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akeDataAnalyst/naqel_inspection_intel

Domaine:

agriculture

Type de record:

software
Créateur:
ake
Hôte:
Enterprise-Grade Intelligence Engine designed for leading Ethiopian coffee exporter # Naqel Inspection Intelligence System --- ## Description This project is an Enterprise-Grade Intelligence Engine designed for leading Ethiopian coffee exporter. It analyzes 2,300 high-fidelity inspection records to bridge the gap between warehouse quality control and financial profitability. The system automates the grading of coffee lots based on: - ECTA (Ethiopian Coffee and Tea Authority) standards - Naqel (CLU) export inspection standards This provides real-time visibility into export readiness and operational performance. --- ## The Problem: The $1.05M Inventory Block Romina PLC faced a major operational bottleneck: - 17.6% of total inventory (404 lots) failed Naqel export inspection - $1,050,000.00 in capital was trapped in rejected inventory ### Key Challenges - **Lack of Visibility** Inability to distinguish: - Total Losses (physical defects) - Near-Misses (moisture issues) - **Operational Inefficiency** Poor resource allocation due to unclear failure drivers - **High Volatility** Quality instability at washing stations (Astatke Menafesha) disrupted the: - 45-container weekly export cadence --- ## The Solution: Predictive Compliance & Recovery Modeling A Three-Phase Intelligence System was developed to transform raw inspection data into actionable strategy: ### 1. Compliance Engine - Automated grading logic for: - Grade 1 (Specialty) - Grade 2 (Premium) - Instantly flags non-compliant lots ### 2. Forensic Quality Audit - Conducted multivariate correlation analysis - Key insight: - Primary defects (-0.535 correlation) are the main driver of rejection - NOT farm altitude ### 3. The $215K Recovery Model - Built a "Rescue Filter" - Identified: - 83 high-quality lots failing only moisture criteria - Recovery opportunity: - $215,717.83 in blocked capital --- ## Strategic Recommendations Based on Deep Audit: ### Targeted Re-Drying - Re-process the 83 "Near-Miss" lots - Achieve < 11.5% moisture threshold - Unlock $215K revenue ### Station Stab …

Visit

github.com

Languages

Amharic

Licenses

MIT

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