What is Andea MES IQ

Andea MES IQ is an AI assistant for manufacturing execution systems, built by Andea. It adds a conversational interface on top of your MES, so users type questions in simple words and get data-driven answers straight from their own production database. Andea MES IQ connects to your systems through API connectors

Andea MES IQ covers four core data domains: OEE metrics, quality and yield tracking, production output analysis, and downtime root-cause identification. The AI layer reads your MES data in real time, spots trends, and returns results in seconds. It replaces manual dashboard navigation, one-off custom reports, and hand-written SQL

How Andea MES IQ works

Andea MES IQ runs on Andea's pre-built AI framework, connected to your MES data model. For DELMIA Apriso it maps to the standard Apriso schema out of the box. For MES and other systems, the same framework adapts to that system's data structure.

Key architectural highlights:

Component What it does Detail
Andea's AI Chatbot Framework Pre-built conversational AI engine connected to your MES data model Cuts implementation time vs building a custom LLM integration
Flexible LLM infrastructure Supports on-premise and cloud-hosted large language models You choose the deployment model that fits your IT and security policy
Secure data layer All data stays within client's controlled environment No external data sharing - queries processed locally
Customizable semantic layer Maps customer-specific terminology and data structures MES IQ understands your naming conventions, not just system defaults
Scalable design Extends to new KPIs, use cases, and multisite deployments Add data domains without re-architecting the solution

Data security in Andea MES IQ

Your data stays in your environment. You choose which model runs Andea MES IQ and where it runs, and in every setup your production data stays inside your own infrastructure, under your control.

Open-source model on your own hardware

The option when nothing leaves your network. You run an open-source LLM on-premise or in your private cloud, so your questions, your MES data and the answers all stay inside your infrastructure.

Commercial model under a data protection agreement

The option when you want a commercial model without giving up control. It runs under a signed data-processing agreement that sets out how your data is handled and stored, and keeps it out of model training where the provider supports it.

Key capabilities

Capability What Andea MES IQ does Example query
Conversational data access Accepts simple questions and returns structured answers from your data "What was the OEE for Line 3 last week?"
Real-time KPI monitoring Pulls live metrics straight from your connected systems – always current, no data lag "Show me today's yield rate by work center"
Downtime root-cause analysis Finds top downtime reasons by machine, line, shift, or time period "What are the top 5 downtime causes this month?"
Cross-shift comparison Compares production metrics across shifts, lines, and time periods "Compare OEE between morning and night shift"
Trend detection Analyzes historical data to surface patterns and anomalies "Is there a quality trend on Product X over the last 30 days?"

MES data analysis and reporting with Andea MES IQ

Your team builds these reports by hand today. With MES IQ you just ask, using simple wording, and the answer comes back from your MES and whatever else you've connected.

Production and performance analytics

  • See your OEE split into availability, performance and quality – and where the biggest loss is coming from.
  • Rank the top downtime reasons by machine, line or shift, and see where they cluster.
  • Check throughput, capacity and output by line, work center, shift or period.
  • Compare shifts or lines side by side in one question.

Quality, scrap and traceability

  • Spot quality trends and see scrap and yield by product, with the main causes ranked.
  • Trace a batch or serial number both ways – from a part up to the finished good, or from the finished good back to its parts.
  • Flag obsolete master data (e.g. regarding materials, work centers, routings) and get cleanup suggestions.

On-demand MES reports

  • Ask „which machines made the most NOK parts this week?" and get a real answer, fast.
  • Compare OEE, yield or capacity across all your plants in one question, ranked, with a chart you can share.
  • Get answers as tables or charts you can export and reuse.

Combining MES data with Excel

  • Pull in your own figures from Excel – targets, planned volumes, standard costs.
  • Compare what happened on the floor against your own plan, not just what the MES holds.
  • Ask „how did output compare to plan last week?" and get both sides in one answer.

What business value does Andea MES IQ deliver? 

Time to insight
Without Andea MES IQ

2-4 hours (manual BI report or IT request)

With Andea MES IQ

~10 seconds (type a question, get an answer)

Data access
Without Andea MES IQ

Requires BI/SQL skills or IT support ticket

With Andea MES IQ

Any user asks in plain language, no training needed

Downtime response
Without Andea MES IQ

Detected in next-shift report or weekly review

With Andea MES IQ

Real-time alerts and root-cause queries during the shift

Cross-shift visibility
Without Andea MES IQ

Compiled manually from multiple dashboards

With Andea MES IQ

One question: “Compare shifts A, B, C for this week”

Scalability
Without Andea MES IQ

New KPI = new dashboard build (weeks)

With Andea MES IQ

New KPI = new semantic mapping (days)

Andea MES IQ Proof of Concept in 8–10 weeks 

Andea MES IQ starts with a structured 8–10 week Proof of Concept, designed to validate the AI assistant in your own MES environment before full deployment.

PoC overview (8–10 weeks)

  1. Phase 0: Homework (1 week)

    • Conduct AI readiness assessment by reviewing infrastructure, security, and integration constraints. 
    • Deliverables: AI readiness assessment report, infrastructure preparedness checklist. 

  2. Phase 1: Discovery & assessment (1–2 weeks)

    • Understand MES/MOM setup, define business objectives, and prioritize 3–5 high-value use cases (e.g., OEE, downtime, quality).
    • Deliverables: Use case definition, high-level solution concept

  3. Phase 2: Solution architecture & design (1–2 weeks)

    • Design the architecture using Andea's prebuilt framework, configured for your environment
    • Deliverables: Solution architecture document

  4. Phase 3: Implementation & validation (4–6 Weeks)

    • Configure the AI assistant, connect to your MES data through its API, test query accuracy, and pilot with real users
    • Deliverables: Configured & pilot-ready AI solution, UAT sign-off

  5. Phase 4: Go-live & continuous improvement

    • Train users, deploy in production, and iteratively enhance capabilities based on adoption and feedback. 
    • Deliverables: Training materials

Why Andea

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  • Technology partner for global manufacturers across aerospace, defense, automotive, medical devices, and FMCG.
  • Deployments for leaders like SNC, Hexcel, Kubota, Bombardier, and Doosan/Bobcat.
  • Team of 50+ DELMIA consultants with an average of 12+ years of MES implementation experience, operating across four continents.  
  • 810+ MOM/APS projects delivered across 280+ sites for 90+ global companies. 

See how Andea MES IQ works with your data. Start with a no-commitment POC. Start your Andea MES IQ POC with Andea today!

Two men of diverse ethnicities, one with curly hair in a green shirt and another bald in a white shirt, collaborate at desks with multiple computer monitors. They appear to be discussing production data, reviewing screens depicting manufacturing operations, a common scene in MES and APS software implementation.
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See how an AI-powered MES can increase productivity on your shop floor.

Start your Andea MES IQ PoC with Andea today. 

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