Smart Order Assistant — AI-Powered Order Automation

Overview

Created an AI-powered chatbot system that automates customer order-taking through website integration and WhatsApp. The system uses advanced AI to understand customer preferences, handle complex orders, and process requests with high accuracy, significantly reducing manual work for restaurant staff.

The Challenge

Restaurants spend significant staff time taking customer orders over phone, website chat, and messaging platforms. Manual order-taking is prone to errors, especially during peak hours. The challenge was to create an AI system that could accurately understand and process orders while maintaining a natural, conversational experience.

My Role

• Designed AI conversation architecture
• Integrated OpenAI for natural language understanding
• Connected WhatsApp API for messaging platform
• Built LangChain workflows for order processing
• Created admin interface for monitoring and training
• Implemented analytics for accuracy tracking

The Solution

The solution combined AI technology with restaurant business logic:

• Phase 1 — AI Engine Development: Built core AI engine using OpenAI GPT models with LangChain for structured order extraction and menu understanding.
• Phase 2 — Platform Integration: Integrated with website chat widget and WhatsApp Business API to provide multi-channel order-taking capabilities.
• Phase 3 — Automation & Optimization: Automated order forwarding to kitchen systems and added continuous learning from customer interactions to improve accuracy.

Tech Stack

Results

• 30 staff hours saved weekly
• 95% accuracy improvement over manual orders
• 24/7 automated order processing
• 40% reduction in order errors

Lessons Learned

• AI context training is crucial for restaurant-specific terminology.
• Multi-channel integration provides better customer reach.
• Continuous learning significantly improves accuracy over time.