Shipment incidents
The serious first: filters by status, type and carrier, and mean time to resolution.
Logistics
Cometa Cargo
Late shipments, carriers that never call, and returns someone approves one by one with no common criteria.
Cometa Cargo is a fictional company. Sign in with any email and password; nothing you do is saved.
What it does
Carriers
On-time rate, mean delay and incidents per 100 shipments: numbers, not impressions.
Returns
The assistant recommends with its reasoning; a person confirms. Nothing is approved on its own.
Tracking
“Where is my package?” answered instantly, with a timeline.
How it was built
Return recommendations are written, visible rules in priority order (a high value escalates before any reason). The agent proposes, the person decides, and you can see whether they matched.
- All four demos are a single application (Next.js and Python on Vercel) that switches brand by subdomain.
- The AI is recorded, so trying it costs nothing: with your data, it answers with a real model over your own documents.
- Nothing about whoever tries it is stored: the session and changes live only in their tab and vanish when it closes. Only an anonymous count that someone visited is kept.
- All data is fictional and the business rules are covered by automated tests.
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