# AI Insights

##### Snapshot (30d)

- Total listings analyzed: 2,940
- Trades completed: 214
- Avg time to match: 3.4 days

##### Narrative insight

Sample AI‑generated summary (wire this panel to your AI service).

Liquidity is strongest in consumer electronics, where 63% of listings receive at least one AI‑proposed match within 24 hours. Home & furniture listings show a higher idle rate; many have incomplete “wants” fields or ambiguous descriptions. Multi‑party cycles increased total trades by 27% compared with 1:1 matching alone.

Suggested focus

- Improve tagging and required fields for furniture listings.
- Promote bundle suggestions in hobbies & games to move slow‑moving inventory.
- Surface AI match quality explanations more prominently in the UI to build user trust.

##### Trends by segment

- Electronics: time to first match down from 4.1 → 2.7 days; bundle trades up 18%.
- Home & furniture: 31% of listings still lack clear “wants”; high share of idle items.
- Hobbies & games: acceptance rate highest (62%), but small average trade value.

##### Recommendations

###### Liquidity playbook

- Auto‑prompt new users to add “wants” before publishing.
- Highlight “AI‑ready” listings with complete metadata.

###### Risk & trust

- Explain multi‑party trades step‑by‑step in the UI.
- Show past successful trades to increase confidence.

###### Model feedback

- Collect “useful / not useful” votes on AI suggestions.
- Use decline reasons to refine future proposals.