Chatbot education
👩🏼🎓 Bot Academy
Activechat Essentials
Platform Basics
Messaging Channels
Visual builder
TALK blocks – Basic interaction with bot users
EVENT blocks – Sending and catching bot events
SWITCH blocks – Creating conditional branches
DATA blocks – Working with variables
TIMER blocks – Creating delays, drip campaigns and urgency
JSON block – Calling external APIs
MEDIA & FILE block – sending documents or media
Bot settings
Integrations
Grow Tools
Bot examples
E-commerce Chatbots
E-commerce Basics
E-commerce Integrations
Displaying Products
Shopping cart
Payments
Accepting payments and sending invoices
Order updated
Sending order updates
Bot example
Sample Messenger store assistant
Advanced Chatbot Tools
Tracking site visits
Tracking code installation
Tracking page visits
Natural Language Chatbots
NLP Basics
Intents and Entities
NLP contexts
Building Dialogflow agent and connecting to Activechat
Sending user input to NLP engine
Triggering bot skills by intents and events
Working with entities
Slot filling
Using contexts
NLP best practices
Video tutorial
E-commerce Chatbots
Accepting payments and sending invoices
Sending order updates
Sample Messenger store assistant
Advanced Chatbot Tools
Tracking code installation Tracking page visits
Natural Language Chatbots
Intents and Entities NLP contexts Building Dialogflow agent and connecting to Activechat Sending user input to NLP engine Triggering bot skills by intents and events Working with entities Slot filling Using contexts NLP best practices
Products, tags, categories and variations
Chatbots are great for e-commerce. They can increase your sales, recover abandoned carts, send discount coupons, answer users’ questions, track orders and much more. The problem is that development of advanced chatbot takes lots of time and can be quite costly. At least, it used to be.
Now, with Activechat Visual Bot Builder, you can do all of this (and much more) easily and with great efficiency. So, let’s dive right into the process!
General e-commerce store framework
Most of modern e-commerce stores are based on the same model of product categories, products, tags and variations.
The store consists of multiple categories (“collections” in Shopify terminology), some of which can have sub-categories included. Categories are made of products, and each product can have multiple variations (size, color etc). Each product can have multiple properties – title, description, SKU, ID, price, discounted price, inventory quantity, pictures, links to web pages etc.
Tags help you group different products together, and also can be used to build so-called “smart categories” in Shopify. You can tag products in different categories and/or subcategories with the same tag, so you can create “virtual” category for this tag. Tags are also widely used for product searches.
This whole framework is easily accessible from your chatbot due to our advanced e-commerce integration tools.
