priteshloke/kepler-ops-anomaly-classifier

🤖 Kepler Ops — Enterprise Anomaly & Exception Classifier

Author: Kepler Operations Intelligence (getkeplerops.com)

This model classifies transaction narratives, invoice discrepancy notes, and operational logs into standard enterprise failure modes.

📊 Target Classes (6 Exception Categories)

1. VOLUMETRIC_WEIGHT_OVERCHARGE_CRITICAL
2. COURIER_FAKE_NDR_ATTEMPT_CRITICAL
3. AGENCY_RETAINER_SCOPE_CREEP_CRITICAL
4. SAAS_DORMANT_SEAT_LICENSE_WASTE_HIGH
5. FBA_AGED_INVENTORY_SURCHARGE_CRITICAL
6. NONE_CLEAN_TRANSACTION

💻 Quick Python Usage

from transformers import pipeline

classifier = pipeline("text-classification", model="priteshloke/kepler-ops-anomaly-classifier")
result = classifier("Carrier billed 3.5 kg on a 0.5 kg shipment.")
print(result)

🚀 Live Production Engine & Benchmarks

• Web Platform: getkeplerops.com
• Interactive Simulator: Hugging Face Space
• Evaluation Dataset: priteshloke/enterprise-operations-benchmark