Understand how Sendbird’s AI Chatbot enhances retail and e-commerce customer engagement
Learn to create and configure AI Chatbots for retail use cases
Explore testing, deployment, and sharing of AI chatbots in a retail context

This is relevant because, in today’s competitive retail landscape, delivering exceptional customer service is essential. Sendbird’s AI Chatbot empowers retailers to:

Provide instant answers to common customer queries based on grounded answers
Offer personalized product recommendations
Streamline order tracking, returns, and exchanges
Enhance overall customer satisfaction and drive sales conversions

This tutorial will guide you through setting up a retail AI Chatbot using Sendbird’s Bot Studio, from basic configuration to knowledge base settings for well-grounded responses.

Build & deploy a custom AI chatbot in minutes for free

Build an AI chatbot

What will be covered

Benefits of Sendbird AI Chatbot for Retail
Getting Started with Bot Studio
Creating a Retail-Focused AI Chatbot from Scratch
Testing and Deployment
Enhancing Retail Knowledge with Knowledge Center
Best Practices for Retail Chatbots
Conclusion

1. Benefits of Sendbird AI Chatbot for Retail

Sendbird AI Chatbot can revolutionize the retail customer experience by:

Reducing wait times with instant responses.
Increasing engagement through personalized interactions.
Improving customer support by handling routine inquiries.
Boosting sales with tailored product suggestions.

Build & deploy a custom AI chatbot in minutes for free

Build an AI chatbot

2. Getting Started with Bot Studio

2.1 Accessing Bot Studio

1. Log in to the Sendbird Dashboard using your credentials.

2. Navigate to “AI Chatbot” in the left-hand menu.

3. Select “Manage Bots” to access Bot Studio.

2.2 Understanding the Interface

Bot Profile: Configure your chatbot’s image and name.
First Message: Set the welcome message customers see.
AI Engine & Instructions: Choose the AI model and define your chatbot’s behavior.

3. Creating a Retail-Focused Chatbot

3.1 Setting Up the Bot Profile

1. Click on “Create Bot” in Bot Studio.

2. Under Bot Profile:

Profile Image: Upload your brand logo or a friendly avatar.
Bot Name: For example, “ShopAssist” or “FashionHelper”.
Enable Feedback: Toggle on to allow customer feedback.

3.2 Crafting the First Message

Welcome Message:

Unset

"Hello! Welcome to [Your Store Name]. I'm here to help you find the perfect products. How can I assist you today?"

Suggested Replies:
- “Show me the latest arrivals.”
- “I need help with my order.”
- “What are your store hours?”

3.3 Configuring the AI Engine & Instructions

1. Select AI Engine: Choose an engine like GPT4o

2. Instructions: You are a helpful assistant for [Your Store Name], specializing in [your products, e.g., electronics, fashion]. Assist customers with product inquiries, orders, and support. Use a friendly and professional tone.

3. Example Responses:

Customer: “Do you have the new [Product Name]?”
Bot: “Yes, it’s available in various sizes/colors. Would you like to add it to your cart?”

4. Advanced Settings:

Streaming Response: Enable for real-time typing effect.
Temperature: Set between 0.2 to 0.5. Otherwise keep default settings
Maximum Tokens: Use default unless specific needs arise.

5. Click “Apply Changes”.

4. Testing and Deployment

4.1 Testing the Chatbot

1. Use the built-in chat widget on the right to test interactions.

2. Sample Queries:

“Can you recommend a gift for a teenager?”
“How do I track my shipment?”
“What is your return policy?”

Note: Without storing a knowledge base of the business, the Ai chatbot will always make up answers or “hallucinate.” This is expected behavior and optimizing prompts or instructions is vital to steering the Bot responses for retail business use.

4.2 Refining Responses

Handle Off-Topic Questions:
- Update Instructions:
If a question is unrelated to our products or services, politely inform the customer that you can assist with store-related inquiries.
Apply Changes and retest.