AI Retail Experience for Allbirds: case study
Project brief
Use AI to extend Point of Sale (POS) beyond checkout to inventory, fit and sales support for Allbirds stores.
Solution
AI extends POS beyond checkout
- Scans products Computer vision
- Measures feet Computer vision
- Improves the customer experience LLMs + predictive models
Pain points
Point of Sale is limited to checkout
- Payments only
- No inventory support
- No sales support
Pain points
Stores can’t scale personal service
- Limited staff
- Wool makes measuring shoes harder
- High returns
Strategy
Extend POS beyond checkout with three kinds of AI
Scans shoes and measures feet through the kiosk camera.
- Product scan
- Foot measurement
- Inventory count
Writes product entries from a scan.
- Product details
- Inventory updates
- Staff assistant
Matches fit data to recommend shoe and size.
- Fit matching
- Size recommendation
- Sales insights
Diagram highlights: Allbirds + AI: in-store experience
Customer flow
AI handles four steps, so customers shop without waiting for staff.
AI-powered step
START
- Attract screen
- Tap to begin
SCAN A SHOE Computer vision
- Hold a shoe to the camera
- Matches style and color
PRODUCT DETAILS LLMs
- Price, sizes, colors
- Auto-written description
CHECKOUT
- Pay at the kiosk
- Email receipt
FIND MY FIT
- Choose men’s or women’s
MEASURE Computer vision
- Stand on the mat
- Length and width
PREFERENCES
- Activity, feel, color
YOUR MATCHES Predictive models
- Top picks and size
- Fit confidence
TRY ON
- Request a pair
- Ticket for pickup
Customer Mode · Interactive prototype
Open full screen (opens in a new tab)Staff flow
AI handles inventory, product entry and insights.
AI-powered step
- DASHBOARD Total sales, top products, sales growth, sales by employee
- Path 1 INVENTORY Computer vision Quantity, reorder level, supplier, location, batch, condition
- PRODUCT DETAILS LLMs Name, price, size, color, category, SKU, images
- Path 2 SEARCH Brand, keyword, category
- SEARCH RESULTS Filter by price, rating, availability, reviews
- Both paths PRODUCT PAGE
- CHECKOUT Name, email, phone, address, payment, shipping
- Path 3 PERFORMANCE Predictive models Sales insights from every sale
The steps are also listed as text before the diagram.
Staff Mode · Interactive prototype
Open full screen (opens in a new tab)Outcomes
A north star for AI in retail stores
-
Vision setting
AI as an extension of POS, not a separate tool.
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North star prototype
Customer and staff modes, ready to test.
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Alignment
One reference for product, engineering and retail.
- Faster product entry for staff
- More in-store use of POS beyond checkout
- Better staff retention
- Fewer returns through better fit