Building Retail Chatbots and Voice Assistants
Includes API credits for development and testing
What You'll Learn
Most retail chatbots are terrible. They frustrate customers and increase support tickets instead of reducing them. This happens because companies focus on technology before understanding conversations.
This program teaches you to build conversational AI that actually helps customers. You will learn natural language processing, dialog management, and integration with retail systems like inventory databases and order management platforms.
The work is practical: you will design conversation flows for common scenarios like product searches, order tracking, and returns. Then you will implement them using platforms like Dialogflow and Rasa. We cover both text-based chatbots and voice assistants.
You will also learn when NOT to use conversational AI. Some customer interactions need humans. Knowing the difference prevents expensive mistakes.
We examine real chatbot failures and successes from major retailers. The goal is understanding why some work and others create PR disasters. By the end, you can evaluate vendor solutions critically and build custom solutions when needed.
Program Details
Program Outline
Conversational AI Foundations
- Natural language understanding and intent recognition
- Entity extraction for retail products and queries
- Dialog state management and context handling
- Response generation and personalization
Retail-Specific Implementation
- Product Discovery Conversations
- Search refinement, recommendation dialogs, comparison handling, size and fit assistance
- Order Management
- Order placement, tracking updates, modification requests, return and refund processes
- Customer Support
- FAQ automation, escalation to human agents, sentiment detection, complaint handling
Technical Development
- Building with Dialogflow and Rasa frameworks
- Integrating with retail APIs and databases
- Multi-channel deployment: web, mobile, voice
- Testing conversation quality and user satisfaction
Capstone Project
Design and deploy a complete chatbot for a retail scenario, including conversation design, technical implementation, and performance evaluation