Case Study: How a Retail Company Increased Revenue with BI Consulting

Case Study: How a Retail Company Increased Revenue with BI Consulting

Case Study: How a Retail Company Increased Revenue with BI Consulting

In the competitive world of retail, margins are thin, customer loyalty is fragile, and market conditions can change overnight. Modern retailers sit on vast amounts of data, but simply having data doesn’t guarantee business success. The challenge lies in turning that data into clear, actionable insights that drive growth.

In the competitive world of retail, margins are thin, customer loyalty is fragile, and market conditions can change overnight. Modern retailers sit on vast amounts of data, but simply having data doesn’t guarantee business success. The challenge lies in turning that data into clear, actionable insights that drive growth.

In the competitive world of retail, margins are thin, customer loyalty is fragile, and market conditions can change overnight. Modern retailers sit on vast amounts of data, but simply having data doesn’t guarantee business success. The challenge lies in turning that data into clear, actionable insights that drive growth.

Oct 21, 2025

Oct 21, 2025

Oct 21, 2025

This is where Business Intelligence (BI) consulting can make a game-changing difference. In this case study, we’ll explore how MetroMart, a mid-sized retail chain, partnered with a BI consulting firm to increase its annual revenue by 18% in just 12 months.

We’ll break down:

  • The challenges MetroMart faced

  • The BI consulting approach

  • The integration of Power BI and other tools

  • Key results and ROI

  • Lessons that can be applied to any retail business

The Background: MetroMart’s Position in the Market

MetroMart operated 42 brick-and-mortar stores across three states and had a growing eCommerce platform. While sales were steady, growth had plateaued for the last three years.

Key facts before BI consulting intervention:

  • Annual revenue: $120M

  • eCommerce share: 18% of total sales

  • Average monthly footfall decline: 3% year-over-year

  • Customer churn rate: 24% annually

  • Data spread across: ERP, POS systems, CRM, inventory management, and eCommerce platform

The leadership team knew they were making important decisions based on incomplete or outdated data. Marketing campaigns weren’t targeted, inventory management was reactive rather than proactive, and store managers lacked real-time performance visibility.

The Challenges

1. Data Silos Across Systems

Sales data lived in the POS system, inventory was tracked in a separate ERP, customer loyalty data in a CRM, and online transactions in the eCommerce backend. No single view existed.

2. Poor Inventory Forecasting

Some stores faced overstock situations leading to markdown losses, while others frequently ran out of high-demand items.

3. Ineffective Marketing Spend

Marketing campaigns were designed based on gut feel and generic demographics, not actual behavioral insights.

4. Limited Performance Visibility for Managers

Store managers could only access monthly performance reports — too late to act on real-time trends.

The BI Consulting Approach

The retail chain engaged ABC Consulting, a BI firm specializing in retail analytics with a strong focus on Microsoft Power BI integrations.

Step 1: Discovery & Data Audit

The consulting team conducted a 4-week audit of MetroMart’s systems. They assessed:

  • Data sources and formats

  • Data quality and completeness

  • Business KPIs currently being tracked

  • Stakeholder decision-making workflows

They discovered 14 different data sources and inconsistencies in SKU naming conventions between the ERP and eCommerce platform.

Step 2: Data Integration & Warehousing

ABC implemented a cloud-based data warehouse to unify data streams from:

  • POS terminals

  • ERP system (SAP Business One)

  • CRM (Salesforce)

  • eCommerce backend (Shopify)

  • Marketing automation tool (HubSpot)

Data was cleaned, deduplicated, and standardized. Historical data for the last 5 years was migrated to enable trend analysis.

Step 3: Power BI Dashboard Development

The consulting team built role-based Power BI dashboards:

For Executives:

  • Company-wide sales trends

  • Revenue by region, channel, and category

  • Profitability analysis

  • Customer acquisition vs. retention metrics

For Store Managers:

  • Real-time daily sales against targets

  • Inventory alerts for low or excess stock

  • Staff performance metrics

  • Footfall vs. conversion rate analysis

For Marketing Team:

  • Campaign ROI analysis

  • Customer segmentation by purchase behavior

  • Cross-sell and upsell opportunity identification

Step 4: Advanced Analytics Integration

They embedded predictive analytics models into Power BI to forecast:

  • Demand for key SKUs during seasonal periods

  • Store-level foot traffic based on historical patterns and external factors like weather

  • Likelihood of customer churn

Step 5: Training & Change Management

A major part of BI consulting success comes from adoption. ABC Consulting conducted:

  • 6 on-site training workshops

  • “Dashboard champion” program — one power user per store trained deeply to support others

  • Weekly Q&A sessions during the first 90 days post-launch

The Results

Within 12 months of implementing BI consulting solutions, MetroMart saw:

  • Revenue growth: +18% year-over-year

  • Marketing ROI: +27% improvement by reallocating budget to high-yield customer segments

  • Inventory carrying costs: Reduced by 15% through better forecasting

  • Stockouts: Down by 32%, improving customer satisfaction

  • Churn rate: Dropped from 24% to 18% due to targeted loyalty campaigns

ROI Analysis

The total BI consulting project cost $320,000 over 8 months (including software, consulting, training, and integration). The first-year revenue uplift of $21.6M and cost savings of $2.4M from reduced markdowns and better inventory meant a payback period of less than 3 months.

Lessons for Other Retailers

1. Data integration is non-negotiable. Without a unified view, decisions will always be reactive.

2. Dashboards must be role-specific. Store managers don’t need the same KPIs as executives.

3. Predictive analytics can turn inventory from a cost center into a revenue driver.

4. Change management ensures adoption. Tools are only as effective as the people using them.

MetroMart’s journey shows that BI consulting, when done right, is not just about dashboards — it’s about creating a data-driven decision-making culture that directly impacts the bottom line. For businesses looking to improve profitability, integrating Power BI with a robust data strategy is one of the smartest moves they can make in 2025 and beyond.

Kozker Tech

Kozker Tech

Kozker Tech

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Start Your Data Transformation Today

Book a free 60-minute strategy session. We'll assess your current state, discuss your objectives, and map a clear path forward—no sales pressure, just valuable insights

Copyright Kozker. All right reserved.

Start Your Data Transformation Today

Book a free 60-minute strategy session. We'll assess your current state, discuss your objectives, and map a clear path forward—no sales pressure, just valuable insights

Copyright Kozker. All right reserved.