An AI-powered customer intelligence platform for SMBs in Latin America.
Forkast helps restaurants, cafes, and small businesses understand real customer behavior through low-friction physical interaction systems. QR and NFC touchpoints turn offline moments into digital reputation, engagement, and operational intelligence without asking customers to install an app or navigate enterprise software.
Small and medium-sized businesses across Latin America often operate with limited visibility into customer behavior, retention, and digital reputation.
Most analytics and CRM platforms are expensive, operationally heavy, or built for enterprise teams. Meanwhile, the most valuable customer interactions happen offline inside physical businesses and disappear before they become actionable.
Forkast connects four layers into one operating system:
The platform captures real-world customer interactions and transforms them into tools SMB operators can actually use.
ForkastAI gives operators a conversational interface into their customer interaction data.
Using a custom MCP-based analytics layer I developed, business owners can ask natural-language questions about engagement trends, repeat behavior, customer activity, and digital reputation growth. The system can generate charts, summaries, and operational insights without forcing users to learn traditional analytics software.
Forkast demonstrates how AI tooling can become operationally useful for emerging-market SMBs when the interaction model starts with real-world behavior instead of software complexity.
Forkast reframes data collection as an exchange rather than extraction.
The product works because it removes steps and respects context. Participation is immediate, optional, and useful: a recurring theme in my work around reducing friction between human behavior and technology.