Key results
85% reduction
in reconciliation errors across POS, ERP, and online channels
3.5 hours reduction
in daily report delivery time — now available by 8 AM instead of 11:30 AM
15% uplift
in underperforming store revenue driven by real-time visibility
18% increase
in inventory turnover by unifying online and offline stock views
About the Client
A mid-sized U.S. apparel retailer operating 75+ physical stores with a growing presence on e-commerce platforms like Shopify and Amazon. The company manages multiple brands across casualwear and athleisure categories and has regional teams overseeing sales performance.
Key Challenges
Fragmented sales data across POS, ERP, and online platforms
Manual reconciliation delays of 1–2 days for consolidated reports
Lack of unified view for product performance across regions
Our Approach
- Mapped all source systems including POS, ERP, Shopify, and Amazon
- Used DataChannel for rapid integration of marketing and e-commerce data
- Applied dbt for business logic, metric standardization, and curated data models
Implemented Solution
Data Engineering
- Used DataChannel to ingest and sync sales, returns, and ad data from Shopify, Amazon, Meta Ads, and Google Ads
- Built Airflow-managed workflows for POS and ERP data integration
- Standardized product and location mappings for unified reporting
Centralized Data Warehousing
- Centralized all cleaned data into Amazon Redshift
- Applied business logic using dbt for gross margin, category contribution, and store-level KPIs
- Created reusable data marts for sales, finance, and inventory analytics
Business Intelligence & Visualization
- Built executive dashboards for leadership and zone-wise views for regional managers in Tableau
- Enabled daily sales performance tracking by channel, category, and store
- Delivered drill-down insights for stock rotation, markdown impact, and top-selling SKUs
Technologies Used
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