • ABC product classification
  • Slow-moving inventory dashboard
  • Stock age analysis (0–30, 30–60, 60–90 days)

Data Integration

  • Connected POS exports, stock sheets, and purchase invoices.
  • Created a centralized data model hosted on Azure SQL.
  • Set up scheduled refreshes every 4 hours.

Forecasting & Predictive Insights

Created Power BI forecasting visuals for:

  • Demand prediction
  • Store traffic trends
  • Seasonal product performance

Results Achieved

We built a complete Power BI Sales & Inventory Management Dashboard using their POS data, Excel files, and supplier information.

45% Reduction in Stockouts

Low-stock alerts helped managers restock before items ran out.

22% Increase in Profit

Profitability dashboard identified high-discount/low-margin products.

8 hours saved every week

Manual Excel consolidation eliminated.

30% Reduction in Dead Stock

ABC analysis and slow-moving reports guided better purchasing.

100% Visibility Across All Stores

Management could monitor performance in real-time from the dashboard.

Client’s Testimonial

We were running the business blind. The new dashboards give us complete visibility across stores. Decision-making is faster, and our profits have improved significantly.

Retail Operations Manager
Name Reviewer:

Retail Operations Manager

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