An AI agent embedded in your workspace that understands your material master, workflow state, and quality metrics. Not a chatbot. A contextual data advisor connected to your live project data.
Ad-hoc questions require project manager involvement. By the time you get the answer, you have moved on to the next problem.
Pre-built views don't answer your specific, in-the-moment question. You end up scrolling through tabs looking for numbers that aren't there.
Exporting to Excel to answer a simple question breaks your flow. You lose time re-orienting every time you switch tools.
Descriptions, classifications, manufacturer data, quality scores, and duplicate status for every item in your catalog.
Batch status, pending reviews, completed items, and SLA tracking across your active projects.
Completeness scores, duplicate rates, classification coverage, and quality trends over time.
Improvements over time, cleansing velocity, regression detection, and before-and-after comparisons.
Data Advisor responds with context-aware answers grounded in your actual data.
"How many items still don't have a manufacturer assigned?"
1,247 of your 34,500 records (3.6%) are missing manufacturer data. The highest concentration is in Material Group 5410 — Electrical Components — with 312 items.
"What's the status of batch 47?"
Batch 47 has 2,100 items. 1,680 are complete (80%), 290 are in analyst review, and 130 are pending QA. Estimated completion: March 12.
"Show me the most common duplicate patterns in our electrical components"
I found 3 main clusters: (1) 47 records for circuit breakers with inconsistent amperage notation, (2) 31 motor starter records with manufacturer name variations, (3) 28 transformer records with duplicate size/voltage combinations.
"Which material groups have the lowest quality scores?"
Bottom 3: Gaskets & Seals (avg 34/100, 67% missing specifications), Fasteners (avg 41/100, incomplete size attributes), Electrical Components (avg 48/100, manufacturer name inconsistencies).
"How has our duplicate rate changed since we started?"
Your catalog-wide duplicate rate has dropped from 22.4% to 8.1% since the project began on Jan 15. The sharpest improvement was in Valves & Fittings, which went from 31% to 4.2%.
"What should we prioritize next?"
Based on spend-weighted quality impact, I'd recommend focusing on Material Group 5210 — Pumps. It has the highest annual spend ($4.2M) among groups with quality scores below 50. 340 items need attention.
Natural language, no query syntax or database knowledge needed.
Understands MRO terminology, your project state, and data relationships.
Specific numbers, trends, and recommendations from your actual data.
Cannot edit, delete, or approve records. Observes and reports only.
Scoped to your workspace. No cross-client data or aggregate benchmarks.
If it doesn't have enough data to answer confidently, it says so.
This is not a chatbot for "How do I use MaterialMaster?" It's an analytical tool for your data.
Check batch progress, identify problem areas, and prioritize work queues without waiting for reports.
Spend-weighted quality insights and category-level analysis to inform sourcing decisions.
Track governance effectiveness, quality trends, and project ROI at a glance.
Data Advisor is coming soon. Request early access to be among the first to try it, or contact us to learn more about how it can help your organization.