Home / Blueprints / FleetPulse

Delivery fleet & logistics tracking platform

FleetPulse — Delivery fleet & logistics tracking platform Blueprint

FleetPulse provides real-time visibility, intelligent route optimization, and proactive management tools for delivery fleets of all sizes.

The opportunity

Small to medium delivery businesses struggle with inefficient routing, lack of real-time driver visibility, and manual dispatching, leading to increased fuel costs, delayed deliveries, and poor customer satisfaction. Existing solutions are often too complex or expensive for their needs.

Who it's for

Key features

Business model

Recommended architecture

Recommended tech stack

Frontend

React with Next.js for SSR/SEO and a robust component library like Chakra UI, offering a fast, modern, and maintainable user experience for both web dashboard and customer portals.

Backend

Node.js with NestJS framework for its modular architecture and TypeScript support, providing a scalable, performant, and developer-friendly environment for API services.

Database

PostgreSQL for relational data (orders, users, vehicles) due to its reliability, strong ACID compliance, and advanced geospatial capabilities (PostGIS for location data).

Real-time / Messaging

Apache Kafka for high-throughput event streaming (e.g., location updates) and RabbitMQ for message queuing (e.g., asynchronous tasks, notifications), enabling real-time communication and robust inter-service coordination.

Infrastructure

Kubernetes on AWS (EKS) for container orchestration, auto-scaling, and high availability, providing a robust and flexible cloud environment for microservices.

Authentication

Auth0 for secure user authentication (SSO, MFA) and authorization (RBAC), offloading security complexities and providing enterprise-grade identity management.

Key third-party services

Google Maps Platform (Geocoding, Directions API, Distance Matrix, SDKs) for mapping, navigation, and location services; Twilio for SMS notifications; Stripe for subscription billing.

Core modules

Key data model

Entity	Key fields	Notes
User	id, email, password_hash, role, company_id, first_name, last_name	Indexes on email, company_id. Role defines access levels.
Company	id, name, subscription_plan, contact_email, address, timezone	One-to-many with User. Stores tenant-specific configuration.
Vehicle	id, company_id, driver_id, make, model, license_plate, capacity_volume, capacity_weight, current_location (PostGIS point)	Indexes on company_id, driver_id. Geospatial index on current_location.
Driver	id, user_id, company_id, vehicle_id, status, phone_number, license_number, availability	One-to-one with User, One-to-one or One-to-many with Vehicle (if shared).
Order	id, company_id, driver_id, customer_name, customer_address (PostGIS point), status, delivery_window_start, delivery_window_end, notes, assigned_route_id, estimated_eta, actual_delivery_time	Indexes on company_id, driver_id, status. Geospatial index on customer_address.
Route	id, company_id, driver_id, planned_start_time, actual_start_time, planned_end_time, actual_end_time, stops (array of order_ids), total_distance, optimized_geojson_path	References multiple Orders. Stores the sequence and details of stops.
LocationHistory	id, vehicle_id, timestamp, latitude, longitude, speed_kph, heading_degrees	Time-series data, indexed on vehicle_id, timestamp for efficient querying.
ProofOfDelivery	id, order_id, driver_id, timestamp, type, media_url, notes, signature_data_url	One-to-many with Order. Stores references to digital artifacts.

Core API endpoints

Method	Endpoint	Purpose
POST	/api/v1/auth/login	Authenticates user credentials and returns an access token for subsequent API calls.
GET	/api/v1/vehicles	Retrieves a paginated list of all vehicles associated with the authenticated company, with optional filters.
GET	/api/v1/vehicles/{id}/location/live	Establishes a WebSocket connection to receive real-time location updates for a specific vehicle.
POST	/api/v1/orders	Creates a new delivery order, including customer details, delivery address, and time windows.
PUT	/api/v1/orders/{id}/assign	Assigns an existing order to a specific driver or vehicle for delivery.
GET	/api/v1/drivers/{id}/current-route	Retrieves the currently assigned route, including all stops and navigation details, for a specific driver.
POST	/api/v1/routes/optimize	Triggers the route optimization engine for a given set of unassigned orders and available vehicles/drivers.
POST	/api/v1/orders/{id}/proof-of-delivery	Uploads proof of delivery data (e.g., signature image, photo) for a completed order.
GET	/api/v1/reports/fleet-performance	Generates a detailed fleet performance report for a specified date range, including efficiency and success metrics.
GET	/api/v1/public/tracking/{token}	Retrieves public, read-only tracking information for a specific order using a unique customer token.

Core screens

Scaling considerations

• High-volume Real-time Location Data: Utilize Apache Kafka for high-throughput ingestion, distributed processing with technologies like Flink, and a time-series database (e.g., TimescaleDB on PostgreSQL) for efficient storage and querying of millions of location updates per minute.
• Complex Route Optimization: Implement a dedicated microservice for optimization, leveraging specialized algorithms (e.g., Vehicle Routing Problem solvers) and distributed computing to handle large numbers of stops and vehicles concurrently within tight time constraints.
• Spiky Load from Dispatch/Orders: Employ auto-scaling groups for API services, use message queues (RabbitMQ) for asynchronous processing of order creation/updates, and implement robust database connection pooling to manage peak loads effectively.
• Geospatial Query Performance: Leverage PostGIS for efficient spatial indexing and queries (e.g., 'find all vehicles within X radius of a delivery'), and consider caching frequently accessed spatial data using in-memory stores like Redis for faster responses.
• Global Fleet Support: Design for multi-region deployment on cloud providers (AWS/GCP), utilize Content Delivery Networks (CDNs) for static assets, and ensure map services are performant and localized globally to support international operations.

Estimated monthly cost

Want a tailored estimate for your own product? Try the free software cost estimator or the tech stack finder.

Suggested build plan

Phase	Timeframe	Deliverables
Phase 1: Core Tracking & Dispatch MVP	Weeks 1-8	Real-time Vehicle Tracking, Basic Order Management, Driver Mobile App (Navigation & Status), Admin Dashboard, User/Company Management
Phase 2: Route Optimization & Customer Experience	Weeks 9-16	Intelligent Route Optimization, Customer ETA Notifications, Proof of Delivery via App, Basic Analytics & Reporting, Geofencing
Phase 3: Advanced Operations & Integrations	Weeks 17-24	Advanced Reporting & Custom Dashboards, Driver Performance Metrics, API for Third-Party Integrations (e.g., ERP/WMS), Vehicle Maintenance Module
Phase 4: Scalability & Enterprise Features	Weeks 25-32	Multi-company Tenant Support, Enhanced Security & Compliance, Infrastructure Hardening for High Scale, Custom Branded Portals, Advanced Telematics Integration

Frequently asked questions

How will you ensure real-time location accuracy and reliability?

We'll use high-frequency GPS updates from driver apps/telematics, leverage WebSockets for push updates, and implement client-side prediction/smoothing for map rendering. Redundant location services and fallback mechanisms will ensure reliability, even with intermittent connectivity.

What's the strategy for handling offline drivers or areas with poor connectivity?

The driver mobile app will implement robust offline capabilities, storing delivery data and route progress locally. Data will be automatically synced to the backend once network connectivity is restored, ensuring no loss of critical information.

How will route optimization handle dynamic changes like new orders or traffic updates?

The optimization service will support real-time re-optimization on demand or at scheduled intervals. It will integrate with live traffic data (e.g., Google Maps Traffic API) and provide dispatchers with tools to manually adjust routes, triggering immediate driver app updates.

What security measures are in place to protect sensitive delivery data and driver information?

We will enforce end-to-end encryption (TLS for data in transit, AES-256 for data at rest), implement robust role-based access controls (RBAC via Auth0), conduct regular security audits, and ensure compliance with relevant data privacy regulations like GDPR/CCPA.

How will FleetPulse integrate with existing ERP or Warehouse Management Systems (WMS)?

We will provide a comprehensive, well-documented API for external integrations, allowing businesses to seamlessly push orders into FleetPulse and pull delivery status updates. In later phases, we'll consider building pre-built connectors for popular ERP/WMS platforms.

Building something in this space? Read the in-depth architecture guides for the patterns behind blueprints like this one.

More example blueprints