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Case StudyManufacturing
Precision Industrial OEM

Precision Industrial OEM Cuts Technician Training Time by 45% with BundlAR's No-Code AR Platform

A global manufacturer of hydraulic systems replaced 3-day classroom onboarding with AR-guided field training delivered through BundlAR — reducing time-to-competence for new technicians from weeks to days.

8 min readFeb 2025
Primary Impact
45%
Reduction in technician training time
45% reduction
Training Time
From 3 days to 1.6 days per cohort
6 weeks → 4 hours
Content Update Cycle
For specification changes
74% → 96%
Completion Rate
Training completion improvement
32% drop
Field Error Rate
On first-time assembly tasks within 60 days

The Challenge

The client onboarded 200+ field technicians annually across 14 countries, each requiring 3 days of classroom instruction on complex hydraulic assembly and servicing procedures. Training materials existed only in PDF format, required translation into 8 languages, and became outdated whenever product specifications changed. Senior engineers spent significant time delivering training that could not be scaled or standardised.

The Solution

BundlAR was deployed to convert PDF service manuals into interactive AR step-by-step guides. Non-technical instructional designers used BundlAR's no-code CMS to overlay 3D animations, annotations, and procedure checklists directly onto physical components viewed through a mobile device. Content was published instantly across all regions without app store submissions.

Implementation

Content Migration

Instructional designers converted 140 PDF procedures into BundlAR AR guides over six weeks using the no-code CMS. No engineering team involvement was required.

Multilingual Rollout

BundlAR's overlay system handled all 8 languages from a single content source, eliminating the separate translation and redistribution workflow.

Analytics & Iteration

Step-level completion data identified three procedures with high pause rates, prompting content revisions that further reduced error rates in subsequent cohorts.