Shift planning has long been seen as a basic operational task where you assign hours, fill roles, and keep things running. But what if the shift itself became a strategic asset acting as a smart, structured data layer that powers better reporting, resource planning, and even AI-driven decision-making?
In this clip, WorkAxle founder Mat Diab walks through how shift-level data can unlock a new kind of efficiency that doesn’t just keep people scheduled, but helps your entire operation run smarter.
“You have more data with your data and that’s where the value starts to multiply.”
Here’s what that looks like in action:
- Each shift can be segmented by role, time type, or purpose, giving managers a granular view of what’s happening
- Tags and metadata can be applied to include things like equipment, uniforms, meet-up locations, and more
- Cost centers and work orders can be layered in, helping connect hours worked to budgets, business units, or project codes
- All of this lives in a single interface, giving managers the ability to filter, approve, and report with far more context and clarity
- And because everything is structured, labeled, and centralized, AI tools and reporting engines have richer data to work with, which means better forecasts, smarter alerts, and fewer blind spots
Watch the clip to see how shift-level visibility is helping companies move from reactive scheduling to proactive workforce strategy and why the best shift planning builds momentum.