PRD

Product Requirements Document (PRD)

B-Scooter Urban Mobility Platform

1. App Overview and Objectives

Vision Statement

Build safer, smarter cities through an integrated urban mobility platform that combines micro-mobility safety systems with intelligent parking management, leveraging AI and computer vision technology to create seamless urban transportation experiences.

Core Objectives

  • Primary Goal: Integrate AI-powered scooter safety systems with real-time parking detection to solve dual urban mobility challenges
  • Secondary Goals: Scale nationwide through strategic partnerships, establish international market presence, and create unified urban mobility management platform
  • Success Metrics: Deploy in 10+ Israeli cities by Q4 2024, achieve $10M+ ARR by Q3 2025, maintain 99%+ platform uptime

Business Context

  • Company: B-Scooter - Automotive Safety Systems
  • Leadership: Daniel Rosenzweig (Founder & CEO)
  • Current Status: Operational units deployed to major Israeli micro-mobility operators, active partnerships with Haifa and Ramat Gan municipalities

2. Target Audience

Primary Users

Municipal Administrators

  • Profile: City planners, traffic management officials, urban mobility coordinators
  • Pain Points: Inefficient parking management, lack of micro-mobility safety oversight, fragmented urban mobility data
  • Goals: Improve traffic flow, enhance citizen safety, optimize urban resource allocation
  • Usage: Daily monitoring through unified dashboard, monthly reporting and analytics

Micro-mobility Operators

  • Profile: Fleet managers, operations directors, safety coordinators at scooter companies
  • Pain Points: Accident liability, inefficient fleet monitoring, regulatory compliance challenges
  • Goals: Reduce accidents, optimize fleet deployment, improve operational efficiency
  • Usage: Real-time fleet monitoring, safety incident management, performance analytics

Urban Drivers

  • Profile: Daily commuters, city residents, visitors seeking parking
  • Pain Points: Wasted time searching for parking, unpredictable availability, unsafe scooter interactions
  • Goals: Quick parking solutions, predictable travel times, safe urban navigation
  • Usage: Mobile app for parking availability, route optimization, safety alerts

Secondary Users

City Engineers & Urban Planners

  • Long-term urban development insights, infrastructure optimization data

Regulatory Bodies

  • Compliance monitoring, safety standard enforcement, policy development support

3. Core Features and Functionality

3.1 Micro-mobility Safety System

Real-time Safety Monitoring

  • Description: AI-powered visual sensors and embedded intelligence preventing scooter accidents
  • Core Components:
    • Computer vision accident detection
    • Real-time hazard identification
    • Automatic emergency response triggering
    • Speed and route optimization alerts
  • Acceptance Criteria:
    • Sub-100ms response time for accident prevention
    • 99%+ accuracy in hazard detection
    • Integration with existing scooter hardware
    • Operator dashboard with real-time fleet status

Safety Analytics Dashboard

  • Description: Comprehensive safety metrics and incident reporting for operators
  • Features:
    • Accident prediction modeling
    • Risk area heat mapping
    • Fleet safety performance tracking
    • Regulatory compliance reporting
  • User Access: Operator administrators, fleet managers, safety coordinators

3.2 Intelligent Parking Management

Real-time Parking Detection

  • Description: Computer vision platform using existing city cameras for parking availability
  • Core Components:
    • Camera feed processing and analysis
    • Parking space occupancy detection
    • Real-time availability updates
    • Historical utilization patterns
  • Technical Requirements:
    • Integration with existing city camera infrastructure
    • 99%+ detection accuracy across weather conditions
    • Real-time processing with minimal latency
    • Support for various camera types and angles

Parking Intelligence Platform

  • Description: Predictive parking analytics and citizen-facing availability information
  • Features:
    • AI-driven parking availability forecasting
    • Mobile app with real-time parking maps
    • Route optimization with parking integration
    • Dynamic pricing recommendations for cities
  • User Access: Citizens via mobile app, municipal administrators via web dashboard

3.3 Unified Municipal Dashboard

Integrated Urban Mobility Analytics

  • Description: Single interface combining parking and micro-mobility data for city administrators
  • Core Features:
    • Real-time city-wide mobility metrics
    • Cross-platform safety and efficiency reporting
    • Policy impact analysis and recommendations
    • Resource allocation optimization insights
  • Data Integration: Parking utilization rates, scooter safety incidents, traffic patterns, citizen usage metrics

Multi-tenant Administration

  • Description: Scalable platform supporting multiple cities and operators
  • Features:
    • Role-based access control
    • Customizable reporting and alerts
    • Multi-language support
    • Regional compliance management
  • Scalability Requirements: Support 100+ cities by Phase 2, cloud-based architecture

3.4 Mobile Application (Consumer-Facing)

Integrated Mobility App

  • Description: Consumer application combining parking and safe micro-mobility options
  • Core Features:
    • Real-time parking availability map
    • Safe scooter route recommendations
    • Multi-modal trip planning
    • Safety alert notifications
  • Technical Implementation: Native mobile development for iOS and Android
  • Integration Points: City parking systems, scooter operator APIs, mapping services

4. Technical Stack Recommendations

Backend Architecture

  • Cloud Platform: AWS or Azure for scalability and global presence
  • Microservices: Node.js or Python for API services, containerized with Docker
  • Database: PostgreSQL for transactional data, Redis for caching, InfluxDB for time-series data
  • Message Queue: Apache Kafka for real-time data streaming
  • API Gateway: Kong or AWS API Gateway for service orchestration

AI/ML Infrastructure

  • Computer Vision: TensorFlow or PyTorch for image processing models
  • Edge Computing: NVIDIA Jetson for on-device processing
  • ML Pipeline: MLflow for model management, Apache Airflow for data workflows
  • Real-time Processing: Apache Spark for large-scale data processing

Frontend Technologies

  • Web Dashboard: React.js with TypeScript for municipal and operator interfaces
  • Mobile Apps: React Native for cross-platform development with native modules for performance-critical features
  • Data Visualization: D3.js, Chart.js for analytics dashboards
  • Mapping: Mapbox or Google Maps API for location services

Integration & APIs

  • Camera Systems: Custom adapters for various city camera infrastructures
  • Scooter Hardware: IoT integration using MQTT protocol
  • Third-party Services: Payment processing, notification services, weather APIs
  • Security: OAuth 2.0 for authentication, JWT for session management, end-to-end encryption

5. Conceptual Data Model

Core Entities

City

- city_id (UUID, primary key)
- name (string)
- country (string)
- timezone (string)
- camera_systems (array of camera_config)
- parking_zones (array of zone_id references)
- created_at (timestamp)
- updated_at (timestamp)

Parking Space

- space_id (UUID, primary key)
- city_id (UUID, foreign key)
- zone_id (UUID, foreign key)
- location (GPS coordinates)
- space_type (enum: street, garage, reserved)
- occupancy_status (enum: occupied, available, unknown)
- camera_id (UUID, foreign key)
- last_updated (timestamp)
- confidence_score (float)

Scooter Safety Event

- event_id (UUID, primary key)
- scooter_id (UUID, foreign key)
- operator_id (UUID, foreign key)
- event_type (enum: near_miss, accident, hazard_detected)
- location (GPS coordinates)
- severity (enum: low, medium, high, critical)
- response_time_ms (integer)
- resolved (boolean)
- timestamp (timestamp)
- sensor_data (JSON)

Operator

- operator_id (UUID, primary key)
- company_name (string)
- contact_info (JSON)
- cities (array of city_id references)
- fleet_size (integer)
- safety_rating (float)
- subscription_tier (enum: basic, premium, enterprise)
- created_at (timestamp)

Relationships

  • Cities have many parking zones and operator partnerships
  • Parking spaces belong to zones and are monitored by cameras
  • Scooters belong to operators and generate safety events
  • Users can be associated with multiple roles (citizen, operator_admin, city_admin)

6. UI Design Principles

Municipal Dashboard Design

  • Layout: Clean, data-dense interface prioritizing real-time metrics
  • Navigation: Tab-based structure separating parking and mobility views with unified overview
  • Visualization: Color-coded maps, trend charts, and alert notifications
  • Responsive: Desktop-first design with tablet compatibility

Operator Interface Design

  • Layout: Fleet-centric dashboard with safety metrics prominence
  • Real-time Updates: Live status indicators, alert notifications, incident management
  • Mobile Responsive: Tablet and mobile optimization for field operations
  • Customization: Configurable KPI widgets and report generation

Consumer Mobile App Design

  • Map-First Interface: Large map view with overlay information
  • Simple Navigation: Bottom tab navigation with quick access to key features
  • Accessibility: WCAG 2.1 AA compliance, voice navigation support
  • Offline Capability: Cached map data and basic functionality without connectivity

Design System Standards

  • Color Palette: Safety-focused with clear status indicators (red for alerts, green for safe/available)
  • Typography: Sans-serif fonts optimized for screen reading and data density
  • Icons: Universal mobility symbols with custom safety and parking iconography
  • Spacing: 8px grid system for consistent layouts across platforms

7. Security Considerations

Data Protection

  • Encryption: AES-256 for data at rest, TLS 1.3 for data in transit
  • Privacy Compliance: GDPR, CCPA compliance with data anonymization for analytics
  • Data Retention: Configurable retention policies, automated data purging
  • Backup & Recovery: Automated encrypted backups with 99.9% recovery SLA

Access Control

  • Authentication: Multi-factor authentication for administrative users
  • Authorization: Role-based access control (RBAC) with principle of least privilege
  • API Security: Rate limiting, API key management, request signing for sensitive operations
  • Audit Logging: Comprehensive access logs with tamper-evident storage

Infrastructure Security

  • Network Security: VPC with private subnets, WAF for web applications
  • Container Security: Image scanning, runtime protection, secrets management
  • Monitoring: 24/7 SOC monitoring, automated threat detection and response
  • Compliance: SOC 2 Type II, ISO 27001 certification target

8. Development Phases/Milestones

Phase 1: Partnership & Market Consolidation (Q3-Q4 2024)

Sprint 1-3: Core Platform Foundation

  • Duration: 6 weeks
  • Deliverables:
    • Unified backend architecture and APIs
    • Basic municipal dashboard with dual-product view
    • Operator safety monitoring interface
    • Database schema implementation and migration tools
  • Success Criteria: Support existing Israeli operators, process real-time data from 100+ scooters

Sprint 4-6: Integration & Scalability

  • Duration: 6 weeks
  • Deliverables:
    • Camera system integration framework
    • Parking detection API with 95%+ accuracy
    • Mobile app MVP for citizens
    • Partnership integration tools and documentation
  • Success Criteria: Deploy in 5 Israeli cities, close 3+ strategic partnerships

Phase 2: International Expansion Preparation (Q1-Q2 2025)

Sprint 7-10: Multi-Market Platform

  • Duration: 8 weeks
  • Deliverables:
    • Multi-tenant SaaS architecture
    • Compliance engine for international regulations
    • Advanced analytics and predictive capabilities
    • Automated deployment and onboarding systems
  • Success Criteria: Platform ready for international deployment, 100+ city capacity

Sprint 11-14: Market Entry Tools

  • Duration: 8 weeks
  • Deliverables:
    • Localization framework and multi-language support
    • Regional partnership integration tools
    • Enhanced customer success and support systems
    • Performance optimization for global scale
  • Success Criteria: 2+ international pilot programs initiated

Phase 3: Global Market Entry (Q3+ 2025)

Sprint 15-18: International Launch

  • Duration: 8 weeks
  • Deliverables:
    • Full international platform deployment
    • Regional customer success teams and processes
    • Advanced AI/ML capabilities and predictive analytics
    • Enterprise-grade SLA and support infrastructure
  • Success Criteria: 5+ international markets, $10M+ ARR target

9. Potential Challenges and Solutions

Technical Challenges

Challenge: Computer Vision Accuracy Across Varying Conditions

  • Impact: Parking detection reliability in different weather, lighting, camera angles
  • Solution: Multi-model ensemble approach with weather-specific training data, continuous learning pipeline
  • Mitigation: Confidence scoring system, manual validation workflows for low-confidence detections

Challenge: Real-time Processing at Scale

  • Impact: Sub-100ms safety response requirements across thousands of devices
  • Solution: Edge computing deployment, regional processing centers, optimized AI models
  • Mitigation: Graceful degradation, offline capability, automatic failover systems

Challenge: Integration with Diverse City Infrastructure

  • Impact: Varying camera systems, data formats, API standards across municipalities
  • Solution: Abstraction layer architecture, standardized adapter framework, automated discovery tools
  • Mitigation: Professional services team, comprehensive testing suite, pilot program methodology

Business Challenges

Challenge: Single Point of Leadership Risk

  • Impact: CEO dependency creating operational bottlenecks and scaling limitations
  • Solution: Immediate executive team expansion (CTO, VP Sales), advisory board formation, succession planning
  • Timeline: Executive hires within 60 days, advisory board by Q4 2024

Challenge: Competitive Market Entry

  • Impact: Established players in parking and scooter safety markets
  • Solution: Unique dual-solution positioning, strategic partnerships, rapid innovation cycles
  • Differentiator: Unified platform approach, existing infrastructure leverage, proven deployment capability

Challenge: International Regulatory Complexity

  • Impact: Varying safety standards, privacy laws, municipal procurement processes
  • Solution: Regulatory compliance framework, local partnership strategy, legal expertise expansion
  • Mitigation: Pilot program approach, conservative expansion timeline, regulatory affairs team

10. Future Expansion Possibilities

Product Line Extensions

  • Traffic Optimization System: Third urban solution using same AI/computer vision platform
  • Smart City Integration: APIs connecting with broader urban management systems (traffic lights, public transit)
  • Sustainability Metrics: Carbon footprint reduction tracking for ESG-conscious municipalities
  • AR-Enhanced Safety: Augmented reality components for enhanced scooter safety awareness

Market Expansion

  • Consumer Direct Models: Direct-to-citizen parking assistance applications
  • Technology Licensing: License core AI platform to complementary urban tech companies
  • Integration Marketplace: Third-party developer ecosystem for extended functionality
  • Regional Distributor Program: Partner-led expansion in secondary markets

Advanced Capabilities

  • Predictive Urban Planning: Long-term mobility pattern analysis for city development
  • Autonomous Vehicle Integration: Platform extension for autonomous parking and mobility systems
  • IoT Ecosystem: Comprehensive urban sensor network management
  • Machine Learning as a Service: AI capabilities for other urban technology providers

This PRD provides a comprehensive foundation for engineering teams to understand, develop, and scale the B-Scooter urban mobility platform while maintaining alignment with business objectives and market opportunities.