Retail & E-Commerce Industry

Power BI for Retail & E-Commerce

Power BI implementations for retail chains, e-commerce platforms, and consumer brands. We deliver sales analytics, inventory optimization, customer segmentation, and omnichannel performance dashboards.

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Retail & E-Commerce Data Challenges We Solve

Integrating POS, e-commerce, and ERP data into a unified model

Handling millions of SKUs and transaction records

Real-time inventory visibility across hundreds of locations

Customer data from multiple touchpoints and loyalty systems

Seasonal demand patterns and promotional impact analysis

PCI DSS compliance for payment data in dashboards

Retail & E-Commerce Power BI Use Cases

Proven analytics solutions tailored to retail & e-commerce industry requirements and workflows.

Sales Performance

Same-store sales, comp sales analysis, basket analysis, promotion effectiveness, and category management dashboards across all channels.

Inventory Optimization

Stock level monitoring, reorder point analytics, dead stock identification, seasonal demand forecasting, and supply chain visibility.

Customer Analytics

Customer lifetime value, RFM segmentation, churn prediction, loyalty program analysis, and personalization effectiveness tracking.

Omnichannel Analytics

Unified view of in-store, online, mobile app, and marketplace channels with attribution modeling and channel performance comparison.

Store Operations

Labor scheduling optimization, foot traffic analysis, conversion rates, shrinkage tracking, and store-level P&L dashboards.

E-Commerce Analytics

Conversion funnel analysis, cart abandonment tracking, product recommendation effectiveness, and digital marketing ROI dashboards.

Retail & E-Commerce Power BI FAQ

Can Power BI handle millions of retail transactions?

Yes, with proper architecture. We use Microsoft Fabric data lakehouses for raw transaction storage, aggregation tables for common reporting periods, and DirectQuery with Direct Lake mode for real-time analysis. The combination handles billions of transactions with sub-second query performance.

How do you build omnichannel retail dashboards?

We design a unified data model that maps transactions from POS systems, e-commerce platforms (Shopify, Magento, custom), mobile apps, and marketplaces (Amazon, Walmart) into a common schema. This enables true omnichannel analytics with customer journey tracking across all touchpoints.

Can Power BI connect to Shopify or other e-commerce platforms?

Yes, Power BI connects to Shopify via REST API, to Magento via GraphQL API, and to other platforms through their respective APIs or data exports. We build automated data pipelines that sync e-commerce data into your Power BI data model on a scheduled or near-real-time basis.

How do you handle seasonal demand forecasting in Power BI?

We implement time intelligence DAX patterns combined with statistical forecasting models. For advanced scenarios, we use Python or R integration within Power BI for ARIMA, Prophet, or machine learning models, with results visualized in interactive forecast dashboards with confidence intervals.