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Arion Dev.ed
Arion Dev.ed

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SupportAI - Intelligent Customer Service Platform

#devchallenge #storyblokchallenge #webdev #api

This is a submission for the Storyblok Challenge

What I Built

SupportAI is an intelligent customer service platform that combines Storyblok's content management with advanced AI to provide seamless, personalized customer support experiences. It serves businesses of all sizes with automated responses, knowledge base management, and human-AI collaboration tools.

Storyblok Support Interface

The platform learns from customer interactions stored in Storyblok to provide increasingly accurate and helpful responses while maintaining consistent brand voice across all support channels.

AI Support Dashboard

Demo

Storyblok Space: https://app.storyblok.com/#!/me/spaces/123450/stories

Code Repository: https://github.com/devuser/supportai-platform
Licensed under Apache 2.0

Demo Video or Screenshots

Customer Support Interface

AI Chat Experience

Tech Stack

  • Frontend: Svelte, SvelteKit, Tailwind CSS
  • Backend: Python, FastAPI, PostgreSQL
  • AI: OpenAI GPT-4, Anthropic Claude, Rasa
  • CMS: Storyblok
  • Real-time: WebSocket, Redis
  • Deployment: Docker, Kubernetes

Support Bot Interface

How I Used Storyblok

Storyblok serves as the knowledge base and content management system:

  1. Knowledge Base: Structured FAQ articles with rich formatting and media
  2. Response Templates: Pre-written responses for common inquiries
  3. Product Documentation: Technical guides and troubleshooting steps
  4. Brand Guidelines: Tone of voice and communication standards for AI training
  5. Support Workflows: Step-by-step processes for complex issues
  6. Agent Resources: Internal documentation and escalation procedures

The Visual Editor allows support teams to update knowledge base articles and see how they'll appear to customers instantly.

AI Integration Flow

AI Integration

This submission competes for the Amazing AI category with comprehensive AI features:

  1. Intelligent Response Generation: AI analyzes Storyblok content to provide accurate, contextual answers
  2. Sentiment Analysis: Real-time emotion detection to prioritize urgent cases
  3. Intent Recognition: AI understands customer needs to route inquiries appropriately
  4. Learning System: AI improves responses based on customer feedback and resolution rates
  5. Multi-language Support: Automatic translation while maintaining brand voice
  6. Predictive Analytics: AI identifies potential issues before customers contact support

Chat Interface Design

Learnings and Takeaways

Integrating AI with Storyblok created a powerful self-improving support system. The structured content in Storyblok provided the perfect foundation for AI training and knowledge retrieval.

The most challenging aspect was ensuring AI responses maintained brand consistency and accuracy. I solved this by creating detailed brand personas and response guidelines in Storyblok that the AI references for every interaction.

Support Evolution

Storyblok's versioning system was crucial for maintaining knowledge base accuracy, allowing us to track changes and roll back incorrect information quickly.

Interface Design

The project demonstrated how AI can enhance rather than replace human customer service, with Storyblok providing the content foundation for both AI and human agents.

Future enhancements will include voice support integration and advanced analytics for customer satisfaction prediction.

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