Ecommerce Data Analytics for a Canada-Based Health & Fitness Brand
Project category
Ecommerce Data Analytics for Fitness Brand
FitNexa Inc.
Canada
3 months
Boost sales and margins with real-time eCommerce insights—start your data-driven growth now.
Project Overview
A Canada-based eCommerce business selling health & fitness products (supplements, gear, and accessories) was held back by price inconsistencies across channels, limited visibility into product popularity, inefficient order/stock handling, and scattered customer feedback.
We delivered a centralized eCommerce Sales Data Dashboard in Power BI that unifies pricing, inventory, orders, and reviews, enabling dynamic pricing, demand-aware replenishment, and sentiment-driven merchandising to boost margin, sales, and customer experience.
Key KPIs to Track
The eCommerce Sales Data Analytics dashboard by X-Byte Analytics is designed to deliver real-time intelligence, AI-powered insights, and seamless visibility across sales, inventory, and customer performance:
- Pricing & Margin: Price index vs. competitors, gross margin %, discount impact, promo ROI
- Sales & Conversion: Conversion rate, AOV, sales velocity, revenue by SKU/category/channel
- Inventory & Fulfillment: Inventory turnover, stockout rate, days of cover, reorder points, order cycle time, on-time delivery %
- Customer & Brand: Review sentiment score, NPS, repeat purchase rate, returns rate, refund rate
- Price Elasticity Coefficient by SKU: Measures how sensitive customers are to price changes, enabling smarter dynamic pricing strategies.
- Lost Sales Due to Stockouts: Quantifies revenue missed when inventory runs out — crucial for demand-aware replenishment.
- First-Time vs Repeat Customer Revenue Split: Tracks customer loyalty and LTV growth influenced by price consistency & better product experience.
- Refund & Replacement Drivers: Breakdown of refund reasons (quality, delay, mismatch) to improve operations and CX.
Solution Offered — eCommerce Sales Data Dashboard
X-Byte Analytics engineered an end-to-end Power BI ecosystem that unifies pricing, sales, inventory, order operations, and customer sentiment into a single, governed intelligence layer. The solution delivers dynamic pricing optimization, demand-driven inventory planning, product and CX insights, and automated alerts—empowering leadership with real-time, decision-ready eCommerce visibility.
Unified Data Integration & SKU Mapping
- Consolidated Shopify, marketplaces, ERP/OMS, competitor price feeds, and review data into a governed warehouse.
- Normalized pricing, inventory, orders, and customer touchpoints to enable KPI calculations like price index, stockouts, elasticity, and sentiment.
Dynamic Pricing & Profitability Analytics
- Built elasticity-based pricing models, competitor benchmarking, discount ROI, and margin guardrails to optimize price and margin KPIs.
- Added real-time alerts for price gaps, margin drops, and promo impact to minimize discount leakage and improve unit economics.
Inventory Forecasting & Order Optimization
- Modeled demand, safety stock, reorder points, and lead times to reduce stockouts, lost sales, and inefficiencies.
- Added PO prioritization, stockout alerts, and fulfillment SLA tracking (pick-pack-ship) to improve order cycle time and on-time delivery KPIs.
Product, Customer, and Sentiment Intelligence
- Built SKU-level product performance matrices (sales velocity, margin contribution, lifecycle tags) with first-time vs repeat buyer insights.
- Created sentiment engines analyzing reviews, refund drivers, and CX trends to link customer satisfaction KPIs with pricing and product decisions.
Intelligent Dashboards, Automation & Collaboration
- Designed role-based Power BI dashboards covering pricing, inventory, sales, reviews, operations, and customer KPIs with drill-down to SKU/order.
- Automated notifications, scheduled refreshes, and weekly review packs so teams act on KPIs instantly across pricing, operations, CX, and finance.
Key Features of the Dashboard
The eCommerce dashboard is designed to deliver a seamless, intelligent, and actionable analytics experience for data-driven decision-making:
Business Benefits
A unified analytics ecosystem that optimizes pricing, inventory, and operations—driving higher margins, faster fulfillment, and stronger customer loyalty.
01
Optimized Pricing & Margin
Consistent, market-aware pricing lifted unit economics and reduced confusion across channels.
02
Smarter Inventory & Faster Fulfillment
Reorder guidance and SLA tracking cut delays, backorders, and avoidable stockouts.
Sharper Merchandising & CX
Popular SKUs were prioritized; sentiment insights informed copy, bundles, and Q&A—improving conversion and loyalty.
04
Operational Visibility
A single source of truth for leadership and teams, with alerts that turn KPIs into actions.
05
Improved Customer Loyalty & Higher Repeat Purchases
Better sentiment tracking, pricing consistency, and personalized product insights increased repeat purchase rate and customer lifetime value.
06
Lower Returns & Quality Issues
Refund-reason analytics helped identify product and delivery issues early, reducing returns and improving customer satisfaction.
Who Gains Actionable Insights from This System?
Tech Stack Used
Built for scalable, AI-driven eCommerce analytics with governed data pipelines and automated intelligence delivery.
Microsoft Power BI
Python (Pandas, scikit-learn)
SQL Server / AWS (S3, RDS, Glue/Lambda)
Results Achieved
Significant, data-driven gains in profitability, efficiency, and customer experience through unified, AI-powered eCommerce analytics.
Key Results:
The unified analytics foundation now powers continuous optimization—keeping prices competitive, shelves stocked, and customers satisfied.