Stellar Retail Corp
Industry Vertical: Retail & E-commerce
1. The Challenge
Stellar Retail Corp faced high inventory holding costs and frequent stockouts on trending items. Their inventory management system operated on batch reporting, making it impossible for their merchandising team to forecast customer demand changes in real time.
2. Technical Assessment
Our analytics consultants audited their sales channels and inventory databases. We found that department reports had inconsistent figures due to disconnected data silos. Analyst teams spent 20+ hours weekly compiling manual spreadsheet reports for the executive board.
3. The Solution
We built an automated data pipeline linking their POS terminals directly to a centralized SQL warehouse. We designed automated Power BI executive and operational dashboards that display real-time inventory levels, sales metrics, and predictive customer cohorts.
4. Operational Implementation
We deployed real-time ETL pipelines, configured automated morning email reports, and launched self-serve analytical scorecards for department heads.
Measurable Results
- Manual reporting labor reduced by 90%.
- Inventory stockouts optimized, saving 18% in logistics costs.
- Executive decision-making latency cut from weeks to hours.
Business & EBITDA Impact
Providing real-time inventory visibility and sales metrics enabled Stellar Retail Corp to optimize their supply chain, resulting in a 12% revenue increase on trending products during their holiday season.
Lessons Learned & Differentiators
- [1]Moving from batch processing to real-time data ingestion is crucial to capture quick shifts in customer demand.
- [2]Self-serve dashboards reduce executive dependency on analytical teams, speeding up daily operations.