AI
Success Story

How Adelaide Manufacturer Reduced Data Entry by 68%

Adelaide Manufacturing Co. | 85 employees

Manufacturing
Adelaide
14 weeks

3.7x

Return on Investment

68%
Time Saved
$94k
Annual Savings
68%

Reduction in Admin Time

Reduction in manual data entry
$94k

Annual Labor Savings

Annual operational savings
3.7x

Return On Investment

Payback in 3.2 months
14 weeks

Implementation Time

Kickoff to Go-Live
1

The Challenge

What was holding them back?

"Manual production data entry from equipment consuming 25 hours weekly. No real-time visibility into production metrics. Quality control issues discovered too late. Inventory tracking manual and error-prone with 12% discrepancy rate."

Adelaide Manufacturing Co. was facing significant operational hurdles. Manual processes were not only slow but error-prone, leading to client dissatisfaction and team burnout. The lack of scalable systems meant that taking on new business required linear headcount growth, crushing margins.

Manual Bottlenecks

Key staff spent ~40% of their week on low-value data entry instead of strategic work.

Data Fragmentation

Critical business data was siloed in disparate spreadsheets, making real-time reporting impossible.

2

The Solution

How we transformed their operations

Automated data capture from production equipment via IoT sensors and APIs. Built real-time production dashboards showing OEE metrics and quality data. Implemented predictive maintenance alerts. Automated inventory tracking with RFID integration. We deployed a layered automation architecture that addressed immediate pain points while building a foundation for future scalability.

Implementation Components

Technology Stack

Azure IoT HubCore Component
Power BICore Component
Custom API integrationsCore Component
RFID inventory systemCore Component

Implementation Journey

Weeks 1-2: Discovery & Design

Deep dive into current processes, stakeholder interviews, and solution architecture design.

Weeks 3-6: Build & Integration

Agile development of automation flows, dashboard configuration, and API integration.

Weeks 7-8: Testing & Training

User acceptance testing (UAT), bug fixes, and hands-on team training sessions.

Week 10: Go Live & Handoff

Full deployment, production monitoring, and final project sign-off.

3

The Results

Measurable impact across the business

Time Metrics5 days / month
1.5 days
70% Reduction
Error Rate8% manual error
0.5%
94% Improvement
Processing Cost$12.50 / unit
$1.80
85% Savings

"We finally have real-time visibility into what's happening on the factory floor. The productivity gains have been massive."

R
Robert Davies
Operations Manager, Adelaide Manufacturing Co.

Ready to write your success story?

Join Adelaide Manufacturing Co. and 50+ other Australian businesses scaling efficiently with AI. Book your free strategy session today.

No obligation Free 30-min Audit

Project Snapshot

Industry
Manufacturing
LocationAdelaide
ServicesOperations
Timeline14 weeks
Results3.7x ROI