Job-level costing
Material, labour, machine time and rejects costed against every job.
Industry brief ยท Manufacturing & Industrial
Reiiel helps manufacturers see true cost per job, plan maintenance before breakdowns, and connect the shop floor to the office.
Connected machines, predictive maintenance and real-time data are redefining manufacturing. Many plants still quote from estimates and learn their margins at year end.
Unplanned downtime, costing that's never checked against actuals, quality issues found late and data trapped on the shop floor.
Predictive maintenance, connected factories, job-level costing and automated quality tracking.
Built on the tools you already run, with a person approving anything that touches money or customers.
Material, labour, machine time and rejects costed against every job.
Early warning of failures from machine data.
Live status of jobs, machines and delays.
Defects and rework recorded and costed as they happen.
Job cards and time logs captured digitally, not on paper.
Margin, throughput and quality in one view.
Three workflows we'd typically fix first, working on your real data by day 5.
TodayMargins known at year end
After the sprintTrue cost per job from material, time and rejects
TodayBreakdowns fixed as they happen
After the sprintMaintenance scheduled from machine hours and history
TodayRejects noted on paper
After the sprintRejects logged and costed against each job
By logging machine hours and failures digitally and scheduling maintenance before breakdowns, starting with your most critical machines.
A factory where machines, people and systems share data in real time, so decisions run on facts instead of memory.
Yes. Recording rejects against each job is often the fastest way to find hidden margin loss. Our Operating Picture engine was built on exactly this problem.
In 30 minutes we'll find one workflow worth fixing and tell you honestly whether a sprint makes sense.