Manufacturing teams often discover a production problem long after it has happened, because the information they need is recorded manually and assembled later. This case study describes how a centralised Production Management solution built on Power Apps and Power Automate gave manufacturing teams live production data, automated reporting and faster visibility of operational delays.
In many manufacturing environments the production data exists. It just arrives too late and in too many forms to act on. By the time the numbers are assembled, the shift is over and the problem has already cost output.
Explore workflow automationA manufacturing team found itself unable to track production status and operational performance in real time. Manual recording created production bottlenecks, reporting was delayed, and communication gaps between operational teams meant that a problem on the line was known in one place and unknown in another.
Problems are surfaced after the shift, not during it. The window for a quick response has already closed.
Without live data, response depends on someone noticing, then finding someone else who can act.
Different lines report in different forms, making comparison difficult and reconciliation a manual exercise.
Operational teams work from different pictures of the same shift, so coordination becomes a conversation about facts rather than action.
The underlying pattern is the same as in many operational environments: the data exists, but the system around it does not support the decision that needs to be made. The result is reduced production oversight and operational inefficiency that accumulates quietly across shifts.
Using Power Apps and Power Automate, FlexiSolutions developed a centralised Production Management Tool that collected live production data, automated reporting processes, and flagged operational delays or issues as they happened, rather than at the end of the shift.
Production data is captured as it happens rather than reconstructed afterwards, so the picture shown is the picture now.
Reporting runs through Power Automate, so it is generated consistently and on schedule without someone assembling it by hand.
When production falls behind or an issue is flagged, the relevant people are notified through the platform rather than discovering it later.
Production performance is presented in dashboards that production managers and supervisors can actually use during the shift.
Operational teams work from the same source, which reduces the communication overhead of reconciling separate records.
The structure of the tool follows the production environment it serves: lines, shifts, products and the metrics that matter.
On the numbers: the reported improvements on this programme were a 35% reduction in downtime, a 50% improvement in issue resolution speed, an 80% reduction in manual work, and a 25% increase in output. These figures describe the reported outcome of this engagement; they are not a projection of what a different production environment would achieve.
