The Business Challenge

Manufacturers lose production time to equipment downtime, slow technician training,
and tribal knowledge that leaves when experienced workers retire.

Current Pain Points:

Paper Maintenance Logs: Lost records, illegible handwriting, no analytics
Tribal Knowledge: Critical repair know-how exists only in senior technicians' heads
Slow Technician Training: New hires take months to learn complex equipment repairs
Inefficient Repairs: Techs waste time searching manuals and consulting experts
No Predictive Maintenance: Reactive repairs lead to costly unplanned downtime
Parts Ordering Delays: Manual lookups slow down procurement process

What Success Looks Like:

AR overlay shows step-by-step repair instructions on equipment
Digital checklists guide technicians through maintenance procedures
Computer vision identifies parts and suggests replacements
Historical maintenance data enables predictive analytics
New technicians productive in weeks, not months
Reduced downtime and extended equipment lifespan

Our Solution: AR-Guided Maintenance Platform

Native iOS app with ARKit-powered repair overlays, digital work orders,
and maintenance analytics built on AWS serverless infrastructure with Vision Pro support.

Core Features

AR Repair Instructions

Point device at equipment to see AR overlay with step-by-step repair guidance, part highlights

Digital Work Orders

Create, assign, track maintenance tasks with photos, completion checklists, time tracking

Computer Vision Parts ID

Scan part to identify model number, view specs, check inventory, order replacements

Predictive Analytics

Machine learning predicts failure before it happens, schedule preventive maintenance

Knowledge Base

Searchable repair procedures, troubleshooting guides, equipment manuals, video tutorials

Vision Pro Compatible

Hands-free AR with spatial computing, voice commands, real-time remote expert assistance

Technical Architecture

Native Mobile Apps

iOS: Swift, ARKit for AR overlays, Vision framework for part recognition
Vision Pro: visionOS support for hands-free spatial computing experience
Computer Vision: ML models for part identification and defect detection
Offline-First: Download procedures for offline use in factory environment

AWS Serverless Backend

API Gateway + Lambda: Work order management, equipment database, analytics
DynamoDB: Maintenance history, equipment records, parts inventory
SageMaker: Predictive maintenance ML models, failure prediction
S3 + CloudFront: AR assets, 3D models, procedure videos, manuals
Rekognition: Computer vision for part identification

Deployment Timeline & Process

Week 1-2

Discovery & Modeling

Equipment audit, procedure digitization, 3D asset creation, workflow mapping

Week 3-5

Core Development

2D app, digital work orders, knowledge base, analytics dashboard

Week 6-7

AR Implementation

AR overlays, computer vision, Vision Pro optimization (optional)

Week 8

Testing & Launch

On-site testing, technician training, pilot deployment, rollout

Deployment Models Available

Private Instance

Dedicated AWS infrastructure under your account. Full control and data ownership.

White-Label Multi-Tenant

Shared infrastructure, your branding. Lower cost, faster deployment.

Phased AR Rollout

Launch 2D version in 8 weeks, add AR features in 12-week timeline.

Expected Business Impact

40%

Faster Repair Times

AR guidance and digital checklists accelerate maintenance work

60%

Reduction in Training Time

New technicians productive quickly with guided procedures

25%

Less Unplanned Downtime

Predictive maintenance prevents failures before they occur

Additional Benefits

Knowledge Preservation

Capture expert knowledge before senior technicians retire

Compliance Documentation

Complete audit trail of all maintenance activities

Parts Optimization

Analytics reveal high-failure parts for vendor negotiations

Extended Equipment Life

Proper maintenance protocols increase asset lifespan

Manufacturing

Manufacturing AR-Guided Equipment Maintenance