For fashion and apparel brands
Run each drop with evidence your team can check.
Your order, size and return data stays in a workspace reserved for your organization. Each number carries its source evidence and a path back to the underlying order. Your team reviews every audience and creative asset before release.
The records behind each collection
Your existing commerce stack holds the proof.
Orders, variants, returns and inventory provide the commercial context. Marketing sources show how customers reached the collection.
- Shopify
- Klaviyo
- GA4
- Meta
- Orders
- Products and variants
- Returns
- Inventory
Read size and fit by variant
Connect returns to the original product, size and order. Show your team where fit patterns repeat across a collection.
Plan drops from actual demand
Compare the products and sizes bought during each selling period. Ground collection decisions in orders and available inventory.
Build a precise restock audience
Group consented customers by their size, product and collection history. Keep the audience rules visible for review.
From source records to the next drop
Give each collection a clear evidence trail.
The engagement follows the path from connected systems to approved campaign work. Your team can inspect every stage.
Link
Connect the records behind the collection.
Bring orders, products, returns, inventory and marketing activity into your isolated workspace.
Reconcile
Match customer activity to products and sizes.
AIRA connects the commercial question with the relevant orders, variants and return records.
Check
Review the audience and its supporting evidence.
Your team verifies the rules, source records and order-backed figures before using the result.
Release
Move approved work into the campaign plan.
Use the saved segment, reviewed copy and approved imagery for the drop your team is preparing.
Workflows & demos
Give every collection a clearer working brief.
Frame season planning, drop calendars, collection ad concepts and launch assets around the job at hand. The demos show where evidence ends and your team's approval begins.
Season Campaign Calendar
A month of sends planned around the drop, not around the guess.
- Klaviyo connected
- Data access on
The prompt
Look at how our Klaviyo campaigns performed over the last 90 days, then build me a 30-day campaign calendar for next month. Give it to me as a table with the date, campaign type, audience and subject line angle for each send.
Run in AIRASeason Campaign Calendar
Table in chat
Drop Content Calendar
Two weeks of launch content, art-directed and queued before the drop.
The prompt
Plan a two-week organic content calendar across LinkedIn, Instagram and email for our spring launch. Generate the visuals and queue everything in the Studio for review.
Run in AIRADrop Content Calendar
Queued in the Studio
Collection Ad Concepts
Three concepts for the new collection, on brand from the first draft.
- Brand DNA set
The prompt
Pull our Brand DNA, then create three Meta ad concepts for our spring collection — headline, primary text, and a 4:5 image for each.
Run in AIRACollection Ad Concepts
Three ad concepts
Drop Launch Kit
Email, social, and a hero image, ready before the drop lands.
- Brand DNA set
The prompt
We're launching the new trail pack on 15 September. Write the announcement email and three social posts in our brand voice, and generate a hero image to go with them.
Run in AIRADrop Launch Kit
Copy set with a hero image
Evidence before release
Keep collection data separate and decisions accountable.
Each organization works within its own boundary. Answers retain their source trail, and campaign work waits for human sign-off.
- Separate data boundaries for every organization
- Visible sources for commercial findings
- Order-level support for revenue claims
- Manual approval for audiences and assets
Size, season and returns