Demonstration project — fictional brand
MUNGO Fret & Transit
The website of a parcel forwarder, with an AI assistant that answers on a Sunday night and knows when to hand over.


Project sheetMUNGO
- Sector
- Parcel shipping
- Market
- Diaspora and Cameroon
- Type
- Website and AI agent
- Pages
- 14
- Languages
- French, English
- Built in
- 2026
The need
MUNGO ships families’ parcels between the Paris region, Brussels, Douala and Yaoundé. Its advisors spend the day answering the same questions: how much, when, is it allowed? And families often pack their boxes in the evening or on Sunday, when nobody is there to answer.
For their customers
On a Sunday at 11 pm, Awa is packing two boxes for her mother in Douala. She asks the assistant for a price and gets it straight away, air and sea side by side. If her parcel arrives damaged, the assistant puts her in touch with a person, with a summary she can read first.
What I built
The agent is simulated for this demo. In production, a language model would use the same tools and guardrails, with human oversight.
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An assistant that asks before it calculates
For “2 boxes of 25 kg”, it first asks for their size, because volume changes the price. Then it compares: €475.00 by air, €144.00 by sea.
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Its reasoning, next to the conversation
The “How the agent reasons” panel shows every turn: the typo it fixed (“perfum” becomes “perfume”), what it understood, the tool it called and its source.
-

A person, when it matters
A complaint, customs duties, a large volume: it hands over. The customer reads the summary, then picks WhatsApp, email or a call-back. Nothing is sent until she clicks.
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The same tools as the pages
The price estimator, parcel tracking and the departures calendar use the same functions as the assistant. It cannot do anything the site cannot do.
Design choices
The codes of freight: parcel labels, city codes, a weighing stamp. Navy blue and container orange feel as reassuring as a well-run port, and the agent’s panel reads like a logbook.
- Red Hat Display for headings and text
- Red Hat Mono for tracking numbers and the agent’s logbook
- ConcreteBackground#EEF0F2
- InkText#0E1A27
- OrangeAction#F26A1B
- NavyBands, conversation#0B2A4A
Measurements
Home page of the demo, on mobile and on desktop.
| Metric | Mobile | Desktop |
|---|---|---|
| Performance | 95 | 100 |
| Accessibility | 100 | 100 |
| Best practices | 100 | 100 |
| SEO | 100 | 100 |
| Largest Contentful Paint (LCP) | 2,064 ms | 517 ms |
| Transferred size | 201 KB | 297 KB |
Measured on 8 October 2026 with Lighthouse 13 (default profiles), page served compressed from a local server, as in production.
Built with AI
Design, art direction and checks by me. Code and content produced in collaboration with AI agents, then reviewed and tested.
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You talk to me directly
Mike SOBTAMFO · engineer · Cameroon (UTC+1)