Home Page Statistic

[ArRahmaan17]

Dashboard Data Structure for Cafe/Retail

🎯 Objective

Refactor and enhance the dashboard so that data displayed is more relevant for POS / Cafe / Retail business.

---

📊 High-Level Metrics

• Total Revenue (Pendapatan)
  • Harian, Mingguan, Bulanan, Tahunan
  • Perbandingan Year over Year (YoY)
• Total Orders / Transactions
  • Jumlah pesanan per periode
  • Average Order Value (AOV)
• Profit / Margin
  • Laba kotor & bersih
  • Persentase margin keuntungan
• Customer Metrics
  • Total pelanggan unik
  • Pelanggan baru vs pelanggan lama
  • Frekuensi kunjungan rata-rata

---

🍽️ Cafe/Retail Specific Data

• Best Selling Products
  • Top 5 menu paling laris
  • Produk dengan margin tertinggi
• Category Breakdown
  • Makanan, Minuman, Snack, dll
  • Persentase kontribusi kategori
• Stock & Inventory
  • Stok bahan utama (contoh: kopi, gula, susu)
  • Notifikasi low stock
• Order Type
  • Dine-in vs Takeaway vs Online
• Payment Method
  • Cash, QRIS, E-Wallet, Debit/Credit
  • Persentase penggunaan

---

📈 Analytics & Trends

• Daily Sales Trend
  • Jam paling rame (heatmap)
• Customer Demographics
  • Umur, Gender (jika data loyalty tersedia)
• Loyalty / Membership
  • Poin yang dipakai
  • Repeat purchase rate
• Expenses
  • Operasional (sewa, listrik, gaji)
  • Bahan baku

---

🛠️ Additional Features

• Forecasting → Prediksi penjualan minggu depan
• Comparisons → Growth dibanding cabang lain (jika multi-branch)
• Badges / Achievement → Gamification untuk owner (contoh: “Best Week in Sales!”)

---

✅ Acceptance Criteria

• Dashboard menampilkan data utama, analitik, dan tren dengan jelas.
• Data dapat difilter berdasarkan periode waktu.
• Visualisasi menggunakan chart & grafik interaktif.
• Menyediakan notifikasi untuk stock rendah & pencapaian target.