Activechat Manual
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      • E-commerce NLP
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  1. Integrations
  2. Dialogflow

E-commerce NLP

PreviousContext management

Last updated 3 years ago

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When you enable both and , you can push data from your online store into the NLP engine to create and automatically.

The feature is available both for and integrations.

Open “Settings – Integrations” in the main menu on the left and click the gear icon in the Shopify or WooCommerce tile. Note the “Push to Dialogflow” button in the top right corner:

Sending e-commerce store data to the NLP agent

Don’t forget to add extra utterances for various products in the entity description to help AI detect specific products in natural language searches that your customers are doing.

Here’s a simple example of the natural language e-commerce product search utilizing the entities created automatically from the store inventory:

When you click that button (don’t forget to first!), Activechat will create in your agent for products and categories in your e-commerce store, and a sample “Show category” to search for a specific product category.

Sample intent for the natural language product category search

You can for your preferred training phrases, and use @product and @category entities in other intents that will trigger specific .

@product entity created from your e-commerce inventory

Notice that Activechat is using product and category IDs as reference values for the entities. It allows you to use entity value as a search parameter in and blocks when building conversations.

Example chatbot skill for the “Show category” NLP intent
customize this intent
skills in your chatbot
PRODUCT
CATEGORY
e-commerce
NLP integrations
intents
entities
Shopify
WooCommerce
connect your Dialogflow agent
intent
entities