Cartagena: three economies, one data problem
Cartagena isn’t one economy but several stacked together: tourism in the Old City and Bocagrande, port logistics and the Mamonal industrial belt (petrochemicals, plastics, food), and a retail layer from corner stores to wholesale distributors. What they share is a pattern we see everywhere: systems that don’t talk to each other and teams answering the same WhatsApp questions all day.
Where connected AI actually pays off
- Tourism & hospitality: a WhatsApp chatbot that gives real availability, books against the PMS, runs pre-check-in and escalates to the front desk. Guests don’t wait; staff don’t copy data by hand.
- Logistics & port: agents that answer cargo status, documents and appointments for customers and carriers, querying the real system. Fewer calls, fewer lost emails.
- Retail & distribution: a bot that quotes, checks stock against the ERP (Siigo, World Office, SAP) and takes orders on WhatsApp, freeing the rep to close.
The stack and the method
Models like Claude or GPT for conversation and reasoning, wired to the WhatsApp Business API, your ERP/PMS and your databases via REST. React/Astro front ends when the project needs a web app. The rule is constant: the AI operates on your real data, not a demo sandbox.
We start with a scoped pilot to measure ROI before scaling. No measurable case, no project.
Local delivery from Bolívar
We’re based in Turbaco (Bolívar), minutes from Cartagena. We meet on-site for discovery and integration when needed, and build and support remotely. The model works the same for the Old City, Bocagrande, the north zone and Mamonal.