Accepting payments and sending invoices
Sending order updates
Sample Messenger store assistant
Intents and Entities
Building Dialogflow agent and connecting to Activechat
Sending user input to NLP engine
Triggering bot skills by intents and events
Working with entities
NLP best practices
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!
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.