Samuel Adame Gallego

Their entire operation was managed manually and dispersedly.Project, personnel, costs, supplier, inventory, and warehouse information was scattered across different unconnected locations, making tracking difficult, generating duplication, and blocking any attempt to scale the business or automate key processes.

A custom digital platform was designed and developed to centralize the company's entire operation and lay the groundwork for future automations. The core stack is React for the frontend, Supabase as the backend and database, GitHub as the repository, and Vercel for continuous deployment. The platform includes:

The company has moved from a manual and dispersed operation to a structured system where all information is connected and centralized on a single platform. The clearest validation came during the 2026 Three Kings' Day parade season: **the platform was used to coordinate 60 parades and assign over 700 people to these events**.

The project remains active, with new modules and improvements continuously being incorporated on the deployed base.

A moving company that receives around 300 leads per monththrough its website form. Before the project, the entire lead capture and budgeting process was manual.

A team member was responsible for:

The average time per quote was about 2 hours. At this pace, they frequently lost opportunities because it took several days to respond to a client who was also requesting quotes from other companies at that moment.

I designed and implemented an end-to-end system that automates the complete lead journey, from web entry to sending the final PDF to the client, leaving only decision points in the team's hands. The core stack is n8n for automations and Airtable as the process database.

The average time per quote dropped from 2 hours to a maximum of 20 minutes. The system handles 80% of the work; the team only dedicates time to the 20% that requires judgment: review, adjust as needed, and approve. All leads are centralized in Airtable, providing visibility into the funnel and facilitating follow-up. Most importantly, they no longer lose opportunities due to slow response times.

An online travel agency (OTA)operating on platforms like Civitatis received its bookings via email. Every time a booking came in, a team member had to open the email, read key details (dates, names, language, number of people, etc.), and manually copy them into an Excel spreadsheet to work with them. During high season, the volume could exceed 500 bookings per day, making the manual process unfeasible and opening the door to errors, omissions, and delays in subsequent operations.

I designed and implemented an automatic capture system in 6 weeks that connects the client's email to Airtable, completely eliminating manual transcription work. The core stack was Make for automations and Airtable as the process database. The workflow operates as follows:

Before touching technology, a joint definition phase with the client to map their actual operations and design the Airtable structure with the essential fields for the team to work with the data frictionlessly.

Make monitors the booking account's inbox and detects each new email in real-time.

When a booking arrives by email, Make automatically extracts key data (dates, names, language, number of people, etc.) and normalizes it.

The data is immediately sent to Airtable, which acts as a centralized booking database accessible to the entire team.

The agency went from a 100% manual process of copying data from email to Excel to an automatic systemthat captures bookings in real-time and keeps them centralized and organized in Airtable. The team stopped spending time on a repetitive, low-value task and gained visibility into the booking flow at any time. The system was dimensioned to handle high-season volumes, with peaks of over 500 bookings per day.