Retail Intelligence Platform

POS Analytics
Platform

Kecerdasan point-of-sale menyeluruh untuk optimasi retail β€” RFM segmentation, churn prediction, dan analisis basket real-time.

πŸ“Š Overview KPI

Total Transaksi
1.247.832
Jan – Des 2024
Total Pelanggan
89.421
Unique customers
Produk Unik
12.847
Total SKU
Total Revenue
Rp 847B
β‰ˆ Rp 9,5M / pelanggan

πŸ† RFM Snapshot

πŸ† Champions
12.847
⭐ Loyal
24.521
⚠️ At Risk
8.932
πŸ“Š Total
89.421

🎯 RFM Insight

Segmen Champions (14,4%) berkontribusi 42% dari total revenue. Pelanggan At Risk memerlukan kampanye retensi segera.

⚠️ Churn Analysis

🚨

Churn rate naik 1,2% dari kuartal sebelumnya. Tindakan segera diperlukan.

At Risk
8.932
Churn Rate
9,9%
Aman
80.489
Total
89.421

Penyebab Utama Churn

Sensitivitas harga (45%), penawaran kompetitor (32%), dan masalah pengiriman (23%).

🌍 Macro Context

RMRI Index
112.4
↑ 3,2% YoY
GDP Growth
5,2%
↑ 0,8% YoY
Inflation Rate
3,1%
↑ 0,3% MoM

πŸ›’ Product Affinity

Pasangan ProdukAffinity ScoreCo-occurrenceLiftImpact
Skincare β†’ Makeup0.8723.4%2.3Γ—Tinggi
Haircare β†’ Styling0.8219.7%2.1Γ—Tinggi
Bodycare β†’ Fragrance0.7615.2%1.8Γ—Sedang
Tools β†’ Accessories0.7112.8%1.5Γ—Sedang
Skincare β†’ Tools0.6811.4%1.4Γ—Sedang

πŸ“± Channel Distribution

Offline Store
Rp 423,6B
49,9% share
E-commerce
Rp 338,9B
40,0% share
Social Commerce
Rp 84,7B
10,1% share

πŸ‘₯ Customer Cohort

Cohort Q1 2024
24.521
Cohort Q2 2024
22.847
Cohort Q3 2024
21.432
Cohort Q4 2024
20.621
Retensi Bulan 1
78%
Retensi Bulan 3
62%
Retensi Bulan 6
48%
Retensi Bulan 12
35%
Avg Revenue / Pelanggan
Rp 9,5M
LTV Estimate
Rp 28,5M
Purchase Frequency
3,2Γ—/thn
Avg Order Value
Rp 2,9M

πŸ’Ό Business Impact

Revenue at Risk
Rp 84,7B
Dari pelanggan churn
Upsell Opportunity
Rp 127,1B
Potensi cross-sell
Win-back Potential
Rp 42,4B
Revenue recoverable

πŸ’‘ Rekomendasi Aksi

Prioritaskan kampanye retensi untuk segmen At Risk (8.932 pelanggan). Estimasi ROI: 4,2Γ— dari investasi retensi. Implementasikan cross-sell bundle untuk pasangan produk dengan afinitas tinggi.