Kenya Coffee School (KCS)

SaaS Roast Analytics Framework

For Advanced Roasting Certification & Industry Deployment

This framework outlines a cloud-based roast analytics and certification platform designed specifically for Kenya Coffee School (KCS). It integrates roast science, density modeling (820–850 g/L), sensory calibration, production consistency, and sustainability metrics into a unified digital ecosystem.

Aligned with benchmarking principles inspired by the Specialty Coffee Academy and localized for Kenyan origin realities.

1️⃣ PLATFORM VISION

🎯 Objective

To digitize roast training, certification assessment, and production analytics into a scalable, Africa-ready SaaS platform.

Core Outcomes

Standardized roast data logging
Automated performance scoring
Certification-level tracking
Energy & carbon benchmarking
AI-supported roast correction insights
Industry-grade quality control system

2️⃣ SYSTEM ARCHITECTURE OVERVIEW

Layer 1: User Interface (Frontend)

Web dashboard
Mobile app (Android-first for Kenya market)
Instructor admin panel

Layer 2: Analytics Engine (Core Logic)

Roast curve analyzer
DTR calculator
Density-to-charge model
RoR anomaly detection
Carbon estimator
Certification scoring engine

Layer 3: Cloud Infrastructure

Secure database
Role-based access
API integration with roasting software
Data export (PDF, Excel)

3️⃣ USER ROLES & ACCESS LEVELS

Role	Permissions
Student Roaster	Log roasts, view analytics
Certified Roaster	Advanced analytics access
Instructor	Evaluate, grade, calibrate
Lab Manager	Production tracking
Admin	System control & certification approval

4️⃣ CORE MODULES

🔥 Module 1: Roast Data Logging Engine

Inputs:

Green density (g/L)
Moisture %
Batch size
Charge temperature
Turning point
First crack
Drop temperature
Total time
Development time
Gas level profile
Airflow settings

Outputs:

DTR %
Weight loss %
Roast classification
Stability score
Profile deviation alerts

📊 Module 2: Roast Performance Scoring Engine

Scoring Formula Model

Total Score =
(Technical Consistency 35%)

(Profile Accuracy 20%)
(RoR Stability 15%)
(DTR Target Accuracy 10%)
(Sensory Score 20%)

System auto-calculates pass/fail (≥80%).

📈 Module 3: Rate of Rise (RoR) Anomaly Detection

AI Logic Flags:

Crash before first crack
Flick after first crack
Excessive RoR spike (>20°C/min)
Flatline baking pattern

System provides corrective recommendations:

Reduce gas at X minute
Increase airflow during Maillard
Extend development 10–15 sec

🌱 Module 4: Density-Based Roast Predictor

Algorithm Model:

If Density > 840 g/L
→ Increase charge +3–5°C
→ Extend Maillard +20 sec
→ Increase airflow mid-phase

Platform generates predictive roast strategy before roast begins.

👃 Module 5: Sensory Calibration Portal

Digital cupping forms
Blind triangulation tracking
Calibration deviation score
Instructor approval panel

System measures sensory consistency across students.

🏭 Module 6: Production Consistency Dashboard

Displays:

Drop temperature control chart (±2°C band)
DTR trend over 30 batches
Batch weight loss trend
Roast defect frequency
Green lot performance comparison

🌍 Module 7: Sustainability & Carbon Monitor

Inputs:

Gas usage per batch
Electricity consumption
Batch size

Outputs:

CO₂/kg roasted
Monthly carbon trend
Efficiency score
Sustainability certification badge

Optional integration with carbon-credit frameworks.

5️⃣ CERTIFICATION TRACKING SYSTEM

Each student profile includes:

Logged roast count
Average DTR accuracy
Sensory score trend
Production case submissions
Instructor evaluation notes
Final certification status

Automated certificate generation with QR verification.

6️⃣ DASHBOARD METRICS

Student Dashboard

Personal roast consistency score
DTR accuracy graph
Sensory calibration rating
Pass probability indicator

Instructor Dashboard

Class performance overview
Flagged students
Batch comparison tool
Audit trail

Industry Dashboard (Premium)

Cost-per-kg calculator
Energy efficiency index
Yield tracking
SKU performance

7️⃣ DATA ANALYTICS CAPABILITIES

Heatmap of roast variability
Density-performance scatter plot
RoR trend modeling
Profile similarity comparison tool
Roast fingerprint library

8️⃣ SaaS BUSINESS MODEL

Tier 1 – Student Plan

Roast logging
Basic analytics
Certification tracking

Tier 2 – Roastery Plan

Production dashboard
Cost modeling
Sustainability tracking

Tier 3 – Institutional License

Multi-user access
Instructor evaluation system
Certification management
API integrations

9️⃣ TECH STACK RECOMMENDATION

Frontend:

React / Flutter

Backend:

Node.js / Python

Database:

PostgreSQL

Analytics:

Python-based ML models

Hosting:

AWS / Azure Africa region

🔟 EXPANSION ROADMAP

Phase 1 – KCS Internal Deployment
Phase 2 – Kenyan Roastery Integration
Phase 3 – East Africa Expansion
Phase 4 – Continental Certification Network
Phase 5 – Global Roast-Origin Benchmark Index