A customer asks for a delivery date. You call the factory first.
Which process? Who is working on it? How much remains? The answers are scattered.
For factory owners, from business to the shop floorWin the right orders.
Win the right orders.
Keep production moving.
Follow up on customers, record factory progress and deliver finance work with evidence. YingEngine puts AI into specific tasks, starting with one work order so owners can spend less time chasing and more time deciding.
SiteOps, GrowthOS and FinanceOS are live. The ManufacturingOS work-order MVP is in development and validation.
Customer needsExplain products↘
- 01SiteOpsExplain products↓
- 02GrowthOSFollow opportunities↓
- 03ManufacturingOSExecute work orders↓
- 04FinanceOSReview delivery↓
◎People approve key decisions
Illustrative workflow · Connections are scoped per project
+ 01 / EVERYDAY REALITY
Three problems that can fill your whole day.
Production is reported. Payroll still needs another reconciliation.
Output, time, rejects and piece rates are recorded separately. Differences are hard to trace.
The factory stays busy. The business picture stays unclear.
Customer needs, sales, production and finance each hold a piece. You assemble the picture.
+ 02 / THE BUSINESS JOURNEY
From customers finding you to orders leaving the factory.
AI prepares information, content and tasks. Business systems keep the facts. Accountable people approve key actions. Connect the four product lines according to the project scope.
Explain what your products solve
Websites, technical content and multilingual presentation help customers understand your offer.
SiteOpsGive opportunities consistent follow-up
Organize requirements and follow-up tasks; people approve quotes and commitments.
GrowthOSTurn an order into a visible work order
The MVP starts with routes, materials, assignment, reporting and stock receipt.
ManufacturingOSSupport delivery with financial evidence
Organize evidence, accounting suggestions, review and reporting by client, book and period.
FinanceOS+ 03 / START WITH THE FACTS
Start with one work order and one production route.
Choose a product family and record who does the work, quantities, problems and finished goods. Build one useful workflow before changing the whole factory.
- 01Work order
- 02Materials
- 03Assignment
- 04Reporting
- 05Inspection
- 06Stock receipt
- 07Closure
Connect the processes
Keep route snapshots and dependencies; release later tasks using approved upstream output.
Match people and quantities
Validate assignments and pending or approved reports together to reject excess quantities.
Separate reporting from finished goods
Track process output and physical finished goods separately; receive stock before closing.
Keep time and pay evidence
Save time, break and price-rule snapshots against each production report.
Local validation has covered a manual route through orders, material issue, assignment, production reports, finished-goods receipt, closure and pay reconciliation. Factory conditions and pilot scope still need review. No public login is available.
+ 04 / AI WITH EVIDENCE
Real work-order facts give AI something useful to work with.
Planned factory AI builds on actual records: show the evidence, prepare a suggestion and let the owner of the decision confirm it. These capabilities require project validation.
Less copying
Extract order information and prepare a draft work order for the planner to verify.
Fewer rounds of questions
Prepare progress answers with traceable reporting and exception records.
Fewer overlooked exceptions
Organize delivery, quantity and quality exceptions for human decisions.
+ 05 / PRODUCT READINESS
A clear starting point for each stage.
Business workspaces
SiteOps, GrowthOS and FinanceOS are available with permissions and configured connections.
Work-order MVP
A local manual work-order loop exists; scope, pages and factory readiness remain under validation.
Factory AI
Order extraction, progress questions and exception suggestions are planned around actual records.
+ 06 / PILOT PATH
Prove one workflow before expanding.
Review a real order
Map products, routes, roles, dates and the most difficult step.
Define demo and pilot scope
Agree the data, terminals, roles, connections and preparation requirements.
Validate against factory facts
Reconcile quantities, time, stock and responsibilities, including exceptions and shift changes.
Expand what works
Add product lines, workshops or AI tasks after validation; scope necessary system connections.
+ 07 / MEASURE WHAT MATTERS
Measure results using your factory definitions.
Record a baseline and agree a review period. Evaluate real operational results rather than a vague efficiency promise.
Delivery
On-time delivery, overdue work orders and causes
Shop floor
Progress update timeliness and exception closure
Quantities
Consistency of reporting, completion and stock receipt
Business
Routine preparation time, review rework and follow-up
We already have an ERP. Is this relevant?+
Identify gaps in shop-floor records or collaboration first. Start with one workflow; ERP connections are scoped per project.
Must the whole factory change at once?+
Start with one product family and route. Review roles, factory conditions and acceptance criteria before defining the pilot.
Will AI schedule production or decide for the owner?+
Authorized people approve scheduling, quality release, quotes and financial judgments. Factory AI is planned; suggestions need sources and human confirmation.
Bring a work order
you are chasing today.
Start with delivery dates, progress, reporting, pay or the gap between a customer need and completed delivery. Define the first workflow worth proving together.
Book a work-order MVP demo