The Daily Challenge for Maximo Users
You need to know which assets are overdue for preventive maintenance. Simple enough… until you open your SQL editor and realize you're joining multiple tables, remembering column names, and trying to get the filters right.
A typical query might look like this:
Accurate? Yes.
Fast for non-technical users? Definitely not.
My Solution: Natural Language Maximo Queries
I built a Maximo chatbot that turns plain-English questions into optimized SQL queries.
Instead of wrestling with syntax, you can simply ask:
"Show me assets with overdue preventive maintenance"
The chatbot handles the rest - identifying the right tables, joining them correctly, and returning the results in a clean format.
How It Works
-
Understands your question – Uses AI to extract the entities, filters, and columns you need.
-
Knows the Maximo schema – Identifies the correct tables (ASSET
, WORKORDER
, LOCATIONS
, etc.).
-
Generates optimized SQL – Joins and filters are structured to use indexed columns where possible.
-
Presents clean results – Data is displayed in a readable table for quick analysis.
Real Use Cases
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Asset Manager:
"Which pumps haven't been serviced this year?" → Instant asset list with last service dates.
-
Maintenance Planner:
"Show me all high-priority work orders this week" → Complete work order details, no SQL required.
-
Operations Team:
"What's the status of equipment in Building A?" → Status overview in seconds.
Technical Foundation
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Streamlit for the user-friendly interface
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Pandas for fast data manipulation
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Schema-aware AI trained on Maximo's database structure
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Error handling to guide the user when a query can't be generated
What's Next in V2 📊
The next release will go beyond data retrieval:
-
"Show me PM compliance trends this quarter" → Data + trend chart
-
"Asset failure rates by location" → Automatic bar chart
-
"Work order completion times" → Interactive graphs for analysis
Why This Matters
-
Democratizes Maximo data – Anyone can run queries without SQL skills
-
Reduces bottlenecks – No waiting for IT to build reports
-
Improves accuracy – Queries are consistent and based on schema rules
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Speeds decisions – Insights in seconds, not hours
Feedback Welcome!
This is still under active development, and I'm testing it with real-world Maximo datasets to refine:
-
Query performance on large databases
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Better handling of non-persistent attributes via Maximo's APIs
-
More advanced visualization and export options
💬 What's the Maximo query that takes you the longest to build? Share it below - I'd love to see if this tool can solve it.
#Maximo #EAM #AI #DataAccess #AssetManagement #Innovation #IBMCommunity
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Mohamed Ghareeb
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