# Loan & pawning dashboard

Monitoring only · sample data
Want to develop the full-scale version? This demo shows core features. If you need a production-ready cash loan and pawning monitoring platform with multi-branch support, risk scoring, AI insights, and compliance reporting—kindly contact us at our Facebook page for full-scale development.
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Branch
Product
Horizon

Outstanding principal

### ₱8.4M

+4% vs. last week

Pawn portfolio

### ₱3.1M

Tickets: 1,124

Past due (>7d)

### ₱620k

+5 tickets today

High LTV (>80%)

### 37

review today

##### Today’s risk watchlist

Sample data

Customer | Item / product | Branch | Maturity | LTV | Flag
--- | --- | --- | --- | --- | ---
Maria Cruz Loan #CL‑2041 | Cash loan · salary | Makati | In 3 days | 72% | Near due
Juan Reyes Pawn #PT‑8821 | Gold necklace | Cebu | 3 days past due | 85% | High
Ana Lim Pawn #PT‑8890 | Laptop | Davao | In 2 days | 78% | Monitor

##### Branch summary

Sample roll‑up by branch and product.

- Makati: ₱3.2M loans · ₱1.1M pawning · 6 high‑LTV accounts.
- Cebu: ₱2.1M loans · ₱0.9M pawning · most past‑due pawn tickets.
- Davao: ₱1.4M loans · ₱0.6M pawning · improving delinquency trend.

##### Maturity pipeline

Use this as a placeholder for a maturity chart or table.

- Due today: 24 loans · 31 pawn tickets.
- Due in next 7 days: 112 accounts.
- Past due <= 7 days: 46 accounts.

##### AI monitoring summary

Sample narrative — wire to your AI once scores are available.

- High‑risk exposure is concentrated in 2 branches with older pawn tickets.
- Most cash loan risk comes from a small set of high‑LTV salary loans.
- Contacting 15 customers this week could reduce projected loss by 18%.

Use the future Risk & AI pages to drill into which tickets and customers to prioritize.