Case-study
Codebudz Case Study
Our Case Studies

Discover how we leverage emerging technologies to solve real business challenges.

RAG-Powered Mobile Research Assistant
RAG-Powered Mobile Research Assistant

We built a cross-platform mobile application that pairs retrieval-augmented generation with on-device models. The app indexes product manuals and regulatory documents locally so field agents can query them on site, even when offline. The solution delivers context-aware answers in under 300ms while keeping proprietary data on the device.

  • React Native front end with offline vector store
  • OpenAI embeddings running on-device
  • Latency reduced to <300ms
AI Customer Support Chatbot
AI Customer Support Chatbot

For a rapidly growing SaaS platform we delivered a GPT-based assistant that now resolves over 60% of incoming support tickets. The bot maintains conversation memory, escalates edge cases to humans, and continuously learns from new interactions, cutting average resolution time in half.

  • Trained on historical support conversations
  • Seamless hand-off to human agents
  • 60% of tickets resolved autonomously
Website WhatsApp Bot
Website WhatsApp Bot

We integrated a WhatsApp-based concierge for an eCommerce site. Visitors can ask about inventory, track orders, and receive personalized deals directly in WhatsApp. Syncing with the site's CMS ensures the bot mirrors live content, driving a 25% boost in repeat purchases.

  • Twilio WhatsApp API integration
  • Real-time CMS content sync
  • 25% increase in repeat purchases

Clarity gives you the blocks and components you need to create a truly professional website.

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