$5 Billion Worth of Equipment Tells Its Own Story
Global operator transforms equipment decisions with predictive maintenance.
- Context: Global terminal operator managing 50+ container terminals with $5 billion in critical assets worldwide.
- Challenge: Equipment replacements followed manufacturer timelines, causing premature replacements and unexpected breakdowns.
- Solution: All Your BI created data-driven asset lifecycle models analyzing real conditions and usage patterns.
- Result: Unified asset management system enabled predictive maintenance and optimized investment decisions.
- Impact: From guessing to knowing—equipment now signals its needs before problems become costly disruptions.
Picture managing equipment across 50+ terminals scattered worldwide—each crane, yard vehicle, and weighbridge representing millions in investment. This global operator faced the ultimate scaling challenge: how do you make smart equipment decisions when your assets span continents and every terminal operates under different conditions?
Challenge
Imagine making billion-dollar equipment decisions in the dark. Across 50+ terminals, every crane and vehicle followed the same manufacturer replacement schedule—regardless of whether it operated in harsh tropical conditions or moderate climates. This cookie-cutter approach created impossible choices: replace equipment prematurely across multiple terminals and burn millions, or risk simultaneous breakdowns that could paralyze operations globally.
Interview
Solution
All Your BI created a digital nervous system connecting every piece of equipment across all terminals. Instead of guessing, each asset now broadcasts its real condition—usage intensity, operational stress, environmental impact. We built intelligent lifecycle models that learn from actual equipment performance patterns, enabling precise replacement timing that varies by terminal, by equipment type, by real-world conditions.
Team
Execution
Picture a control tower with eyes on every terminal simultaneously. Our team unified 50+ scattered operations into one intelligent system where maintenance teams can instantly see which Shanghai crane needs attention while Hamburg's yard vehicles run smoothly for years longer. We delivered self-service analytics enabling each terminal's procurement team to make locally-optimized decisions based on globally-intelligent models.
Client
Global container terminal operator managing 50+ terminals worldwide with over $5 billion in critical assets, orchestrating international cargo flows that keep global commerce moving.
Latest work
At AYBi, we cut through the noise to give meaning to data. It’s not about technology — it’s about real connection. With the ambition of true data wizards, we transform insights into action. Expect everything.
