KPI & Analytics Demo
Manufacturing KPI, Cost, Quality & Productivity Analytics
A concept dashboard showing how managers can monitor output, efficiency, rejection, downtime, wastage cost, skill gaps, and operational improvement priorities.
Daily Output
842 units
+12% vs last week
Efficiency
84%
Target: 90%
Rejection Rate
3.8%
Target: below 2%
Downtime
46 min
Main loss: Machine 4
Wastage Cost
$1,240
Weekly estimate
Training Need
6 staff
Skill gap detected
Rejection Pareto View
Stitching78%
Skiving52%
Leather Selection35%
Moulding22%
Finishing14%
AI Analytics Interpretation
Stitching and skiving are contributing the majority of quality losses. These areas should be prioritised for skill review, standard method training, and supervisor coaching.
Machine 4 downtime is creating an output gap. Preventive maintenance and pre-shift readiness checks are recommended.
Six employees may need targeted training based on efficiency and rejection pattern comparison.
Management Decision Support
KPI analytics can help management identify where productivity is lost, which problems should be solved first, what training is required, where costs are increasing, and which improvement actions should be prioritised for measurable impact.