Ask what is happening in the operation.Get an answer built on your data.
INVO Operations Copilot connects data from ERP, MES, inventory, purchasing, quality and the data warehouse to answer operational questions, explain variances and lead the user to the right action.
Question
Why did yesterday's production finish 47 minutes behind plan?
- Production
- Line 3
- Yesterday
INVO Copilot
The delay came mostly from:
- 1Assembly — Line 3Throughput ran 14% below the expected rate.
- 2Batch #4821The cure stage took 22 minutes longer than comparable runs.
- 3Short staffingFinal assembly ran 3 technicians short between 11:00 and 13:00.
- Open Line 3
- Show batch #4821
- Compare with last week
Less searching. More answers.
You shouldn't have to knowwhich report holds the answer.
The data behind a single decision usually sits in several places: production, inventory, purchasing, quality and reporting. Operations Copilot lets you start from the business question instead of picking a module and filtering a dashboard.
The usual path
- ERP
- Production report
- Filter
- MES
- Export
- Excel
- Compare
- Conclusion
Why did material cost go up this week?
Answer
+$23K vs plan
Main factors
- Carbon fiber price+$9K
- Waste+$7K
- Consumption variance+$5K
- Everything else+$2K
Ask about the operation
One place to askabout the whole plant.
Production
- Which orders are at risk of running late today?
- Which line has the lowest throughput?
- Why is Line 3 running below plan?
Inventory
- Which component issues deviate most from expected consumption?
- What will we run out of in the next 48 hours?
Purchasing
- Which orders have to be placed today?
- Which carbon fiber supplier had the most delays in the last 90 days?
Quality
- Which batches carry the highest quality risk?
- Show every open quality deviation from this week.
Finance & leadership
- Which contracts are running below planned margin?
- What raised unit cost most this month?
Design engineering & bills of materials
- Which bills of materials carry the highest unit cost?
- Find bills of materials that could be optimized on cost.
Operations Copilot
Start the day with whatactually needs attention.
Morning operations brief
- Production186 orders4 at risk of running lateHighest risk: Assembly Line 3
- Inventory7 SKUs need attention2 criticalMost urgent: Airframe shell — shortage risk in 36 h
- Purchasing4 POs need a decisionSupplier ASupplier A: 38% delay risk
- Quality2 high-risk batchesBatch #28491Batch #28491: 76% quality risk
- Margin & cost3 contracts below planProgram AProgram A: −4.8 pp forecast margin
Where do you want to start?
- Show production risks
- Review purchasing
- Explain the margin drop
Management by exception
Don't ask about everything.Ask what needs a decision.
Items needing attention
12
- Critical
- 4
- Medium
- 5
- Low
- 3
Ranked by
- financial impact
- operational risk
- urgency
- probability of a problem
#1Component shortage risk
Airframe shell
- Potential impact on production
- $51K
- Action needed before
- 10:00
#2Production delay
Assembly Line 3
- Expected delay
- +72 min
- Contracts affected
- 3
#3Margin risk
Program A
- Forecast margin
- 26.8%
- Target
- 32%
Explain your operation
Don't just see the variance.Ask what may have driven it.
Why was carbon fiber consumption higher than plan yesterday?
Variance+10.3%
Most significant signals
- Batch #4821
- +58 kg vs expected
- Bill of materials #284
- Higher yield loss than the standard variant
- Line 2
- Historically higher consumption variability for this product group
- Waste
- +22 kg vs average
Next steps
- Open Batch #4821
- Compare bills of materials
- Check waste
Copilot shows the data and the factors associated with a variance. It does not present a correlation as a confirmed cause without the data to support it.
From answer to action
Don't stop at the answer.Move straight into the action.
Which components will we run short of by Friday?
3 SKUs need a response
- Carbon fiber
- short: 572 kg
- Epoxy resin
- short: 180 kg
- Copper wire
- short: 95 kg
User
Draft the recommended purchase orders.
Draft purchase orders
- Supplier BCarbon fiber 800 kg
- Supplier AEpoxy resin 200 kg
- Supplier CCopper wire 100 kg
Needs approval
- Review recommendations
- Approve
- Edit
Copilot can prepare actions in the system, but anything that carries a business decision stays with the user.
One copilot. The whole operation.
An answer can need datafrom several modules at once.
Is tomorrow's production plan safe?
- Demand26,400 units
- ComponentsCarbon fiber shortage risk
- SuppliersSupplier B — 94% on-time probability
- ProductionLine 3 — 112% capacity utilization
- StaffingAssembly −4 technicians
- QualityNo significant forecast risks
Overall plan riskHigh
- Line 3 capacity
- Carbon fiber inventory
- Assembly headcount
How it works
From a question to an answerbuilt on data.
01 · Question
The user asks
“Why is production running late?”
02 · Context
Copilot reads the context
Who is asking, which site, which shift, which module, which production run, and the moment the question was asked.
03 · Data & tools
Copilot picks the sources
ERP, MES, WMS, purchasing, quality, the data warehouse and Knowledge Intelligence.
04 · Answer
Copilot answers
It analyzes, summarizes, explains, links back to the source data and proposes the next action.
Models & technology
The language model reads the question.INVO data and tools produce the answer.
- 01
Language model
What does the user want to know?
The LLM interprets a plain-language question and recognizes the intent: compare cost, find variances, explain the biggest differences.
- 02
Data layer
Which data is needed?
Copilot selects the right sources: orders, bills of materials, production, inventory, purchasing, quality and cost.
- 03
Analytical tools
How is the answer calculated?
Copilot can run data warehouse queries, aggregations, period comparisons, forecasting models, anomaly detection and other Intelligence functions.
- 04
Knowledge Intelligence
Which procedures or documents apply?
When the question is about a procedure, Copilot can draw on Knowledge Intelligence sources.
- 05
Answer presentation
How is the result delivered?
The model turns what the data and tools returned into a summary the user can act on.
The language model does not create operational data. Every number comes from INVO systems and tools.
Answers you can check
See wherethe answer came from.
Why did forecast margin drop?
−4.8 pp
Period
1–7 August
Data refreshed
12 min ago
Data sources
- MES · production execution
- WMS · component issues
- Purchasing · purchase prices
- Bill of materials #284
- Show the data
- Open the report
- See the method
Permissions and control
Copilot sees only whatthe user is allowed to see.
The system respects
- Role
- Site
- Organization
- Client
- Module
- Data permissions
- Action permissions
Copilot does not add a new permission layer. It inherits the security rules of INVO.
Production manager
Can
- Analyze production
- Check production inventory
- Prepare a recommendation
Cannot
- See full financial data
- Approve a PO above the limit
Business impact
Less time finding data.More time deciding.
- Analysis time ↓
Faster answers to operational questions
Less manual stitching of reports and data from several systems.
- Time to action ↓
From problem to action in one place
After the answer the user can move straight into the right process.
- Management by exception
Focus on what genuinely needs attention
Copilot ranks risks and exceptions instead of listing everything.
- Data access ↑
Answers without knowing the reports or SQL
A manager can ask the system in plain language.
- Decision quality ↑
More context at the moment of the decision
Copilot connects data from several areas of the operation.
- Knowledge access ↑
Operational data and procedures in one interface
A single question can need both at once.
Operations Copilot
Ask INVO whatneeds your attention.
See how Operations Copilot connects production, inventory, purchasing, quality and finance data to answer operational questions, explain variances and take the user from information to action.