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AI Chatbot Platform

Client: Ballance Agri-Nutrients

Project Overview

We developed a pilot conversational AI system for Ballance Agri-Nutrients, a leading agricultural supply company in New Zealand. The main goals of the chatbot were to handle customer order flows, provide access to order history, and display property-specific details.

AWS BedrockReactNode.jsAI/ML
Ballance AI Assistant
B
Hello! How can I help you with your farming questions today?
What fertilizer would you recommend for sandy soil?
U
B
For sandy soil, I'd recommend our SandGro formula with higher phosphorus content. It's designed to improve water retention while providing essential nutrients.

The Challenge

Ballance Agri-Nutrients needed a way to provide instant, accurate agricultural knowledge to farmers across New Zealand. They faced several challenges:

  • Agricultural knowledge is specialized and complex
  • Farmers need region-specific advice based on local soil and climate conditions
  • Customer support team was overwhelmed with repetitive questions
  • Existing systems couldn't provide 24/7 instant support

Our Solution

We developed a custom AI chatbot using AWS Bedrock and large language models, specifically trained on agricultural data and Ballance's product information.

  • Custom-trained AI model on agricultural knowledge
  • Integration with Ballance's product database and customer systems
  • Regional awareness for location-specific recommendations
  • Natural language understanding for farmer-friendly interactions
  • Web and mobile interface for access across devices

Technical Approach

Our implementation leveraged cutting-edge AI technologies and modern development practices to deliver a scalable, reliable solution.

Backend Architecture

  • Node.js serverless functions
  • AWS Lambda for compute
  • AWS Bedrock for AI model hosting
  • API Gateway for endpoints

Data Management

  • DynamoDB for conversation history
  • S3 for product data storage
  • Vector embeddings for semantic search
  • Secure data access patterns

Frontend Implementation

  • React for UI components
  • TypeScript for type safety
  • WebSocket for real-time chat
  • Responsive design for all devices

Our Development Approach

We applied our proven methodology to ensure high-quality implementation and smooth delivery.

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