Order Data Sync
Pulls customer orders and shipping status from Shopify on a schedule, so the bot always has live tracking data to answer fulfillment questions without querying Shopify on every chat message.
","targetProduct":"Shopify"},{"@type":"SoftwareSourceCode","name":"Klaviyo Event Trigger","programmingLanguage":"text/plain","codeSampleType":"snippet","text":"Trigger: Chatbot conversation marked as resolved (webhook from your app)\n\nCondition: If escalation_flag = true, skip; otherwise proceed\n\nThen:\n 1. Call Shopify Flow HTTP action to POST to Klaviyo\n 2. Send payload:\n - customer email\n - conversation summary\n - products mentioned (SKUs)\n - order numbers referenced\n - timestamp\n 3. Klaviyo receives event 'support_chat_resolved'\n 4. Your team sees message in Klaviyo customer profile","targetProduct":"Shopify"},{"@type":"SoftwareSourceCode","name":"Escalation & Agent Handoff","programmingLanguage":"GraphQL","codeSampleType":"snippet","text":"# Admin GraphQL\nmutation TagCustomerForSupport($customerId: ID!, $tags: [String!]!) {\n customerUpdate(input: { id: $customerId, tags: $tags }) {\n customer {\n id\n email\n tags\n }\n userErrors {\n field\n message\n }\n }\n}\n\nquery FetchEscalatedCustomers($query: String!) {\n customers(first: 50, query: $query) {\n edges {\n node {\n id\n email\n firstName\n lastName\n orders(first: 5) {\n edges {\n node {\n id\n name\n }\n }\n }\n }\n }\n }\n}","targetProduct":"Shopify"}]} "}]},{"@type":"HowToStep","position":3,"name":"Klaviyo Event Trigger","text":"When a chat conversation ends, sends the summary and customer info to Klaviyo so your support team sees context in their customer profiles and can follow up if needed. (Paste target: Shopify Flow editor: When → Then.)","itemListElement":[{"@type":"HowToDirection","text":"Trigger: Chatbot conversation marked as resolved (webhook from your app)\n\nCondition: If escalation_flag = true, skip; otherwise proceed\n\nThen:\n 1. Call Shopify Flow HTTP action to POST to Klaviyo\n 2. Send payload:\n - customer email\n - conversation summary\n - products mentioned (SKUs)\n - order numbers referenced\n - timestamp\n 3. Klaviyo receives event 'support_chat_resolved'\n 4. Your team sees message in Klaviyo customer profile"}]},{"@type":"HowToStep","position":4,"name":"Escalation & Agent Handoff","text":"If the bot can't answer a question, it automatically tags the conversation and routes it to your support team in Shopify or email. Your agents see the customer and their order history fetched from Shopify. (Paste target: Admin GraphQL explorer.)","itemListElement":[{"@type":"HowToDirection","text":"# Admin GraphQL\nmutation TagCustomerForSupport($customerId: ID!, $tags: [String!]!) {\n customerUpdate(input: { id: $customerId, tags: $tags }) {\n customer {\n id\n email\n tags\n }\n userErrors {\n field\n message\n }\n }\n}\n\nquery FetchEscalatedCustomers($query: String!) {\n customers(first: 50, query: $query) {\n edges {\n node {\n id\n email\n firstName\n lastName\n orders(first: 5) {\n edges {\n node {\n id\n name\n }\n }\n }\n }\n }\n }\n}"}]}]}
I'd build a chatbot backend that syncs Shopify orders on a schedule and exposes them via a retrieval-augmented chat interface. The merchant embeds a chat widget on their storefront, customers ask questions about their orders, and the bot pulls from live Shopify data to answer directly. When the bot hits the limits of what it knows, it escalates the conversation to a human agent with full context—tagging the customer and logging everything to Klaviyo so their support team sees the conversation history in one place.
Pulls customer orders and shipping status from Shopify on a schedule, so the bot always has live tracking data to answer fulfillment questions without querying Shopify on every chat message.
A chat widget that listens for customer messages, retrieves matching products and orders from your synced data, and generates answers. Embeds on the storefront and passes the customer ID from Liquid so the bot knows whose orders to show.
{% comment %}
Minimal chatbot embed snippet for storefront.
Paste into theme/snippets/support-chatbot.liquid and render it in your theme.
{% endcomment %}
<div id="support-chatbot-root" data-shop="{{ shop.permanent_domain }}" data-customer-id="{{ customer.id | default: 'anon' }}"></div>
<style>
#support-chatbot-root {
position: fixed;
bottom: 20px;
right: 20px;
width: 380px;
max-height: 600px;
border-radius: 8px;
box-shadow: 0 2px 12px rgba(0, 0, 0, 0.15);
z-index: 999;
}
</style>
<script src="https://your-app-domain.com/chatbot.js" defer></script>
When a chat conversation ends, sends the summary and customer info to Klaviyo so your support team sees context in their customer profiles and can follow up if needed.
Trigger: Chatbot conversation marked as resolved (webhook from your app)
Condition: If escalation_flag = true, skip; otherwise proceed
Then:
1. Call Shopify Flow HTTP action to POST to Klaviyo
2. Send payload:
- customer email
- conversation summary
- products mentioned (SKUs)
- order numbers referenced
- timestamp
3. Klaviyo receives event 'support_chat_resolved'
4. Your team sees message in Klaviyo customer profile
If the bot can't answer a question, it automatically tags the conversation and routes it to your support team in Shopify or email. Your agents see the customer and their order history fetched from Shopify.
# Admin GraphQL
mutation TagCustomerForSupport($customerId: ID!, $tags: [String!]!) {
customerUpdate(input: { id: $customerId, tags: $tags }) {
customer {
id
email
tags
}
userErrors {
field
message
}
}
}
query FetchEscalatedCustomers($query: String!) {
customers(first: 50, query: $query) {
edges {
node {
id
email
firstName
lastName
orders(first: 5) {
edges {
node {
id
name
}
}
}
}
}
}
}
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