# Service dashboard

Agriculture consultancy · sample data
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Region
Channel
Period

Open advisory tickets

### 42

7 high‑priority

Farmers served

### 186

+18 vs. last week

Consultations today

### 37

Across all channels

Avg calls per agent

### 14

balanced

Tickets needing visit

### 11

prioritize routes

Self‑service via KB

### 39%

Tickets resolved with articles

Field visits today

### 9

3 pending confirmation

Avg resolution time

### 1.8d

improving

##### Advisory queue

Sample data

Ticket | Farmer / crop | Channel | Age | Priority
--- | --- | --- | --- | ---
AG‑1021 Rice · yellowing | Dela Cruz · Region 2 | Call center | 2d | High
AG‑1028 Corn · pest damage | Santos · Region 3 | Field visit | 1d | Normal
AG‑1032 Vegetables · irrigation | Flores · Region 4A | WhatsApp | 5h | Low

##### AI service summary (sample)

Narrative placeholder for an AI model that consumes tickets and farmer data.

- Most tickets relate to nutrient management and pest issues in rice and corn.
- Field visits are concentrated in two regions; remote advice covers the rest.
- Knowledge base articles could answer ~40% of low‑priority tickets.

Use future AI and knowledge base pages to suggest responses and training content for agents.

##### Topics mix

Placeholder for a chart of advisory topics.

- Pests & diseases: 38% of tickets.
- Nutrients & soil: 29%.
- Irrigation & water: 18%.
- Market & price info: 15%.

##### Channel performance

See how different channels perform (for charts later).

- Call center: 52% of tickets; fastest first response.
- Field visits: 21%; highest farmer satisfaction.
- WhatsApp / SMS: 27%; growing share in younger farmers.