0.5×← Perlahan · Cepat →
💬Tekan Play Demo untuk lihat bagaimana Voucher Strategy Agent mengoptimumkan diskaun.
Demo Complete — All Stages Generated
01 WhatsApp Command
02 Voucher Analysis
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
import requests, json, pandas as pd
API_VOUCHERS = "https://api.ecommerce.com/v2/marketing/vouchers"
def fetch_voucher_report():
resp = requests.get(API_VOUCHERS, params={"status": "active"})
return resp.json().get("vouchers", [])
def analyze_vouchers(vouchers):
df = pd.DataFrame(vouchers)
df["roi"] = (df["revenue"] - df["discount_cost"]) / df["discount_cost"]
avg_roi = df["roi"].mean()
best = df.loc[df["roi"].idxmax()]
return {
"active_vouchers": len(df[df["status"] == "active"]),
"avg_roi": round(avg_roi, 2),
"total_redemptions": int(df["redemptions"].sum()),
"best_voucher": best["code"],
"total_discount": round(df["discount_cost"].sum(), 2)
}
report = analyze_vouchers(fetch_voucher_report())
print(json.dumps(report))
04 Block Diagram
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05 System Schematic
Menunggu Sedang aktif Selesai
⚠️ Set voucher budget limits to prevent over-discounting.
06 Simulasi Analisis Voucher
Mula Analisis
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
Terminal Log
[SISTEM] Voucher Strategy Agent sedia
System Architecture
🤖 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.