OpenClaw · Detached Ecommerce · Demo

Ecommerce Voucher Strategy Agent

AI-powered voucher effectiveness analysis, discount optimization, and ROI tracking for ecommerce campaigns.

AI AgentLLM ServerEcommerceVoucherDetached System
0.5×← Perlahan · Cepat →
0%Stage 0 / 7 · Idle
💬Tekan Play Demo untuk lihat bagaimana Voucher Strategy Agent mengoptimumkan diskaun.
Demo Complete — All Stages Generated

01 WhatsApp Command

02 Voucher Analysis

Active Vouchers
4
Redemption Rate
62%
Total Discount
RM 8,450
Avg ROI
3.4×
Menunggu Sedang aktif Selesai

03 Python Script Generation

1
📥
Ambil data voucherAPI platform — kod, diskaun, tebusan
2
🧮
Kira ROIPendapatan vs kos diskaun setiap voucher
3
🔍
Analisis prestasiBandingkan redemption dan ROI antara voucher
4
📊
Laporan & cadanganStrategi diskaun optimum + notifikasi

04 Block Diagram

Menunggu Sedang aktif Selesai

05 System Schematic

Menunggu Sedang aktif Selesai
⚠️ Set voucher budget limits to prevent over-discounting.

06 Simulasi Analisis Voucher

Mula Analisis
Vouchers
0
Total Redemptions
0
Avg ROI
Total Discount
RM 0
WELCOME1515%ROI 4.2×Active
FREESHIPFree shipROI 3.1×Active
RAMADHAN20%ROI 2.8×Expired
BUNDLE1010%ROI 1.5×Active
OverallAvg 12%ROI 3.4×Optimized

07 Voucher Strategy Report

Demo
Voucher Strategy
Active Vouchers
0
Redemption Rate
0%
Total Discount
RM 0
Best Performer
-
Status
Completed

Terminal Log

[SISTEM] Voucher Strategy Agent sedia

System Architecture

📱 Command Layer
WhatsApp instruction
🤖 Agent Layer
Voucher fetcher
ROI calculator
Trend analyzer
LLM optimizer
🛒 Ecommerce Layer
Platform API
Voucher data
Redemption logs
Strategy export

Safety Notes

  • ⚠️ Set voucher budget limits to prevent over-discounting.
  • Configure maximum discount caps per campaign.
  • Monitor redemption velocity to detect abuse.
  • Browser demo does not touch real platform APIs.