Case Study: High-Volume Fashion Retailer
The client was burning $15k/month on Meta ads but couldn’t tell which products were actually profitable after returns and shipping costs. Their team also spent 4 hours every Monday manually updating inventory from supplier CSVs.

What we did: We built a unified dashboard connecting Shopify, Meta, and their shipping carrier to calculate true net profit per SKU. We also deployed an automated inventory sync that pulled supplier price lists and updated stock levels in real-time.

The result: They killed 3 unprofitable ad sets, recovered 12% in wasted ad spend, and eliminated 16 hours of manual data entry per month. Cart abandonment recovery automations added an extra 8% in recovered revenue within 60 days.