AI process automation

Still running work orders on paper, chasing progress over WeChat?

In manufacturing, margins are quietly eroded by loose paper work orders, delayed reporting and quality issues you can't trace. Mengtu moves that workflow into a system — digitize first, then let AI warn you, nudge the right people and generate the reports.

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Traditional way vs. Mengtu system

Your shop-floor workflow is eating your margins

It isn't that your team isn't working hard — the process just isn't systematized. These four things happen every single day:

Paper + WeChat groups (where you are now)

  • Work orders passed by word of mouth; progress means asking everyone one by one
  • Reporting lands the next day; the numbers are always a beat behind
  • Inspection sheets get lost; bad batches are hard to trace
  • The boss can't see real-time production and decides at the weekly meeting

Mengtu AI workflow system (after upgrade)

  • Work orders pushed to teams and machines; progress visible in real time
  • Report from a phone; output and hours sync in seconds
  • Structured quality entry; every defect is traceable
  • A mobile dashboard keeps the boss on top of everything, anytime
Core modules

Four modules cover the shop floor’s most common pain points

No feature bloat — only what you use every day. Each module goes live on its own and is purchased as needed.

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Work order dispatch

Production work orders pushed to teams and machines, with status flowing in real time. See exactly who is on which step — and say goodbye to verbal dispatch.

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Mobile work reporting

Workers scan a code or pick a job on their phone to report output and hours. Works offline and syncs in seconds, so team leads stop chasing spreadsheets.

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Quality inspection (QC)

Inspection items captured in a structured form; defect cause, responsible process and batch are bound end to end — traceability goes from days to seconds.

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Boss's dashboard

Production progress, completion rate and defect rate on one screen, viewable from your phone anytime, with anomalies auto-flagged in red.

AI value-add layer

Digitize first, then make it smart

Once the foundation runs, AI isn't a gimmick — it actually saves labor. These capabilities stack on top of the modules:

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Smart alerts

Overdue work orders, due equipment maintenance and stock below the safety line are pushed automatically to the responsible person's WeChat.

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Voice work reporting

A worker says "Machine 3 finished 200 pieces" and AI turns it into structured data — no typing required.

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Automated daily report

A production daily report is generated automatically after each shift and sent straight to the boss on WeChat — no one needed to compile it.

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Scheduling suggestions

Production schedules recommended from due dates and capacity, to support planners' decisions — not replace them.

Industry templates

Preset by industry, live in days

Electronics, hardware, injection molding and assembly each have templates. Implementation = fill in parameters + load basic data. No code.

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Electronics

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Hardware

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Injection molding

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Assembly

Implementation flow

Diagnose → Configure → Go live, as fast as 3 days

Not a big project — a lightweight delivery. You bring the process; we configure the system.

1

Process diagnosis

One interview to map the current state and pain points of work orders, reporting and QC, and produce a rollout checklist.

2

Template configuration

Configure processes, teams and inspection items from the industry template, and import your basic data.

3

Go-live training

Workers use it the moment they scan in; admins see it in the backend. Up and running the same day.

AI value-add layer

Frequently asked questions

We're not a big operation — can we use this?
Perfectly. Modules are subscribed per account/function. A small plant can start with work orders + reporting, and a shop floor of a few dozen people can be live the same day.
What if workers aren't comfortable with smartphones?
The reporting screen keeps just two steps — pick a job, enter a number — with large buttons and 5 minutes of on-site teaching. Team leads can also report on their behalf.
Do we need to build it ourselves?
No. Implementation is template configuration + data import, live in 1–3 days, no coding, with more modules added later as needed.
Does it conflict with our existing ERP / finance systems?
No conflict. Mengtu focuses on the production-floor process layer and connects to existing systems via APIs — the data complements rather than replaces each other.
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Turn your shop-floor workflow into a visible system

Start with a free diagnosis and see where AI fits best in your process.

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