Metronom

Metronom is our component for evaluating how plans turn out in reality. Instead of comparing with a theoretical baseline, Metronom compares actual-vs-actual distributions and shows how different strategies play out over time. This allows teams to see what works (or doesn't work) and helps them understand why. The result? Better planning precision, increased punctuality, and smarter, evidence-based decisions.

Metronom can be applied across a wide range of industries and use cases. At its core, it works by connecting three key elements:

• Real-world events with timestamps – This could be when a product moves through a manufacturing step, when a train passes a signal, or when a process milestone is reached.
• Plans – What was supposed to happen and when? This includes scheduled times, estimated steps, and planned sequences. It also tracks how the plan has changed over time.
• Comparisons over time – By mapping this together, Metronom can highlight patterns, deviations, trends, and variations — and show how different plans or conditions impact real outcomes.

Key features

• Lead time analysis: break down flows to reveal where time is lost
• Actual‑vs‑actual comparison: compare outcomes across plans, periods, or scenarios
• Discover patterns: visualize how key items move through time/space; spot trends and disruptions
• Time‑distance plots: analyze movement patterns and performance
• Outcome‑based planning: validate or challenge assumptions before locking plans
• Integrates into workflows: connect with planners’ tools and external data sources
• Built for complexity: handle large, multidimensional datasets with traceability
• Highly configurable: tailor metrics, filters, and views to your needs
• Automation support (tbd): train decision models and suggest alternative plans via APIs