A transportation client couldn't explain their CapEx decisions to leadership. The logic lived in spreadsheets and the heads of a few long-tenured employees.
So, we built an AI layer on top of their existing systems, to connect patterns across 15 years of fragmented asset data their BI tools couldn't see.
Result: $100-170M in savings opportunities, validated by their finance team.
What We’ll Cover:
- Their CapEx process before and after
- How we built the AI layer without disruption
- How finance validated the findings
- What we'd change if starting today
Who This Is For:
You approve CapEx but can't fully explain decisions to your board. Your asset data sits in disconnected systems. You're skeptical of AI hype but curious about practical applications.
CIOs, CFOs, VPs of Operations at mid-size and enterprise companies.
Speakers:
- Viktoriia Dvornyk, Senior AI Engineer, N-iX
- Rostyslav Fedynyshyn, Director, Head of Data & Analytics Practice, N-iX
About N-iX
N-iX is a global software solutions and engineering company with over 2,400 tech experts, helping leading organizations drive business value through cloud, data analytics, and AI.
