Connect to live data
Agents read orders, stock, routings and shop-floor events straight from the platform — no separate warehouse.
Add-on
AI Agents (Co-Pilot)
Anticipates bottlenecks, suggests the fix, you decide
AI co-pilot for planning, inventory and scheduling: recommendations and scenario simulations with human-in-the-loop approvals.
ตามคำขอ
Available forAdvancedEnterprise
What you get
- Bottleneck anticipation
- Inventory analysis and coverage advice
- Scheduling recommendations
- Scenario simulation
- Natural-language system overview
- Human-in-the-loop approvals
มันทำงานอย่างไร
AI Agents (Co-Pilot), ทีละขั้นตอน
เจ้าหน้าที่คอยดูข้อมูลที่คุณสร้างขึ้นแล้วและนำไปประกอบการตัดสินใจ
Detect and explain
Deviations, late risks and margin drops are flagged with the reasoning and the records behind them.
Propose the next action
Reschedule, expedite, re-quote — suggestions arrive as concrete actions a human can approve.
Learn from outcomes
Accepted and rejected suggestions tune what the agent surfaces next time.
ดูสิ AI Agents (Co-Pilot) ทำงานตามกระบวนการของคุณเอง
จองเซสชั่น 30 นาที เราจะอธิบายขั้นตอนเหล่านี้พร้อมกับข้อมูลของคุณและแจ้งประมาณการการเปิดตัวให้กับคุณ AI Agents (Co-Pilot).
ความสามารถ
Everything inside AI Agents (Co-Pilot)
Bottleneck anticipation
Inventory analysis and coverage advice
Scheduling recommendations
Scenario simulation
Natural-language system overview
Human-in-the-loop approvals
Bottleneck and shortage warnings before they hit the schedule
Every recommendation paired with a simulated outcome
Human-in-the-loop approval with a recorded decision trail
Plain-language questions about plan, stock and order status
Planning intelligence on top of your data
The Co-Pilot continuously reads the same operational data your planners do — orders, capacity, stock, lead times — and flags where the plan is about to break.
What it does
- Anticipates bottlenecks before they hit the schedule
- Analyses inventory and suggests coverage actions
- Recommends scheduling changes with the reasoning shown
- Simulates scenarios so you can compare outcomes
- Natural-language system overview and entity creation
Human in the loop
Agents propose; people approve. Every recommendation is reviewable and traceable.
The agents read the same plan, stock and shop-floor data your team does, and they work ahead of it: flagging the work centre that will become the bottleneck next week, the material that will run short before its replenishment lands, the order whose promised date has quietly become unrealistic. Each finding comes with a proposed action and the simulated consequence of taking it. Nothing is applied automatically — a planner approves, adjusts or rejects, and the decision is recorded. You can also simply ask, in plain language, what the state of production is.
คำถามที่พบบ่อย
AI Agents (Co-Pilot) — frequent questions
คำตอบสั้น ๆ สำหรับคำถามที่ทีมงานถามก่อนเปิดใช้งานโมดูลนี้.