Understanding your business needs, one solution at a time.
Limited Multilingual Capabilities
No Real-Time Data Integration
Inefficient Service Management
Automated Service Request Handling
Real-Time Data Integration
Multilingual AI Assistance
Research. Understood. Proposed.
After in-depth research, we proposed a tailored AI chatbot for the Croatian tourism client. Our team suggested building it with LangChain, LangGraph, and LangSmith for workflow, orchestration, and optimization, powered by OpenAI’s GPT-4o-mini for efficient multilingual responses. We included a RAG model with ChromaDB for fast retrieval of campsite data and LiteralAI for conversation logging to refine performance.
For the backend, we proposed a Python system to handle chatbot logic and API calls. Our team integrated weather APIs (e.g., OpenWeatherMap or Meteoalarm) for real-time updates and set up a WhatsApp alerting system via Twilio to notify maintenance teams of urgent requests, ensuring quick operational response.
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 kicked off with workshops in Croatia to understand the client’s pain points—slow responses, lack of real-time weather data, and the need for multilingual support (Croatian, English, German). The goal was clear: build a chatbot that acts as both a travel assistant and service coordinator.
2
Our team mapped out a system to handle FAQs, bookings, maintenance requests, and live weather updates. To keep responses accurate, we chose a Retrieval-Augmented Generation (RAG) model and proposed smart integrations like a vector store for fast lookups and WhatsApp alerts for urgent issues.
3
Using Agile sprints, we ingested campsite data into ChromaDB and built the chatbot using GPT-4o-mini with LangChain. Our FastAPI backend handled real-time weather checks and WhatsApp notifications. We fine-tuned prompts and added a feedback loop to fix language-specific quirks.
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
