Use cases

E-commerce & DTC Revenue Optimization

✅ Niche & Pain

Brands struggle with abandoned carts, inventory issues, and low repurchase rates. They often run blind campaigns or depend on dashboards no one reads.

🤖 Agents

  • Post-Purchase Experience Agent

  • Reactivation Agent

  • Inventory Forecasting Agent

  • CLV Segmenter Agent

🧠 ML / Models

  • LTV prediction (gradient boosting, RFM clustering)

  • Inventory forecasting (Prophet, XGBoost)

  • Email open/conversion prediction

  • Recommendation systems (collaborative filtering or rule-based)

🧩 Integrations

Shopify, Klaviyo, Stripe, WooCommerce, Google Sheets

🔁 Workflow

  1. Ingest order, return, and customer data.

  2. Predict LTV + churn risk per customer.

  3. Trigger smart post-purchase messages.

  4. Forecast SKU restocking needs weekly.

  5. Segment inactive customers and auto-trigger recovery flows.

💸 Business Impact

→ Boosts retention by 15–30%
→ Cuts dead stock & improves cash flow
→ Converts more from paid traffic

SaaS Growth & Self-Serve Optimization ›

SaaS Growth & Self-Serve Optimization ›