KidStyle Boutique — Children's clothing DTC, seasonal inventory

AI deployment blueprint for Children's clothing DTC, seasonal inventory. Automates seasonal inventory using Shopify, Google Sheets, Mailchimp, Claude.

3 agents3 integrations12h freed/week4-6 weeks for first automated markdowns7h setupSimple

Shopify Google Sheets Mailchimp Claude

AI Readiness Score

72/100

RUN

data maturity70

Historical sales data exists but may need cleaning and structuring

team capacity65

Small team but familiar with current tools, may need support for initial setup

budget alignment75

Budget range supports essential agents with room for growth

automation readiness75

Clear seasonal patterns and inventory data available through Shopify

timeline feasibility80

3-4 month timeline is realistic for phased implementation

integration complexity78

Shopify has robust APIs, Google Sheets integration is straightforward

How This System Works

Architecture

Three specialized agents working with Shopify and Google Sheets to optimize seasonal inventory management through automated analysis, predictions, and actions

Data Flow

Shopify serves as the primary data source for sales, inventory, and return information. Google Sheets acts as the analysis workspace and dashboard. Claude processes the data to generate insights and recommendations, which either update Shopify directly or create action items for the team.

Implementation Phases

Foundation Setup2-3 weeks

Establish data connections and begin pattern identification

Return Analysis Agent

Size Intelligence2-3 weeks

Implement size prediction for next seasonal purchase

Size Prediction Agent

Automated Markdowns3-4 weeks

Deploy automated markdown system with safety controls

Seasonal Markdown Agent

Prerequisites

-Shopify API access
-Google Sheets setup
-Historical data cleanup
-Return reason standardization

Assumptions

-Shopify contains 2+ years of sales history
-Return reasons are trackable
-Team approves automated pricing changes within limits

Recommended Agents (3)

How It Works

1
Pull current inventory levels from Shopify
Get product quantities, variants, and last 30 days sales velocity
Shopify API
2
Calculate markdown recommendations
Analyze inventory velocity vs seasonal timeline, recommend discount percentages
Claude
3
Update pricing in Shopify
Apply approved markdowns automatically or queue for review
Shopify API
4
Log decisions to tracking sheet
Record markdown decisions for performance analysis
Google Sheets

Data Flow

Inputs

Shopify — Current inventory levels and sales data(JSON)
Google Sheets — Historical seasonal performance data(CSV)

Outputs

Shopify — Updated product pricing(API calls)
Google Sheets — Markdown decision log with rationale(CSV)

Prerequisites

-Historical sales data cleanup
-Seasonal calendar definition

Error Handling

warning

Shopify API timeout

Retry with exponential backoff

critical

Extreme markdown recommendation

Flag for manual review

Integrations

Source	Target	Data Flow	Method	Complexity
Shopify	Google Sheets	Inventory and sales data	api	moderate
Google Sheets	Claude	Historical analysis data	api	low
Claude	Shopify	Pricing updates and recommendations	api	moderate

Schedule

0 6 * * *

Seasonal Markdown AgentDaily at 6 AM EST

0 9 * * 0

Return Analysis AgentWeekly on Sundays at 9 AM EST

Recommended Models

Task	Recommended	Alternatives	Est. Cost	Why
Inventory analysis and markdown decisions	Claude Sonnet 3.5	GPT-4	$30-50/month	Strong analytical capabilities for pattern recognition in seasonal data
Size prediction modeling	Claude Sonnet 3.5	GPT-4	$20-35/month	Excellent at statistical analysis and recommendation generation
Return pattern analysis	Claude Haiku	GPT-3.5 Turbo	$15-25/month	Cost-effective for weekly batch processing of return data

Impact

What Changes

Before

Manual weekly inventory review taking 6+ hours

After

Automated daily analysis with exception-based review

Before

Gut-feel size ordering leading to 28% returns

After

Data-driven size distributions based on historical patterns

Before

Seasonal markdowns often 3-4 weeks too late

After

Proactive markdowns triggered by velocity analysis

Capacity Unlocked

12 hours per week freed up from manual inventory analysis, allowing focus on product sourcing and customer experience

Time to First Impact

4-6 weeks for first automated markdowns

Quality Gains

✓More data-driven purchasing decisions
✓Proactive markdown timing
✓Systematic return pattern identification

12h freed up/week$165/mo estimated cost

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What's next?

This blueprint is a starting point. Fork it, remix it, or build your own.