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Case Study · Industrial Manufacturing

Predictive Equipment Maintenance & Inventory Copilot

Industrial RAG voice/text copilot and offline-first PWA decreasing unplanned machine downtime by 42% and saving £140,000 in Q1.

Primary Outcome

Unplanned machine downtime decreased by 42%, saving over £140,000 in the first quarter.

Background

The Challenge

Unplanned machine downtime on CNC equipment was costing £12,000 per hour. Maintenance engineers lacked a central interface to query machine error logs and historical repair manuals quickly.


Engineering Solution

The Solution

Deployed an offline-first Progressive Web App with a local RAG copilot for factory technicians troubleshooting machinery.

Factory Floor PWA

Tablet-optimized Progressive Web App used by engineers on the factory floor to diagnose errors and order parts instantly.

Industrial RAG Copilot

Voice and text assistant trained on equipment manuals, wiring diagrams, and telemetry logs for real-time troubleshooting.

Edge Cloud Infrastructure

Local processing on factory edge hardware, synchronizing back to central AWS cloud servers when online.


Impact

Key Outcomes

Unplanned machine downtime decreased by 42%.

Over £140,000 saved in the first quarter alone.

Voice & text RAG copilot querying technical manuals offline.

Tablet-optimized factory floor Progressive Web App.

Case Study Overview

Client Profile

ClientNORTH WEST PRECISION ENGINEERING
IndustryIndustrial Manufacturing
CategoryCloud Architecture & API Infrastructure

Technology Stack

AWS EdgePWAPythonLlamaIndexTypeScript
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