Understanding your business needs, one solution at a time.
Limited Multilingual Capabilities
No Real-Time Data Integration
Inefficient Service Management
Multilingual AI Assistance
Real-Time Data Integration
Automated Service Request Handling
Research. Understood. Proposed.
We proposed a custom AI chatbot for a Croatian tourism client using LangChain, LangGraph, and LangSmith, powered by GPT-4o-mini. The solution included a RAG model with ChromaDB for quick campsite data retrieval and LiteralAI for logging and performance tuning.
We built a Python backend to manage chatbot logic and API calls, integrated real-time weather data, and used Twilio for WhatsApp alerts to notify maintenance teams.
On the frontend, we suggested embedding a Chainlit-based chatbot into the client’s website, enhanced with Copilot and TypeScript for a responsive, intuitive UI/UX. This aimed to deliver seamless access and engaging interactions for travelers, aligning with the client’s hospitality goals.
1
We began with workshops in Croatia to uncover key issues: slow responses, no real-time weather data, and the need for multilingual support. The goal—build a smart travel assistant chatbot.
2
We designed a system for FAQs, bookings, maintenance, and weather updates using a RAG model, vector store for quick lookups, and WhatsApp alerts for urgent issues.
3
Using Agile sprints, we built a GPT-4o-mini chatbot with LangChain, integrated ChromaDB, real-time weather via FastAPI, WhatsApp alerts, and a feedback loop.
4
We stress-tested the system with heavy user loads, validated multilingual accuracy with native speakers, and ensured quick issue reporting (under 10 seconds from user to maintenance alert).
5
The chatbot went live on Azure. CI/CD pipelines ensured fast fixes, and we delivered an admin dashboard so the client could update content easily. A week of monitoring confirmed that everything ran smoothly.
From nothing to a star!
Deployed an intelligent chatbot capable of responding instantly to customer queries such as “Any spots at Krk?” in Croatian, English, or German, ensuring smooth multilingual support.
Integrated live weather data and alerts, enabling tourists to receive timely updates (e.g., “Rain in Dubrovnik today?”) and make informed travel decisions.
Implemented a system for logging and routing maintenance issues such as “Broken shower at Site 3”directly to the appropriate teams for faster resolution.
Enabled the chatbot to perform contextual searches within the website, allowing users to quickly discover offers, such as a discount at Campsite Split.
Introduced real-time WhatsApp notifications for staff, ensuring prompt action on urgent issues.
Hosted the solution on Azure Container Apps with auto-scaling and seamless updates to ensure reliable performance during peak tourist seasons.
“I have used Zealous for several of my projects, I have found the team to be very professional yet personable. When I work with Zealous, I know I am getting the best developers who understand my requirements before they start.”
Sales Director at Digital Dilemma
“From day-1 Pranjal and his team have been very good at delivering quality work on time to budget. They are dynamic, if resources need to be shuffled around depending on what work needs to be done.”
Senior Product Manager at Ecentric Payment Systems Driving
