> ## Documentation Index > Fetch the complete documentation index at: https://aiplaybooklac.com/llms.txt > Use this file to discover all available pages before exploring further. # Use cases # SLM Use Cases for Caribbean & Latin American Small Business > **Created by Adrian Dunkley** | [maestrosai.com](https://maestrosai.com) | [ceo@maestrosai.com](mailto:ceo@maestrosai.com) | Fair Use *** Eighteen concrete scenarios where a Small Language Model beats a cloud model for a Latin American or Caribbean small business. Every case includes the recommended model, the hardware you'd actually buy, and the rough business outcome. Read [models.md](models.md) for the model lineup and [deployment.md](deployment.md) for how to run them. *** ## Agriculture ### 1. Offline Guatemalan cooperative receipt extraction A coffee cooperative in Huehuetenango processes hundreds of paper receipts per harvest. Internet drops daily. * **Model**: Phi-4 (14B) on a Mac Mini M4, 24 GB. * **Stack**: Ollama + a small Python script + Google Sheets (synced when online). * **Outcome**: Receipts entered in minutes, not days. The ledger is reconciled before the truck leaves the ridge. ### 2. Colombian coffee-quality tasting notes in Spanish A specialty coffee exporter in Quindío generates structured cupping notes in Spanish and English for buyer relationships. * **Model**: Gemma 4 9B fine-tuned on 500 past cupping forms. * **Stack**: LM Studio on a laptop + a local form. * **Outcome**: Notes written in 30 seconds, consistent voice, consistent terminology. ### 3. Brazilian agricultural advisory in Portuguese A rural cooperative in Paraná runs a chatbot on a kiosk at the warehouse, answering questions about pest control, fertiliser timing, and weather. * **Model**: Gemma 4 9B, pre-loaded with the cooperative's handbook as a RAG index. * **Stack**: Ollama + a small Flask UI on a Linux mini-PC. * **Outcome**: Farmers get answers in Portuguese, even when the kiosk has no connection. *** ## Tourism and hospitality ### 4. Jamaican tour-operator daily briefing A Negril tour operator needs a Monday briefing: yesterday's bookings, today's schedule, weather alerts, cruise-ship arrivals. * **Model**: Llama 4 Scout on a Mac Studio (64 GB) or Qwen 3 14B on a smaller Mac Mini. * **Stack**: A scheduled local script + email. * **Outcome**: Owner reads one clear page at 6:30am local. ### 5. Dominican Republic boutique hotel voice assistant A 12-room hotel in Las Terrenas runs a voice assistant on a tablet at reception. Guests ask for restaurant recommendations, taxi service, beach conditions. * **Model**: Qwen 3 7B for text + Whisper-small for voice. * **Stack**: Mac Mini + a tablet. * **Outcome**: Front desk handles check-ins while the assistant handles repeat questions. ### 6. Martinique French-language concierge A villa-rental business in Le François runs a local concierge agent in French and English. * **Model**: Mistral Small. * **Stack**: Ollama + WhatsApp Business API via Twilio. * **Outcome**: Rental inquiries are answered around the clock without cloud data exposure. *** ## Retail and commerce ### 7. Bodega inventory voice notes in Dominican Spanish A corner-store owner in Santo Domingo speaks inventory updates into a phone while restocking. The SLM turns voice into structured rows. * **Model**: Qwen 3 7B + Whisper-medium (tuned for Caribbean Spanish). * **Stack**: Phone + Mac Mini at home base. * **Outcome**: No more end-of-day tally. Inventory is current by close of business. ### 8. Peruvian textile WhatsApp sales agent in Quechua-Spanish mix A cooperative in Cusco sells textiles to travellers. Inquiries come in a mix of Spanish, Quechua, and English. * **Model**: Gemma 4 9B, with a pre-check that routes Quechua messages to a human. * **Stack**: n8n + local model via Ollama. * **Outcome**: Spanish and English handled locally; Quechua escalated with human dignity. ### 9. Puerto Rican small retailer PDP compliance assistant A 6-store chain needs to respond to customer data requests without shipping records to a US cloud. * **Model**: Phi-4 (14B). * **Stack**: On-prem Linux server + the chain's CRM export. * **Outcome**: Data-subject responses drafted in minutes while complying with US federal rules as applicable. *** ## Finance and accounting ### 10. Panamanian accounting practice invoice OCR A 5-person accounting firm processes thousands of PDF invoices a month for clients under LFPDPPP. * **Model**: Phi-4 (14B) with a vision front-end. * **Stack**: Mac Studio, 64 GB. * **Outcome**: Invoices processed in seconds each, with data never leaving the office. ### 11. Uruguayan fintech risk classifier A small fintech in Montevideo needs to classify customer messages as "complaint", "inquiry", "compliance flag" without sending them to the US. * **Model**: Gemma 4 9B fine-tuned on 5,000 labelled examples. * **Stack**: On-prem GPU server. * **Outcome**: Compliant with Uruguay's EU-adequacy position, fast classification, no data export. ### 12. Argentine accountant weekly client briefing An accountant in Córdoba generates a weekly Spanish-language one-pager for each of 30 SMB clients. * **Model**: Gemma 4 9B. * **Stack**: A weekend script on a Mac Mini. * **Outcome**: 30 briefings generated in 20 minutes; accountant reviews and sends. *** ## Healthcare and social services ### 13. Cuban clinic triage assistant (local-only, no cloud) A neighborhood clinic in Havana needs a triage assistant that works with intermittent connectivity and cannot transmit patient data abroad. * **Model**: Mistral NeMo 12B. * **Stack**: Local Linux PC + a simple intake form. * **Outcome**: Reception staff use the assistant to structure intake notes; everything stays on the clinic's machine. ### 14. Haitian community-health worker Kreyòl notes assistant Community health workers in Port-au-Prince and the Central Plateau take field notes in Kreyòl. * **Model**: Fine-tuned Gemma 4 9B with Kreyòl data and a mandatory human-review step (see [governance/responsible-ai.md](../governance/responsible-ai.md)). * **Stack**: Offline tablets that sync when they reach a clinic. * **Outcome**: Notes structured for the health ministry; written content reviewed by a native speaker before official filing. *** ## Creative and media ### 15. Trinidad small-business social-media generator A Port of Spain bakery posts twice a day on Instagram. Draft copy + image prompt, offline-first. * **Model**: Gemma 4 9B + Stable Diffusion on a mid-range RTX 4070 desktop. * **Stack**: Desktop + a weekend GUI. * **Outcome**: Owner spends 10 minutes reviewing, not an hour writing. ### 16. Bahamian photographer caption drafter A wedding photographer in Nassau uses a local tool to draft photo captions in English and Spanish. * **Model**: Phi-4 Mini (3.8B). * **Stack**: MacBook Air. * **Outcome**: Captions drafted instantly from a list of subject keywords. No cloud round-trip, no data about private events leaves the device. *** ## Logistics and manufacturing ### 17. Mexican nearshoring supplier-quality assistant A contract manufacturer in Monterrey categorises incoming quality issue reports from suppliers across Mexico and Central America. * **Model**: Llama 4 Scout for its long context window (10M tokens). * **Stack**: A workstation GPU. * **Outcome**: The whole year of reports fits in context; the assistant surfaces trends a dashboard misses. ### 18. Chilean mining-logistics incident classifier A mid-size mining supplier outside Antofagasta runs a classifier on incoming incident reports from field crews. * **Model**: Qwen 3 14B. * **Stack**: Regional data center. * **Outcome**: Reports routed to the right safety officer in minutes. No data crosses borders. *** ## Quick-match table | If your use case is... | Start with | | ----------------------------------- | --------------------------------- | | Offline document processing | Phi-4 (14B) | | Customer chat in ES/PT/EN | Gemma 4 9B | | Long-context (a year of documents) | Llama 4 Scout | | French Caribbean / FR customer chat | Mistral Small or NeMo | | Voice assistant, low-latency | Qwen 3 7B | | Ultra-low-power laptop | Phi-4 Mini (3.8B) | | Privacy-sensitive clinical | Mistral NeMo | | Kreyòl / Papiamento | Fine-tuned Gemma 4 + human review | *** ## Related reading * [models.md](models.md): which model, and why. * [deployment.md](deployment.md): install in an afternoon. * [agents/patterns.md](../agents/patterns.md): these use cases as agents. * [governance/responsible-ai.md](../governance/responsible-ai.md): compliance side of local deployment. *** *Created by Adrian Dunkley | MaestrosAI | maestrosai.com | [ceo@maestrosai.com](mailto:ceo@maestrosai.com)* *Fair Use, Educational Resource | April 2026* *SEO: SLM use cases LAC | offline AI small business Caribbean | local AI Jamaica | Ollama small business | AI privado América Latina | IA local Caribe | on-device AI Latin America*