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 β Uses AI to extract the entities, filters, and columns you need.
-
Knows the Maximo schema β Identifies the correct tables (ASSET
, WORKORDER
, LOCATIONS
, etc.).
-
Generates optimized SQL β Joins and filters are structured to use indexed columns where possible.
-
Presents clean results β Data is displayed in a readable table for quick analysis.
Real Use Cases
-
Asset Manager:
"Which pumps haven't been serviced this year?" β Instant asset list with last service dates.
-
Maintenance Planner:
"Show me all high-priority work orders this week" β Complete work order details, no SQL required.
-
Operations Team:
"What's the status of equipment in Building A?" β Status overview in seconds.
Technical Foundation
-
Streamlit for the user-friendly interface
-
Pandas for fast data manipulation
-
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 π
The next release will go beyond data retrieval:
-
"Show me PM compliance trends this quarter" β Data + trend chart
-
"Asset failure rates by location" β Automatic bar chart
-
"Work order completion times" β Interactive graphs for analysis
Why This Matters
-
Democratizes Maximo data β Anyone can run queries without SQL skills
-
Reduces bottlenecks β No waiting for IT to build reports
-
Improves accuracy β Queries are consistent and based on schema rules
-
Speeds decisions β 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
-
Better handling of non-persistent attributes via Maximo's APIs
-
More advanced visualization and export options
π¬ 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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