Inception55
← Back to Success Stories

/ case study /

Precision Manufacturing Corp

style image
Industry:ManufacturingRevenue:$35MEmployees:180

/ the challenge /

The Challenge
  • ▸CNC machine downtime averaged 12% (well above the 5-7% industry standard)
  • ▸Quality defects cost $400K annually in rework and scrap
  • ▸Supply chain visibility was non-existent until parts arrived (or didn't)
  • ▸Month-end reporting required 5 full days of manual data compilation from 8 different systems
  • ▸Production planning was reactive rather than proactive
Background

/ the solution /

The Solution

Phase 1

Connected IoT sensors on 40 CNC machines to predict maintenance needs

Phase 2

Integrated quality systems for real-time defect detection and root cause analysis

Phase 3

Built supply chain visibility platform with supplier risk alerting

Phase 4

Automated reporting and implemented AI-driven production optimization
Background

/ the results /

The Results

After 12 Months

Key Metrics

  • ▸Machine downtime reduced from 12% to 5.5%
  • ▸Quality defects decreased by 65%
  • ▸Supply chain disruptions identified average 18 days earlier
  • ▸Month-end reporting automated—now takes 2 hours instead of 5 days
  • ▸Production throughput increased 14% without additional capital investment

Financial Impact

Total annual benefit

$1.4M

Inception55 investment

$108K/year

ROI

1,296% (13x return)

Payback period

Less than 1 month

"

Inception55 gave us capabilities we thought were only available to companies 10x our size. The predictive maintenance alone paid for the entire platform in the first quarter. Now we're using it across every part of our operation.

D

David Martinez

VP of Operations

Ready to see similar results?

Schedule a working session with our team to map your use cases and build a proof of value with your data.

Schedule a Demo