Manufacturing operations run on decisions. From the smallest adjustment on a production line to the biggest investment in new equipment, every choice impacts productivity, quality, safety, and costs. But in many organizations, decision-making is slowed by disconnected data, delayed reporting, and manual processes.

That’s where Decision Intelligence comes in — and where Webalo makes it real for the frontline workforce.

Downtime is one of the most expensive challenges organizations face.

Unplanned equipment failures can grind production to a halt, leading to missed delivery targets, wasted resources, and higher operating costs. Traditional maintenance strategies — whether reactive (fix it when it breaks) or preventive (scheduled at fixed intervals) — are no longer enough. Manufacturers need a smarter approach.

That’s where AI-powered predictive maintenance comes in.

The manufacturing workforce is at the center of one of the most critical transformations in industry today.

Labor constraints, the pressure to close skills gaps, and the push to achieve new levels of operational excellence are driving manufacturers to rethink how their frontline employees work, learn, and thrive in increasingly digital environments.

This is where the Connected Factory Worker comes in — not as a single technology, but as a way of thinking. It’s about using digital tools and data-driven processes to help workers operate seamlessly between the physical and virtual worlds. The result? Greater decision accuracy, faster knowledge transfer, and reduced variability on the shop floor.