What is Retail Analytics?

Retail Analytics is the practice of using data to understand customer behavior, optimize product performance, and improve store operations. At Insight Mantra, we help retail businesses turn their raw sales, inventory, and customer data into strategic insights that increase profitability and drive better decisions.

We focus on four major types of analytics that serve different stages of your business decision-making:

Descriptive Analytics

This answers the question: “What happened?”

We look into your retail history, such as:

• Track product-wise and category-wise sales.
• Monitor store or channel performance.
• Analyze customer footfall and seasonal trends.

Diagnostic Analytics

This goes deeper to ask: “Why did it happen?”

By examining causes behind the trends

• Identify underperforming products or stores.
• Analyze promotions and their impact on sales.
• Evaluate pricing effectiveness and customer churn.

Predictive Analytics

What will happen next?

• Forecast demand for upcoming seasons.
• Predict stockouts or overstock situations.
• Identify high-potential products based on purchase patterns.

Prescriptive Analytics

What should you do about it?

This is where you get recommendations:

• Recommend inventory redistribution to avoid losses.
• Guide pricing or bundling strategies.
• Suggest loyalty programs or offers to target specific customer groups.

What are the Benefits of Retail Analytics?

Better Sales Planning

• Increase revenue by identifying bestsellers and underperformers.
• Align marketing efforts with product performance.
• Maximize revenue per customer through basket analysis.

Inventory Optimization

• Reduce deadstock and overstocks with data-driven decisions.
• Predict reordering needs and automate restocking triggers.
• Track shelf life and expiry to avoid wastage.

Personalized Customer Experience

• Understand buying behavior by region, store, or online channel.
• Launch targeted promotions and recommendations.
• Improve loyalty by tracking and acting on customer preferences.

Key Layers in Retail Analytics Solution:

Data Collection Layer

• Pulling data from Excel, ERP, CRM, ad platforms, and websites.

Data Cleaning & Processing Layer

• Removing duplicates, standardizing formats, and preparing usable datasets.

Analytics Engine

• Using formulas, pivot tables, or Power BI visuals to generate insights.

Reporting & Sharing Layer

• Dashboards, visual summaries, and secure online access via Power BI links.

Want a hands-on example?

Let Insight Mantra help you analyze your past, plan your future, and grow smarter.

Ready to take control of your sales data?

Let’s schedule a quick call and show you how our dashboards can make your business more efficient, confident, and competitive.