AI Readiness Score
Good customer and product data in Shopify, plant care expertise in Notion
Small team but already using Claude shows AI comfort
Budget range appropriate for planned automation scope
Clear repetitive tasks in customer support and content creation with defined workflows
3-6 month timeline realistic for phased rollout
Strong API ecosystem with Shopify, Klaviyo, and Notion all well-documented
How This System Works
Architecture
Three specialized agents work together to automate plant care expertise delivery: support bot handles customer questions, seasonal agent drives repeat engagement, and content assistant maintains marketing pipeline. All agents share the centralized plant knowledge base in Notion.
Data Flow
Customer purchase data from Shopify combines with plant care expertise in Notion to power personalized interactions. The support bot provides instant help while logging interactions in Klaviyo for follow-up. The seasonal agent uses this same data to send timely care tips that drive natural repurchases. Content flows from trending topics through Claude to Notion for review, then to Shopify and social channels.
Implementation Phases
Structure plant care database in Notion, set up API connections and webhooks
Deploy and test customer support automation with human oversight
Launch personalized seasonal campaigns and monitor performance
Implement content generation workflow with editorial review
Prerequisites
- -Organize plant care knowledge in structured Notion database
- -Set up customer support email integration
- -Configure Klaviyo customer segments
- -Create content calendar template
Assumptions
- -Customer support volume is 20+ plant care questions per week
- -Team has 2+ hours weekly for content creation currently
- -Seasonal campaigns will drive 15%+ increase in repeat purchases
- -Plant care knowledge base can be systematically documented
Recommended Agents (3)
How It Works
- 1Receive customer inquiry
Capture customer message and identify sender
Email/Chat webhook - 2Lookup customer purchase history
Get plants purchased, dates, and order details
Shopify API - 3Query plant care database
Find specific care instructions for customer's plants
Notion API - 4Generate personalized response
Create helpful, specific advice based on context
Claude API - 5Send response and log interaction
Reply to customer and track support interaction
Klaviyo API
Data Flow
Inputs
- Customer Email — Plant care question or issue(text)
- Shopify — Customer purchase history and plant details(JSON)
- Notion — Plant care instructions and troubleshooting guides(JSON)
Outputs
- Email Response — Personalized plant care advice(text)
- Klaviyo — Support interaction logged for follow-up(JSON)
Prerequisites
- -Structured plant care database in Notion
- -Customer support email integration
Error Handling
Forward to human support with context
Provide basic guidance and recommend expert consultation
Integrations
| Source | Target | Data Flow | Method | Complexity |
|---|---|---|---|---|
| Shopify | Claude API | Customer purchase history and product data | api | low |
| Klaviyo | Claude API | Customer engagement data and email templates | api | low |
| Notion | Claude API | Plant care knowledge base and content calendar | api | moderate |
| Claude API | Klaviyo | Generated email content and customer responses | webhook | low |
Schedule
continuous0 9 * * MON0 8 * * WEDRecommended Models
| Task | Recommended | Alternatives | Est. Cost | Why |
|---|---|---|---|---|
| Plant Care Support | Claude Sonnet 4 | GPT-4 | $60-80/month | Strong reasoning for plant diagnostics and personalized advice generation |
| Content Creation | Claude Haiku 3.5 | GPT-4o mini | $30-40/month | Cost-effective for high-volume content generation with good quality |
| Email Campaigns | Claude Sonnet 4 | GPT-4 | $40-60/month | Better at maintaining consistent brand voice and personalization |
Impact
What Changes
Quality Gains
- ✓Consistent, accurate plant care advice
- ✓Personalized seasonal recommendations
- ✓Regular, helpful content that builds trust
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What's next?
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