AI Modules Hero
AI Orchestration Modules

Decision Engine That Turns Data Into Revenue

More than reports—AI directly tells you what to do next.
Three modules handle marketing, replenishment, and fulfillment, seamlessly integrated into your existing operations.

Tired of Weekly List Building?

Marketing Autopilot uses RFM models and machine learning to automatically perform 'churn prediction' and 'high-value customer prediction', combined with inventory-linked marketing (only push when in stock), automatically sending personalized messages and retention coupons via LINE at optimal times.

  • Churn Prediction: Predict customers likely to churn in the next 30 days, plan retention campaigns early
  • Auto-Trigger: Integrate LINE OA/EDM, automatically send messages at optimal times
  • ROI Tracking: See open rates, click rates, and repurchase rates for each campaign in real-time

Common Scenarios (Three Questions Bosses Often Ask)

  • "Which regulars are about to leave?" → Automatically tag high churn risk lists, pull out the top 20% worth saving
  • "Weekly campaigns keep repeating copy changes?" → Provide AI-suggested copy + auto-inject personalized offers and store info
  • "Many LINE lists, but don't know how to segment?" → Combine AI EDP tags with mCRM member pool, automatically segment high-value groups
Suitable Industries: F&B / Retail / BeautyRequired Modules: AI EDP + mCRM
Marketing Autopilot Interface

Three AI Modules at a Glance

If you're still evaluating which AI module to start with, this overview can serve as a decision reference.

AI Marketing Automation

First 'use lists well', then talk about expanding ad budgets.

  • Goal: Increase repurchase rate, reduce churn
  • Required Data: Member data, transaction records, open/click data
  • Implementation Time: About 2–4 weeks to launch first automation wave

AI Smart Replenishment

First 'get inventory right', then marketing won't be wasted effort.

  • Goal: Reduce waste, avoid stockouts
  • Required Data: Sales history, store inventory, seasonal and event information
  • Implementation Time: About 4–8 weeks to observe one replenishment cycle

AI Order Routing

When order volume starts growing, you need AI to help with scheduling.

  • Goal: Shorten delivery time, reduce transportation costs
  • Required Data: Warehouse inventory, store inventory, logistics options and rates
  • Implementation Time: About 6–10 weeks to integrate OMS/WMS and test