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Autonomous classification, controlled vocabulary normalization, deterministic validation rules, and zero-hallucination sourcing for industrial supply chain catalogs.
Target Schema
252 Columns
100% Golden Match
Hallucination Gate
>= 80% Conf.
Strict Gatekeeper
LOV Resolution
99.4% Clean
Master Data Bound
Processing Time
< 1.8s / SKU
High Throughput
"HOM2100 SqD 100A 2P 120/240V Miniature Breaker -- Unbranded -- N/A"
⚠️ Placeholders Detected: 2 tokens cleaned
⚡ Schema Mapping: 11 Raw Supplier Headers
MPN: HOM2100
Current: 100 A (UOM normalized)
Voltage: 120/240 V AC
Poles: 2
Electrical > Distribution > Circuit Breakers
UNSPSC: 40151500
Rule Validation: 14/14 Passed
Every raw record travels through strict, auditable stages with clear confidence boundaries and validation rules.
CSV, XLSX, and multi-modal image scanning with automatic placeholder elimination.
Maps raw parts to Department > Class > Fine taxonomy and standardized UNSPSC codes.
Extracts technical specs from verified OEM sources with fraction & UOM normalization.
Resolves synonym drift into authoritative Master Data dictionary values.
Applies mathematical boundary rules, range bounds, and regex constraints.
Multi-factor probabilistic scoring with transparent provenance evidence.
Routes ambiguous records to human reviewer queues with side-by-side visual diffs.
Exports production-ready data into golden 252-Column Excel and CSV delivery format.
Engineered specifically for electrical, plumbing, HVAC, and industrial distributor datasets.
Maps hundreds of supplier variations (e.g. "Polycarbonate", "PC", "Polycarb") into exact approved master data terms automatically.
Strict 80% confidence threshold on visual OCR and web retrieval. Rejects guesses and flags unverified records for human review.
Every value change, confidence score calculation, and reviewer action is logged permanently in Azure SQL with ISO timestamps.
Ingest raw spreadsheets, inspect real-time confidence scores, eliminate placeholders, and export 252-column enterprise master records.