Our client is a leading retailer in the outdoor recreation and fitness equipment industry. Operating as both an e-commerce platform and an Amazon vendor, the company has built a reputation for providing high-quality bicycles, paddleboards, and other recreational products to active consumers worldwide.

The client faced several challenges, which we addressed with targeted solutions:

1. Fragmented Data Sources: Data was spread across Shopify, GA4, Google Ads, Meta Ads, Amazon Vendor Central, Netsuite, and Snowflake, making it difficult to analyze and utilize effectively.
2. Lack of Unified Reporting: Each department relied on different tools and metrics, leading to inconsistencies and delays in decision-making.
3. Inefficient Marketing Spend: Without cross-platform visibility, the client struggled to optimize advertising budgets and measure campaign ROI.
4. Inventory Management Issues: The absence of integrated inventory data led to frequent stockouts and excess inventory, impacting customer satisfaction and revenue.
5. Scalability Concerns: Existing systems lacked the flexibility to support the client’s growing data needs and business operations.

SR Analytics partnered with the client to design and implement a robust data analytics and business intelligence (BI) solution. Here’s how we approached the project:

1. Data Integration
   • We extracted data from multiple platforms:
     • Shopify for e-commerce transactions
     • GA4 for website analytics
     • Google Ads and Meta Ads for marketing performance
     • Amazon Vendor Central for vendor-specific sales data
     • Netsuite for financial and inventory management
     • Snowflake for existing data storage
   • All data was consolidated and transformed into a unified structure within a centralized data warehouse in Snowflake.
2. Data Warehouse Implementation
   • Leveraging Snowflake’s scalable cloud-based architecture, we designed a data warehouse to handle the client’s growing data volume.
   • The warehouse included automated data pipelines for real-time updates, ensuring fresh and accurate insights across all operations.
3. Customized BI Dashboards
   • Using industry-leading BI tools, we built dynamic dashboards tailored to the client’s needs. Key features included:
     • Sales Analysis: Real-time sales performance across Shopify and Amazon.
     • Marketing ROI: Cross-channel attribution and campaign performance insights from Google Ads and Meta Ads.
     • Inventory Management: Tracking and forecasting stock levels via Netsuite data.
     • Website Performance: Traffic and conversion rate analysis from GA4.
4. Advanced Analytics and Reporting
   • We implemented advanced analytics models to provide actionable recommendations, such as identifying top-performing products, forecasting demand trends, and optimizing ad spend.
   • Automated reporting workflows ensured stakeholders received timely updates.

• Improved Efficiency: Unified data sources reduced manual effort, allowing the client to focus on strategy rather than data wrangling.
• Enhanced Decision-Making: Comprehensive dashboards provided clear visibility into sales, marketing, and operations.
• Increased Sales: A 15% increase in online sales within six months of implementation.
• Higher Marketing ROI: A 20% improvement in advertising efficiency, resulting in better allocation of marketing budgets.
• Optimized Inventory Management: A 25% reduction in stockouts, leading to improved customer satisfaction and retention.
• Scalability: The Snowflake-based solution was designed to grow with the client, supporting future data and analytics needs.