From intake to shipment, all online
The production mainline digitizes four stages — order filing, operation scheduling, floor reporting and piece-work confirmation; each stage can go live on its own, and together they form a closed loop.
Order intake
Maintain customers, categories, sample photos and process requirements together, then reuse them by order and step.
Step planning
Plans generated from templates, adjusted freely, every change on record.
Floor reporting
Workers report on phones, station screens refresh, managers see it the same second.
Piece-work confirmation
Summarize daily piece-work by worker and step, then let the worker confirm it.
FIG.02 — The production mainline
Order progress tracked by operation
Before: When batch progress is checked by word of mouth, different roles can give different answers.
Orders, operations and reports roll up layer by layer: the current operation, who is on it, quantities done and where it stalls — viewed per order in the management workspace.
Sample photos, QR codes, reporting evidence and history
Live data from compatible spray equipment
Machine operating data reports automatically
Before: Equipment parameters that drift unnoticed can increase rework and respraying risk.
Compatible spray equipment can upload pump pressure, flow, atomizing and other operating data. Equipment type, signals and site conditions are checked before connection.
Daily piece-work, confirmed the same day
Before: Paper piece-work slips can create month-end summary and confirmation disputes.
Reporting records are summarized by worker and production step. Workers can review and confirm the day's piece-work; this is production evidence, not a complete payroll system.
Daily piece-work summary and worker confirmation
Fixed station screens and live queues
Workshop status presented in one place
Before: The production picture lacks a central view and depends on word of mouth and individual experience.
Fixed station screens show the current task and what comes next. Management sees active orders, step progress and connected equipment status.
Statistics, alerts and efficiency insights
Before: The data is all in the system, but someone has to keep staring at it.
Statistics are visible the same day; alerts push out-of-range parameters and schedule risks to the management workspace; AI efficiency insights give scheduling a factual basis.
Production alerts
Four stages, rolled out step by step
Go live step by step. Start by getting shop-floor reporting and order progress working, then expand management and equipment scope.
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