About the Company.
A fast growing, size inclusive fashion retailer operating across ecommerce, marketplaces, and boutique stores. The brand offers denim, dresses, co-ords, maternity wear, and custom fit apparel that are built on sustainability, inclusive sizing, and rapid product drops. As the business scaled, it needed a unified analytics foundation to manage inventory, reduce returns and improve customer insights.
Solution Summary.
Algoscale built an end-to-end analytics ecosystem spanning data ingestion, modeling forecasting, and BI dashboards. The solution centralized all sales, product, inventory, and marketing data into a unified warehouse, enabling real time insights across growth, returns, stock movement, and customer behavior.
Customer Challenges.
- Inventory mismatches across online and offline channels with frequent stockouts for top-selling SKUs
- High return rates mainly due to size and fitting issues,
- Limited segmentation and behavior analysis with no visibility into lifetime value or repeat patterns
- Difficulty evaluating marketing ROI and campaign effectiveness
- Fragmented data across multiple systems.
- Daily reporting required manual processing but no single source of truth for sales, inventory, and return performance.
Algoscale Solution.
- Centralized data from Shopify, CRM, marketplaces, ad platforms, and inventory systems
- Implemented star schema models for customers, sales, returns, inventory and marketing
- Built forecasting models for demand, replenishment, and stock optimization
- Implemented SDC logic to track product attributes changes and customer profile evolution
- Automated data refreshes via Airflow and standardized data pipelines with validation and monitoring.
- Interactive Power BI dashboards for Sales & revenue insights Category & SKU performance Size-and fit related return analytics Inventory forecasting & replenishment Marketing ROI & customer segmentation
- Built a multi layer Data Lake for structured data flow and designed a Snowflake data warehouse with scalable SQL pipelines,
Values Delivered.
Through this engagement, Algoscale delivered measurable improvements:
- 20% of SKUs generated nearly 70% of revenue, clearly identified through unified analytics
- Fit Guide insights reduced size related return rates by ~12%
- Stockout-related revenue loss dropped by ~25%
- Inventory turnover improved by 20% with centralized data & better forecasting
- Improved customer segmentation increased repeat purchases & marketing efficiency by 45%
