What is Andea MES IQ

Andea MES IQ is an AI assistant for DELMIA Apriso MES, built by Andea. It adds a conversational interface directly into Apriso screens, so users can type questions in plain English and receive data-driven answers from their own Apriso database. 

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 analyzes Apriso data in real time, identifies trends, and presents results within seconds — replacing the need for manual dashboard navigation, custom reports, or SQL queries. 

Aprisoiq Desktop Mock

How Andea MES IQ works

Andea MES IQ leverages Andea's pre-built framework, seamlessly connected to the standard DELMIA Apriso data model.

Key architectural highlights:

Component What it does Detail
Andea's AI Chatbot Framework Pre-built conversational AI engine connected to standard DELMIA Apriso data model Reduces implementation time vs custom LLM integration
Flexible LLM infrastructure Supports on-premise and cloud-hosted large language models Client chooses deployment model based on IT 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 Andea MES IQ understands your naming conventions, not just Apriso defaults
Scalable design Extends to new KPIs, use cases, and multisite deployments Add new data domains without re-architecture

Key capabilities

Capability What Andea MES IQ does Example query
Conversational data access Accepts plain-English questions and returns structured answers from Apriso data "What was the OEE for Line 3 last week?"
Real-time KPI monitoring Pulls live metrics directly from DELMIA Apriso — always current, no data lag "Show me today's yield rate by work center"
Downtime root-cause analysis Identifies 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?"

Example questions you can ask Andea MES IQ

OEE & Performance

  • "What's my OEE trend over the last 7 days?"
  • "Which work center has the lowest OEE this week?"
  • "Compare OEE across all lines for the current shift."

Quality & Yield

  • "Which product has the lowest yield rate?"
  • "Show me scrap rate by product for this month."
  • "Are there any quality alerts on Line 2?"

Downtime & Availability

  • "What are the top reasons for downtime this week?"
  • "How much unplanned downtime did we have yesterday?"
  • "Which machine had the most stops in the last 24 hours?"

Production Output

  • "Show me capacity vs. actual production by work center."
  • "What's the throughput for Product X today?"
  • "How does this week's output compare to last week?"

Aprisoiq Chat Mock

What business value does Apriso 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 English — 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 Apriso 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 technical architecture using Andea’s prebuilt framework configured for the client’s Apriso environment. 
    • Deliverables: Solution architecture document

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

    • Configure the AI assistant, integrate with DELMIA Apriso data, 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

Andea Logo
  • 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.  
  • 780+ MOM/APS projects delivered across 270+ sites for 80+ global companies. 

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

Why Andea
Baner CTA Background
See how an AI-powered MES can increase productivity on your shop floor.

Start your Andea MES IQ PoC with Andea today. 

Request Your POC