Case 02 · NIKE Retail Innovation · In-Store Retail & Spatial AI
Autonomous In-Store Kiosk with Geo-Inventory Mesh & Spatial AR
Omnichannel inventory orchestration and LiDAR try-on deployed across flagship stores.
60 FPS
Spatial 3D Engine
Native RealityKit rendering
0.8s
Geo-Routing
Cross-store inventory lookup
99.98%
Fleet Uptime
ASAM lockdown via Jamf Pro
3D AR
LiDAR Try-On
Real-time sizing visualization
01
The Engineering Challenge
Flagship retail stores lose high-value sales when popular sneaker sizes or apparel colorways are out of stock on physical shelves. Customers had no convenient way to inspect high-fidelity 3D assets, locate the missing item in nearby regional stores, or arrange immediate click-and-collect fulfillment.
Lead Omnichannel Systems & Spatial Computing Partner
WebDior architected and built the full kiosk operating system, from the native Swift client running in locked Autonomous Single App Mode (ASAM) to the distributed real-time inventory mesh and barcode scanner hardware drivers.
Key Engineering Deliverables
Native Swift client with RealityKit 3D model visualization and ARKit LiDAR try-on
Geo-spatial inventory routing mesh connecting regional store warehouses via Kafka
Autonomous Single App Mode (ASAM) configuration and remote MDM telemetry
Direct hardware driver integration for Zebra scanners and contactless POS payment
02
Production Architecture Blueprint
Kiosk Client OSVerified Spec
Native Swift application configured in Autonomous Single App Mode (ASAM)
Standard: 100% crash recovery and automated reboot without staff intervention
Guarantees tamper-proof 24/7 in-store operational reliability in public spaces.
Spatial 3D ViewerVerified Spec
RealityKit + Metal GPU pipeline rendering high-fidelity .usdz assets
Standard: Locked 60 FPS under continuous interactive manipulation
Allows shoppers to inspect intricate fabric textures and shoe soles in lifelike detail.
Geo-Inventory MeshVerified Spec
Kafka event stream + Redis Geospatial indices indexing regional stock
Standard: < 800ms query across 50+ regional retail locations
Instantly directs the shopper to the nearest store holding their exact size.
Enables frictionless self-service lookup and instant ship-to-home checkout.
03
Technologies & Frameworks
Swift
Client App
ARKit
Spatial Computing
NestJS
Backend API
Kafka
Event Streaming
Redis
Geo Index
AWS
Cloud Services
Docker
Deployment
04
Technical Implementation Deep-Dive
01
Omnichannel Fulfillment
Zero Lost Sales: Dynamic Geo-Inventory Routing
When a customer scans a sneaker barcode and discovers their size is absent from the current store floor, the kiosk does not show a dead-end out-of-stock message. It queries the regional inventory mesh in under 800 milliseconds.
The system identifies the nearest sister store holding stock, displays the driving distance and store hours, and lets the customer either reserve it for immediate pickup or order it directly to their home doorstep.
“Sub-second geo-tagged inventory lookup turning stockouts into confirmed orders.”
02
Spatial AR & RealityKit
Photorealistic 3D Inspection on Commercial Kiosk Displays
Shoppers interact with high-resolution 3D digital twins of signature footwear. Utilizing Apple's RealityKit and Metal framework, users can rotate, zoom, and inspect material cross-sections at an uncompromising 60 frames per second.
Integrated LiDAR cameras calculate foot dimensions and provide real-time fit guidance, dramatically reducing apparel return rates.
03
Enterprise Resilience
Autonomous Lockdown and Zero-Maintenance Fleet Ops
Public interactive terminals face aggressive stress: power cycles, network dropouts, and customer tampering. We integrated Apple's Autonomous Single App Mode with Jamf Pro MDM.
If any underlying service encounters an unrecoverable exception, the runtime executes a sub-second clean state reset without exposing the underlying desktop OS.
05
Measurable Business Impact
60 FPS
Smooth RealityKit 3D inspection on enterprise-grade in-store kiosks
0.8s
Regional inventory lookup across 50+ retail store locations
99.98%
Fleet availability with autonomous MDM self-healing
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