# Bakery-IA: Complete Technical Documentation Summary

**For VUE Madrid (Ventanilla Única Empresarial) Business Plan Submission**

---

## Executive Summary

Bakery-IA is an **AI-powered SaaS platform** designed specifically for the Spanish bakery market, combining advanced machine learning forecasting with comprehensive operational management. The platform reduces food waste by 20-40%, saves €500-2,000 monthly per bakery, and provides 70-85% demand forecast accuracy using Facebook's Prophet algorithm integrated with Spanish weather data, Madrid traffic patterns, and local holiday calendars.

## Platform Architecture Overview

### System Design
- **Architecture Pattern**: Microservices (21 independent services)
- **API Gateway**: Centralized routing with JWT authentication
- **Frontend**: React 18 + TypeScript progressive web application
- **Database Strategy**: PostgreSQL 17 per service (database-per-service pattern)
- **Caching Layer**: Redis 7.4 for performance optimization
- **Message Queue**: RabbitMQ 4.1 for event-driven architecture
- **Deployment**: Kubernetes on VPS infrastructure

### Technology Stack Summary

**Backend Technologies:**
- Python 3.11+ with FastAPI (async)
- SQLAlchemy 2.0 (async ORM)
- Prophet (Facebook's ML forecasting library)
- Pandas, NumPy for data processing
- Prometheus metrics, Structlog logging

**Frontend Technologies:**
- React 18.3, TypeScript 5.3, Vite 5.0
- Zustand state management
- TanStack Query for API calls
- Tailwind CSS, Radix UI components
- Server-Sent Events (SSE) + WebSocket for real-time

**Infrastructure:**
- Docker containers, Kubernetes orchestration
- PostgreSQL 17, Redis 7.4, RabbitMQ 4.1
- **SigNoz unified observability platform** - Traces, metrics, logs
- OpenTelemetry instrumentation across all services
- HTTPS with automatic certificate renewal

---

## Service Documentation Index

### 📚 Comprehensive READMEs Created (15/21)

**Fully Documented Services:**
1. API Gateway (700+ lines)
2. Frontend Dashboard (800+ lines)
3. Forecasting Service (1,095+ lines)
4. Training Service (850+ lines)
5. AI Insights Service (enhanced)
6. Sales Service (493+ lines)
7. Inventory Service (1,120+ lines)
8. Production Service (394+ lines)
9. Orders Service (833+ lines)
10. Procurement Service (1,343+ lines)
11. Distribution Service (961+ lines)
12. Alert Processor Service (1,800+ lines)
13. Orchestrator Service (enhanced)
14. Demo Session Service (708+ lines)
15. Alert System Architecture (2,800+ lines standalone doc)

### 🎯 **New: Alert System Architecture** ([docs/ALERT-SYSTEM-ARCHITECTURE.md](./ALERT-SYSTEM-ARCHITECTURE.md))
**2,800+ lines | Complete Alert System Documentation**

**Comprehensive Guide Covering:**
- **Alert System Philosophy**: Context over noise, smart prioritization, user agency
- **Three-Tier Enrichment Strategy**:
  - Tier 1: ALERTS (Full enrichment, 500-800ms) - Actionable items requiring user intervention
  - Tier 2: NOTIFICATIONS (Lightweight, 20-30ms, 80% faster) - Informational updates
  - Tier 3: RECOMMENDATIONS (Moderate, 50-80ms) - Advisory suggestions
- **Multi-Factor Priority Scoring** (0-100):
  - Business Impact (40%): Financial consequences, affected orders
  - Urgency (30%): Time sensitivity, deadlines
  - User Agency (20%): Can user take action?
  - AI Confidence (10%): Prediction certainty
- **Alert Escalation System**: Time-based priority boosts (+10 at 48h, +20 at 72h, +30 near deadline)
- **Alert Chaining**: Causal relationships (stock shortage → production delay → order risk)
- **Deduplication**: Prevent alert spam by merging similar events
- **18 Custom React Hooks**: Domain-specific alert/notification/recommendation hooks
- **Redis Pub/Sub Architecture**: Channel-based event streaming with 70% traffic reduction
- **Smart Actions**: Phone calls, navigation, modals, API calls - all context-aware
- **Real-Time SSE Integration**: Multi-channel subscription with wildcard support
- **CronJob Architecture**: Delivery tracking, priority recalculation - why cronjobs vs events
- **Frontend Integration Patterns**: Complete migration guide with examples

**Business Value:**
- 80% faster notification processing (20-30ms vs 200-300ms)
- 70% less SSE traffic on domain pages
- 92% API call reduction (event-driven vs polling)
- Complete semantic separation of alerts/notifications/recommendations

**Technology:** Python, FastAPI, PostgreSQL, Redis, RabbitMQ, React, TypeScript, SSE

---

#### 1. **API Gateway** ([gateway/README.md](../gateway/README.md))
**700+ lines | Centralized Entry Point**

**Key Features:**
- Single API endpoint for 21 microservices
- JWT authentication with 15-minute token cache
- Rate limiting (300 req/min per client)
- Server-Sent Events (SSE) for real-time alerts
- WebSocket proxy for ML training updates
- Request ID tracing for distributed debugging
- 95%+ token cache hit rate

**Business Value:**
- Simplifies client integration
- Enterprise-grade security
- 60-70% backend load reduction through caching
- Scalable to thousands of concurrent users

**Technology:** FastAPI, Redis, HTTPx, Prometheus metrics

---

#### 2. **Frontend Dashboard** ([frontend/README.md](../frontend/README.md))
**800+ lines | Modern React Application**

**Key Features:**
- AI-powered demand forecasting visualization
- **Panel de Control (Dashboard Redesign - NEW)**:
  - **GlanceableHealthHero**: Traffic light status system (🟢🟡🔴) - understand bakery state in 3 seconds
  - **SetupWizardBlocker**: Full-page setup wizard (<50% blocks access) - progressive onboarding
  - **CollapsibleSetupBanner**: Compact reminder (50-99% progress) - dismissible for 7 days
  - **UnifiedActionQueueCard**: Time-based grouping (Urgent/Today/This Week) - 60% faster resolution
  - **ExecutionProgressTracker**: Plan vs actual tracking - production, deliveries, approvals
  - **IntelligentSystemSummaryCard**: AI insights dashboard - what AI did and why
  - **StockReceiptModal Integration**: Delivery receipt workflow - HACCP compliance
  - **Three-State Setup Flow**: Blocker (<50%) → Banner (50-99%) → Hidden (100%)
  - **Design Principles**: Glanceable First, Mobile-First, Progressive Disclosure, Outcome-Focused
- **Enriched Alert System UI**:
  - AI Impact Showcase - Celebrate AI wins with metrics
  - 3-Tab Alert Hub - Organized navigation (All/For Me/Archived)
  - Auto-Action Countdown - Real-time timer with cancel
  - Priority Score Explainer - Educational transparency modal
  - Trend Visualizations - Inline sparklines for pattern warnings
  - Action Consequence Previews - See outcomes before acting
  - Response Time Gamification - Track performance metrics
  - Full i18n - English, Spanish, Basque translations
- Real-time operational dashboard with SSE alerts
- Inventory management with expiration tracking
- Production planning and batch tracking
- Multi-tenant administration
- ML model training with live WebSocket updates
- Mobile-first responsive design (44x44px min touch targets)
- WCAG 2.1 AA accessibility compliant

**Business Value:**
- 15-20 hours/week time savings on manual planning
- 60% faster alert resolution with smart actions
- 70% fewer false alarms through intelligent filtering
- 3-second dashboard comprehension (5 AM Test)
- One-handed mobile operation (thumb zone CTAs)
- No training required - intuitive JTBD-aligned interface
- Real-time updates keep users engaged
- Progressive onboarding reduces setup friction

**Technology:** React 18, TypeScript, Vite, Zustand, TanStack Query, Tailwind CSS, Chart.js

---

#### 2b. **Demo Onboarding System** ([frontend/src/features/demo-onboarding/README.md](../frontend/src/features/demo-onboarding/README.md))
**210+ lines | Interactive Demo Tour & Conversion**

**Key Features:**
- **Interactive guided tour** - 12-step desktop, 8-step mobile (Driver.js)
- **Demo banner** with live session countdown and time remaining
- **Exit modal** with benefits reminder and conversion messaging
- **State persistence** - Auto-resume tour with sessionStorage
- **Analytics tracking** - Google Analytics & Plausible integration
- **Full localization** - Spanish and English translations
- **Mobile-responsive** - Optimized for thumb zone navigation

**Tour Steps Coverage:**
- Welcome → Metrics Dashboard → Pending Approvals → System Actions
- Production Plan → Database Nav → Operations → Analytics → Multi-Bakery
- Demo Limitations → Final CTA

**Tracked Events:**
- `tour_started`, `tour_step_completed`, `tour_dismissed`
- `tour_completed`, `conversion_cta_clicked`

**Business Value:**
- Guided onboarding reduces setup friction
- Auto-resume increases completion rates
- Conversion CTAs throughout demo journey
- Session countdown creates urgency
- 3-second comprehension with progressive disclosure

**Technology:** Driver.js, React, TypeScript, SessionStorage

---

#### 3. **Forecasting Service** ([services/forecasting/README.md](../services/forecasting/README.md))
**850+ lines | AI Demand Prediction Core**

**Key Features:**
- **Prophet algorithm** - Facebook's time series forecasting
- Multi-day forecasts up to 30 days ahead
- **Spanish integration:** AEMET weather, Madrid traffic, Spanish holidays
- 20+ engineered features (temporal, weather, traffic, holidays)
- Confidence intervals (95%) for risk assessment
- Redis caching (24h TTL, 85-90% hit rate)
- Automatic low/high demand alerting
- Business rules engine for Spanish bakery patterns

**AI/ML Capabilities:**
```python
# Prophet Model Configuration
seasonality_mode='additive'        # Optimized for bakery patterns
daily_seasonality=True             # Breakfast/lunch peaks
weekly_seasonality=True            # Weekend differences
yearly_seasonality=True            # Holiday/seasonal effects
country_holidays='ES'              # Spanish national holidays
```

**Performance Metrics:**
- **MAPE**: 15-25% (industry standard)
- **R² Score**: 0.70-0.85
- **Accuracy**: 70-85% typical
- **Response Time**: <10ms (cached), <2s (computed)

**Business Value:**
- **Waste Reduction**: 20-40% through accurate predictions
- **Cost Savings**: €500-2,000/month per bakery
- **Revenue Protection**: Never run out during high demand
- **Labor Optimization**: Plan staff based on forecasts

**Technology:** FastAPI, Prophet, PostgreSQL, Redis, RabbitMQ, NumPy/Pandas

---

#### 4. **Training Service** ([services/training/README.md](../services/training/README.md))
**850+ lines | ML Model Management**

**Key Features:**
- One-click model training for all products
- Background job queue with progress tracking
- **Real-time WebSocket updates** - Live training progress
- Automatic model versioning and artifact storage
- Performance metrics tracking (MAE, RMSE, R², MAPE)
- Feature engineering with 20+ features
- Historical data aggregation from sales
- External data integration (weather, traffic, holidays)

**ML Pipeline:**
```
Data Collection → Feature Engineering → Prophet Training
→ Model Validation → Artifact Storage → Registration
→ Deployment → Notification
```

**Training Capabilities:**
- Concurrent job control (3 parallel jobs)
- 30-minute timeout handling
- Joblib model serialization
- Model performance comparison
- Automatic best model selection

**Business Value:**
- **Continuous Improvement**: Models auto-improve with data
- **No ML Expertise**: One-click training
- **Self-Learning**: Weekly automatic retraining
- **Transparent Performance**: Clear accuracy metrics

**Technology:** FastAPI, Prophet, Joblib, WebSocket, PostgreSQL, RabbitMQ

---

#### 5. **AI Insights Service** ([services/ai_insights/README.md](../services/ai_insights/README.md))
**Enhanced | Intelligent Recommendations**

**Key Features:**
- Intelligent recommendations across inventory, production, procurement, sales
- Confidence scoring (0-100%) with multi-factor analysis
- Impact estimation (cost savings, revenue increase, waste reduction)
- Feedback loop for closed-loop learning
- Cross-service intelligence and correlation detection
- Priority-based categorization (critical, high, medium, low)
- Actionable insights with recommended actions

**Insight Categories:**
- **Inventory Optimization**: Reorder points, stock level adjustments
- **Production Planning**: Batch size, scheduling optimization
- **Procurement**: Supplier selection, order timing
- **Sales Opportunities**: Trending products, underperformers
- **Cost Reduction**: Waste reduction opportunities
- **Quality Improvements**: Pattern-based quality insights

**Business Value:**
- **Proactive Management**: Recommendations before problems occur
- **Cost Savings**: €300-1,000/month identified opportunities
- **Time Savings**: 5-10 hours/week on manual analysis
- **ROI Tracking**: Measurable impact of applied insights

**Technology:** FastAPI, PostgreSQL, Pandas, Scikit-learn, Redis

---

#### 6. **Sales Service** ([services/sales/README.md](../services/sales/README.md))
**800+ lines | Data Foundation**

**Key Features:**
- Historical sales recording and management
- Bulk CSV/Excel import (15,000+ records in minutes)
- Real-time sales tracking from multiple channels
- Comprehensive sales analytics and reporting
- Data validation and duplicate detection
- Revenue tracking (daily, weekly, monthly, yearly)
- Product performance analysis
- Trend analysis and comparative analytics

**Import Capabilities:**
- CSV and Excel (.xlsx) support
- Column mapping for flexible data import
- Batch processing (1000 rows per transaction)
- Error handling with detailed reports
- Progress tracking for large imports

**Analytics Features:**
- Revenue by period and product
- Best sellers and slow movers
- Period-over-period comparisons
- Customer insights (frequency, average transaction value)
- Export for accounting/tax compliance

**Business Value:**
- **Time Savings**: 5-8 hours/week on manual tracking
- **Accuracy**: 99%+ vs. manual entry
- **ML Foundation**: Clean data improves forecast accuracy 15-25%
- **Easy Migration**: Import historical data in minutes

**Technology:** FastAPI, PostgreSQL, Pandas, openpyxl, Redis, RabbitMQ

---

## Remaining Services (Brief Overview)

### Core Business Services

**7. Inventory Service** ([services/inventory/README.md](../services/inventory/README.md))
**1,120+ lines | Stock Management & Food Safety Compliance**

**Key Features:**
- Comprehensive ingredient management with FIFO consumption and batch tracking
- Automatic stock updates from delivery events with batch/expiry tracking
- HACCP-compliant food safety monitoring with temperature logging
- Expiration management with automated FIFO rotation and waste tracking
- Multi-location inventory tracking across storage locations
- Enterprise: Automatic inventory transfer processing for internal shipments
- **Stock Receipt System**:
  - Lot-level tracking with expiration dates (food safety requirement)
  - Purchase order integration with discrepancy tracking
  - Draft/Confirmed receipt workflow with line item validation
  - Alert integration and automatic resolution on confirmation
  - Atomic transactions for stock updates and PO status changes

**Alert Types Published:**
- Low stock alerts (below reorder point)
- Expiring soon alerts (within threshold days)
- Food safety alerts (temperature violations)

**Business Value:**
- Waste Reduction: 20-40% through FIFO and expiry management
- Cost Savings: €200-600/month from reduced waste
- Time Savings: 8-12 hours/week on manual tracking
- Compliance: 100% HACCP compliance (avoid €5,000+ fines)
- Inventory Accuracy: 95%+ vs. 70-80% manual

**Technology:** FastAPI, PostgreSQL, Redis, RabbitMQ, SQLAlchemy

**8. Production Service** ([services/production/README.md](../services/production/README.md))
**394+ lines | Manufacturing Operations Core**

**Key Features:**
- Automated forecast-driven scheduling (7-day advance planning)
- Real-time batch tracking with FIFO stock deduction and yield monitoring
- Digital quality control with standardized templates and metrics
- Equipment management with preventive maintenance tracking
- Production analytics with OEE and cost analysis
- Multi-day scheduling with automatic equipment allocation

**Alert Types Published (8 types):**
- Production delays, equipment failures, capacity overload
- Quality issues, missing ingredients, maintenance due
- Batch start delays, production start notifications

**Business Value:**
- Time Savings: 10-15 hours/week on planning
- Waste Reduction: 15-25% through optimization
- Quality Improvement: 20-30% fewer defects
- Capacity Utilization: 85%+ vs 65-70% manual

**Technology:** FastAPI, PostgreSQL, Redis, RabbitMQ, SQLAlchemy

---

**9. Recipes Service**
- Recipe management with versioning
- Ingredient quantities and scaling
- Batch size calculation
- Cost estimation and margin analysis
- Production instructions

---

**10. Orders Service** ([services/orders/README.md](../services/orders/README.md))
**833+ lines | Customer Order Management**

**Key Features:**
- Multi-channel order management (in-store, phone, online, wholesale)
- Comprehensive customer database with RFM analysis
- B2B wholesale management with custom pricing
- Automated invoicing with payment tracking
- Order fulfillment integration with production and inventory
- Customer analytics and segmentation

**Alert Types Published (5 types):**
- POs pending approval, approval reminders
- Critical PO escalation, auto-approval summaries
- PO approval confirmations

**Business Value:**
- Revenue Growth: 10-20% through improved B2B
- Time Savings: 5-8 hours/week on management
- Order Accuracy: 99%+ vs. 85-90% manual
- Payment Collection: 30% faster with reminders

**Technology:** FastAPI, PostgreSQL, Redis, RabbitMQ, Pydantic

---

**11. Procurement Service** ([services/procurement/README.md](../services/procurement/README.md))
**1,343+ lines | Intelligent Purchasing Automation**

**Key Features:**
- Intelligent forecast-driven replenishment (7-30 day projections)
- Automated PO generation with smart supplier selection
- Dashboard-integrated approval workflow with email notifications
- Delivery tracking with automatic stock updates
- EOQ and reorder point calculation
- Enterprise: Internal transfers with cost-based pricing

**Alert Types Published (7 types):**
- Stock shortages, delivery overdue, supplier performance issues
- Price increases, partial deliveries, quality issues
- Low supplier ratings

**Business Value:**
- Stockout Prevention: 85-95% reduction
- Cost Savings: 5-15% through optimized ordering
- Time Savings: 8-12 hours/week
- Inventory Reduction: 20-30% lower levels

**Technology:** FastAPI, PostgreSQL, Redis, RabbitMQ, Pydantic

**12. Suppliers Service**
- Supplier database
- Performance tracking
- Quality reviews
- Price lists

### Integration Services

**13. POS Service**
- Square, Toast, Lightspeed integration
- Transaction sync
- Webhook handling

**14. External Service**
- AEMET weather API
- Madrid traffic data
- Spanish holiday calendar

**15. Notification Service**
- Email (SMTP)
- WhatsApp (Twilio)
- Multi-channel routing

**16. Alert Processor Service** ([services/alert_processor/README.md](../services/alert_processor/README.md))
**1,800+ lines | Unified Enriched Alert System**

**Waves 3-6 Complete + Escalation & Chaining - Production Ready**

**Key Features:**
- **Multi-Dimensional Priority Scoring** - 0-100 score with 4 weighted factors
  - Business Impact (40%): Financial consequences, affected orders
  - Urgency (30%): Time sensitivity, deadlines
  - User Agency (20%): Can user take action?
  - AI Confidence (10%): Prediction certainty
- **Smart Alert Classification** - 5 types for clear user intent
  - ACTION_NEEDED, PREVENTED_ISSUE, TREND_WARNING, ESCALATION, INFORMATION
- **Alert Escalation System (NEW)**:
  - Time-based priority boosts (+10 at 48h, +20 at 72h)
  - Deadline proximity boosting (+15 at 24h, +30 at 6h)
  - Hourly priority recalculation cronjob
  - Escalation metadata and history tracking
  - Redis cache invalidation for real-time updates
- **Alert Chaining (NEW)**:
  - Causal chains (stock shortage → production delay → order risk)
  - Related entity chains (same PO: approval → overdue → receipt incomplete)
  - Temporal chains (same issue over time)
  - Parent/child relationship detection
  - Chain visualization in frontend
- **Deduplication (NEW)**:
  - Prevent alert spam by merging similar events
  - 24-hour deduplication window
  - Occurrence counting and trend tracking
  - Context merging for historical analysis
- **Email Digest Service** - Celebration-first daily/weekly summaries
- **Auto-Action Countdown** - Real-time timer for escalation alerts
- **Response Time Gamification** - Track performance by priority level
- **Full API Documentation** - Complete reference guide with examples
- **Database Migration** - Clean break from legacy `severity`/`actions` fields
- **Backfill Script** - Enriches existing alerts with missing data
- **Integration Tests** - Comprehensive test suite

**Business Value:**
- 90% faster issue detection (real-time vs. hours/days)
- 70% fewer false alarms through intelligent filtering
- 60% faster resolution with smart actions
- €500-2,000/month cost avoidance (prevented issues)
- 85%+ of alerts include AI reasoning
- 95% reduction in alert spam through deduplication
- Zero stale alerts (automatic escalation)

**Technology:** FastAPI, PostgreSQL, Redis, RabbitMQ, Server-Sent Events, Kubernetes CronJobs

### Platform Services

**17. Auth Service**
- JWT authentication
- User registration
- GDPR compliance
- Audit logging

**18. Tenant Service**
- Multi-tenant management
- Stripe subscriptions
- Team member management

**19. Orchestrator Service** ([services/orchestrator/README.md](../services/orchestrator/README.md))
**Enhanced | Workflow Automation & Delivery Tracking**

**Key Features:**
- Daily workflow automation
- Scheduled forecasting and production planning
- **Delivery Tracking Service (NEW)**:
  - Proactive delivery monitoring with time-based alerts
  - Hourly cronjob checks expected deliveries
  - DELIVERY_ARRIVING_SOON (T-2 hours) - Prepare for receipt
  - DELIVERY_OVERDUE (T+30 min) - Critical escalation
  - STOCK_RECEIPT_INCOMPLETE (T+2 hours) - Reminder
  - Procurement service integration
  - Automatic alert resolution on stock receipt
  - **Architecture Decision**: CronJob vs Event System comparison matrix

**Business Value:**
- 90% on-time delivery detection
- Proactive warnings prevent stockouts
- 60% faster supplier issue resolution

**Technology:** FastAPI, PostgreSQL, RabbitMQ, Kubernetes CronJobs

**20. Demo Session Service** ([services/demo_session/README.md](../services/demo_session/README.md))
**708+ lines | Demo Environment Management**

**Key Features:**
- Direct database loading approach (eliminates Kubernetes Jobs)
- XOR-based deterministic ID transformation for tenant isolation
- Temporal determinism with dynamic date adjustment
- Per-service cloning progress tracking with JSONB metadata
- Session lifecycle management (PENDING → READY → EXPIRED → DESTROYED)
- Professional (~40s) and Enterprise (~75s) demo profiles
- Frontend polling mechanism for status updates
- Session extension and retry capabilities

**Session Statuses:**
- PENDING: Data cloning in progress
- READY: All data loaded, ready to use
- PARTIAL: Some services failed, others succeeded
- FAILED: Cloning failed
- EXPIRED: Session TTL exceeded
- DESTROYED: Session terminated

**Business Value:**
- 60-70% performance improvement (5-15s vs 30-40s)
- 100% reduction in Kubernetes Jobs (30+ → 0)
- Deterministic data loading with zero ID collisions
- Complete session isolation for demo accounts

**Technology:** FastAPI, PostgreSQL, Redis, Async background tasks

---

**21. Distribution Service** ([services/distribution/README.md](../services/distribution/README.md))
**961+ lines | Enterprise Fleet Management & Route Optimization**

**Key Features:**
- VRP-based route optimization using Google OR-Tools
- Real-time shipment tracking with GPS and proof of delivery
- Delivery scheduling with recurring patterns
- Haversine distance calculation for accurate routing
- Parent-child tenant hierarchy integration
- Enterprise subscription gating with tier validation

**Event Types Published:**
- Distribution plan created
- Shipment status updated
- Delivery completed with proof

**Business Value:**
- Route Efficiency: 20-30% distance reduction
- Fuel Savings: €200-500/month per vehicle
- Delivery Success Rate: 95-98% on-time delivery
- Time Savings: 10-15 hours/week on route planning
- ROI: 250-400% within 12 months for 5+ locations

**Technology:** FastAPI, PostgreSQL, Google OR-Tools, RabbitMQ, NumPy

---

## Business Value Summary

### Quantifiable ROI Metrics

**Cost Savings:**
- €500-2,000/month per bakery (average: €1,100)
- 20-40% waste reduction
- 15-25% improved forecast accuracy = better inventory management

**Time Savings:**
- 15-20 hours/week on manual planning
- 5-8 hours/week on sales tracking
- 10-15 hours/week on manual forecasting
- **Total: 30-43 hours/week saved**

**Revenue Protection:**
- 85-95% stockout prevention
- Never miss high-demand days
- Optimize pricing based on demand

**Operational Efficiency:**
- 70-85% forecast accuracy
- Real-time alerts and notifications
- Automated daily workflows

### Target Market: Spanish Bakeries

**Market Size:**
- 10,000+ bakeries in Spain
- 2,000+ in Madrid metropolitan area
- €5 billion annual bakery market

**Spanish Market Integration:**
- AEMET weather API (official Spanish meteorological agency)
- Madrid traffic data (Open Data Madrid)
- Spanish holiday calendar (national + regional)
- Euro currency, Spanish date formats
- Spanish UI language (default)

---

## Technical Innovation Highlights

### AI/ML Capabilities

**1. Prophet Forecasting Algorithm**
- Industry-leading time series forecasting
- Automatic seasonality detection
- Confidence interval calculation
- Handles missing data and outliers

**2. Feature Engineering**
- 20+ engineered features
- Weather impact analysis
- Traffic correlation
- Holiday effects
- Business rule adjustments

**3. Continuous Learning**
- Weekly automatic model retraining
- Performance tracking and comparison
- Feedback loop for improvement
- Model versioning and rollback

### Real-Time Architecture

**1. Server-Sent Events (SSE)**
- Real-time alert streaming to dashboard
- Tenant-isolated channels
- Auto-reconnection support
- Scales across gateway instances

**2. WebSocket Communication**
- Live ML training progress
- Bidirectional updates
- Connection management
- JWT authentication

**3. Event-Driven Design**
- RabbitMQ message queue
- Publish-subscribe pattern
- Service decoupling
- Asynchronous processing

**4. Distributed Tracing (OpenTelemetry)**
- End-to-end request tracking across all 18 microservices
- Automatic instrumentation for FastAPI, HTTPX, SQLAlchemy, Redis
- Performance bottleneck identification
- Database query performance analysis
- External API call monitoring
- Error tracking with full context

### Scalability & Performance

**1. Microservices Architecture**
- 18 independent services
- Database per service
- Horizontal scaling
- Fault isolation

**2. Caching Strategy**
- Redis for token validation (95%+ hit rate)
- Prediction cache (85-90% hit rate)
- Analytics cache (60 min TTL)
- 60-70% backend load reduction

**3. Performance Metrics**
- <10ms API response (cached)
- <2s forecast generation
- 1,000+ req/sec per gateway instance
- 10,000+ concurrent connections

**4. Observability & Monitoring**
- **SigNoz Platform**: Unified traces, metrics, and logs
- **Auto-Instrumentation**: Zero-code instrumentation via OpenTelemetry
- **Application Monitoring**: All 18 services reporting metrics
- **Infrastructure Monitoring**: 18 PostgreSQL databases, Redis, RabbitMQ
- **Kubernetes Monitoring**: Node, pod, container metrics
- **Log Aggregation**: Centralized logs with trace correlation
- **Real-Time Alerting**: Email and Slack notifications
- **Query Performance**: ClickHouse backend for fast analytics

---

## Security & Compliance

### Security Measures

**Authentication & Authorization:**
- JWT token-based authentication
- Refresh token rotation
- Role-based access control (RBAC)
- Multi-factor authentication (planned)

**Data Protection:**
- Tenant isolation at all levels
- HTTPS-only (production)
- SQL injection prevention
- XSS protection
- Input validation (Pydantic schemas)

**Infrastructure Security:**
- Rate limiting (300 req/min)
- CORS restrictions
- API request signing
- Audit logging

### GDPR Compliance

**Data Subject Rights:**
- Right to access (data export)
- Right to erasure (account deletion)
- Right to rectification (data updates)
- Right to data portability (CSV/JSON export)

**Compliance Features:**
- User consent management
- Consent history tracking
- Anonymization capabilities
- Data retention policies
- Privacy by design

---

## Deployment & Infrastructure

### Development Environment
- Docker Compose
- Local services
- Hot reload
- Development databases

### Production Environment
- **Cloud Provider**: clouding.io VPS
- **Orchestration**: Kubernetes
- **Ingress**: NGINX Ingress Controller
- **Certificates**: Let's Encrypt (auto-renewal)
- **Observability**: SigNoz (unified traces, metrics, logs)
  - **Distributed Tracing**: OpenTelemetry auto-instrumentation (FastAPI, HTTPX, SQLAlchemy, Redis)
  - **Application Metrics**: RED metrics (Rate, Error, Duration) from all 18 services
  - **Infrastructure Metrics**: PostgreSQL (18 databases), Redis, RabbitMQ, Kubernetes cluster
  - **Log Management**: Centralized logs with trace correlation and Kubernetes metadata
  - **Alerting**: Multi-channel notifications (email, Slack) via AlertManager
- **Telemetry Backend**: ClickHouse for high-performance time-series storage

### CI/CD Pipeline
1. Code push to GitHub
2. Automated tests (pytest)
3. Docker image build
4. Push to container registry
5. Kubernetes deployment
6. Health check validation
7. Rollback on failure

### Scalability Strategy
- **Horizontal Pod Autoscaling (HPA)**
- CPU-based scaling triggers
- Min 2 replicas, max 10 per service
- Load balancing across pods
- Database connection pooling

---

## Competitive Advantages

### 1. Spanish Market Focus
- AEMET weather integration (official data)
- Madrid traffic patterns
- Spanish holiday calendar (national + regional)
- Euro currency, Spanish formats
- Spanish UI language

### 2. AI-First Approach
- Automated forecasting (no manual input)
- Self-learning system
- Predictive vs. reactive
- 70-85% accuracy

### 3. Complete ERP Solution
- Not just forecasting
- Sales → Inventory → Production → Procurement
- All-in-one platform
- Single vendor

### 4. Multi-Tenant SaaS
- Scalable architecture
- Subscription revenue model
- Stripe integration
- Automated billing

### 5. Real-Time Operations & Observability
- SSE for instant alerts
- WebSocket for live updates
- Sub-second dashboard refresh
- Always up-to-date data
- **Full-stack observability** with SigNoz
- Distributed tracing for performance debugging
- Real-time metrics from all layers (app, DB, cache, queue, cluster)

### 6. Developer-Friendly
- RESTful APIs
- OpenAPI documentation
- Webhook support
- Easy third-party integration

---

## Market Differentiation

### vs. Traditional Bakery Software
- ❌ Traditional: Manual forecasting, static reports
- ✅ Bakery-IA: AI-powered predictions, real-time analytics

### vs. Generic ERP Systems
- ❌ Generic: Not bakery-specific, complex, expensive
- ✅ Bakery-IA: Bakery-optimized, intuitive, affordable

### vs. Spreadsheets
- ❌ Spreadsheets: Manual, error-prone, no forecasting
- ✅ Bakery-IA: Automated, accurate, AI-driven

---

## Financial Projections

### Pricing Strategy

**Subscription Tiers:**
- **Free**: 1 location, basic features, community support
- **Pro**: €49/month - 3 locations, full features, email support
- **Enterprise**: €149/month - Unlimited locations, priority support, custom integration

**Target Customer Acquisition:**
- Year 1: 100 paying customers
- Year 2: 500 paying customers
- Year 3: 2,000 paying customers

**Revenue Projections:**
- Year 1: €60,000 (100 customers × €50 avg)
- Year 2: €360,000 (500 customers × €60 avg)
- Year 3: €1,800,000 (2,000 customers × €75 avg)

### Customer ROI

**Investment:** €49-149/month
**Savings:** €500-2,000/month
**ROI:** 300-1,300%
**Payback Period:** <1 month

---

## Roadmap & Future Enhancements

### Q1 2026
- Mobile apps (iOS/Android)
- Advanced analytics dashboard
- Multi-currency support
- Voice commands integration

### Q2 2026
- Deep learning models (LSTM)
- Customer segmentation
- Promotion impact modeling
- Blockchain audit trail

### Q3 2026
- Multi-language support (English, French, Portuguese)
- European market expansion
- Bank API integration
- Advanced supplier marketplace

### Q4 2026
- Franchise management features
- B2B ordering portal
- IoT sensor integration
- Predictive maintenance

---

## Technical Contact & Support

**Development Team:**
- Lead Architect: System design and AI/ML
- Backend Engineers: Microservices development
- Frontend Engineers: React dashboard
- DevOps Engineers: Kubernetes infrastructure

**Documentation:**
- Technical docs: See individual service READMEs
- API docs: Swagger UI at `/docs` endpoints
- User guides: In-app help system

**Support Channels:**
- Email: support@bakery-ia.com
- Documentation: https://docs.bakery-ia.com
- Status page: https://status.bakery-ia.com

---

## Conclusion for VUE Madrid Submission

Bakery-IA represents a **complete, production-ready AI-powered SaaS platform** specifically designed for the Spanish bakery market. The platform demonstrates:

✅ **Technical Innovation**: Prophet ML algorithm, real-time architecture, microservices
✅ **Market Focus**: Spanish weather, traffic, holidays, currency, language
✅ **Proven ROI**: €500-2,000/month savings, 30-43 hours/week time savings
✅ **Scalability**: Multi-tenant SaaS architecture for 10,000+ bakeries
✅ **Sustainability**: 20-40% waste reduction supports SDG goals
✅ **Compliance**: GDPR-ready, audit trails, data protection

**Investment Ask**: €150,000 for:
- Marketing and customer acquisition
- Sales team expansion
- Enhanced AI/ML features
- European market expansion

**Expected Outcome**: 2,000 customers by Year 3, €1.8M annual revenue, profitable operations

---

**Document Version**: 3.0
**Last Updated**: December 19, 2025
**Prepared For**: VUE Madrid (Ventanilla Única Empresarial)
**Company**: Bakery-IA

**Copyright © 2025 Bakery-IA. All rights reserved.**