Generate a full AI Logistics Tracking SaaS from a prompt

You describe the kind of fleet and delivery operation you run. StackAlchemist generates the full .NET 10 + Next.js 15 + PostgreSQL codebase, verifies the build, and hands you the zip. The shipments, drivers, routes, and POD capture endpoints are all wired in one pass. You own the code. Deploy wherever you want.

What you get

A production-shaped AI logistics tracking SaaS with:

• Shipment management with status timelines, customer addresses, weight, dimensions, and special-handling flags
• Driver roster with vehicle assignments, shift schedules, and per-driver performance tracking
• Route planning scaffolding with stop ordering, ETAs, and hooks for Mapbox or Google Distance Matrix
• Real-time GPS check-ins from driver mobile clients, persisted to a location history table
• Proof of delivery capture — signature, photo, recipient name, timestamp, geo-stamp
• Exception handling for failed delivery, redelivery requests, refused shipments, and address corrections
• Customer-facing tracking pages with live status, ETA, and delivery confirmation
• Driver mobile-app API endpoints — manifest pull, status updates, POD upload, route progress
• CI/CD via GitHub Actions — lint, typecheck, unit tests, compile verification
• Docker-compose for local development — docker compose up and you are running

All of this is generated in about 12 minutes from a single prompt. Every build is verified with dotnet build + pnpm build before you can download.

Why generate it instead of paying Onfleet per driver

Per-driver pricing punishes growth. Onfleet, Routific, Bringg — they all charge per driver or per vehicle every month. A 40-driver fleet on Onfleet runs $500-$1,500/month forever. A generated StackAlchemist codebase is one $599 payment, and adding the 41st driver costs you zero.

Logistics platforms own your operational data. Routing patterns, customer addresses, delivery times, driver performance — that is your competitive moat as a logistics business. Bringg and Onfleet aggregate that data across their customer base. A codebase you own keeps your data in your Postgres instance, on your infrastructure, where no platform can mine it or sell insights derived from it.

Track-POD and friends lock you into their POD format. Every logistics ops team eventually needs a custom exception — a specific signature workflow for medical deliveries, a multi-piece scan for furniture, a temperature reading for cold-chain. With a generated codebase you add the field, run the migration, ship the change. With a vendor you file a feature request.

Who this is for

• Regional courier companies running 10-200 drivers who want to stop paying per-driver platform fees and own the routing stack.
• DTC brands with in-house last-mile fleets who need a tracking and POD system tailored to their delivery promise (white-glove, room-of-choice, signature-required).
• B2B parts distributors running their own trucks for same-day delivery to dealers, shops, or job sites.
• Logistics tech founders who want a compile-verified starting point before building a vertical-specific delivery product.

Example entities generated

A typical AI logistics tracking SaaS generation produces entities like:

• Shipment / ShipmentStatusEvent / ExceptionRecord
• Driver / Vehicle / VehicleAssignment
• Route / RouteStop / RouteProgress
• Customer / Address / DeliveryWindow
• ProofOfDelivery / SignatureCapture / PhotoAttachment
• LocationCheckIn / LocationHistory
• BillingRecord / Invoice / ServiceLineItem

The exact shape depends on your prompt. A white-glove furniture operation generates different entities than a same-day parts courier.

Real example: Regional same-day courier

Imagine you submit this spec:

"We run a same-day courier service with 35 drivers covering the metro area. Customers book pickups through our portal, we assign to a driver, the driver does pickup, then delivery, capturing signature and photo at the dropoff. We bill customers monthly based on miles and stops. We need a driver mobile API, a dispatcher dashboard, and a customer tracking page."

StackAlchemist generates:

• Shipment entity with pickup_address, delivery_address, requested_pickup_window, service_level (standard, rush, scheduled), and status
• ShipmentStatusEvent entity capturing every state transition with actor, timestamp, and notes
• Driver entity with name, license_number, phone, status (available, on_route, off_duty), assigned_vehicle_id
• Vehicle entity with type (van, cargo_bike, sprinter), capacity, license_plate, last_inspection_date
• Route entity grouping shipments for a driver-shift, with ordered RouteStop children
• LocationCheckIn entity with driver_id, lat, lng, recorded_at, accuracy, battery_level
• ProofOfDelivery entity with shipment_id, signature_blob_url, photo_urls (array), recipient_name, captured_at, captured_lat_lng
• ExceptionRecord entity with shipment_id, exception_type (no_one_home, refused, address_invalid, damaged), photo_evidence, resolution_action
• BillingRecord entity with customer_id, billing_period, total_stops, total_miles, surcharges, line_items
• Driver API endpoints: GET /drivers/me/manifest, POST /shipments/:id/checkin, POST /shipments/:id/pod, POST /shipments/:id/exception, plus dispatcher endpoints for assignment and a public GET /track/:shipment_token customer page

All wired into a Next.js dispatcher dashboard, a Next.js customer tracking page, and a .NET backend with separate API surfaces for the driver mobile client and the web app. Docker-compose spins up PostgreSQL, the API, and the frontend so you can run a simulated dispatch in one command.

After you own the code: two next steps

Once the zip arrives and you have the repo cloned, here is what you do:

1. Wire a real mapping provider. The generated repo scaffolds route ordering and ETA calculation behind an interface, but the default implementation is a stub. Drop in your Mapbox or Google Distance Matrix API key, replace the IRouteOptimizer implementation with a real call to their matrix endpoint, and you have actual driver-aware routing. For most courier operations a Mapbox Optimization API plan at $0.05/route is dramatically cheaper than paying Routific's per-vehicle subscription. The interface boundary is already there. You are filling in one method.

2. Build the driver mobile client. The backend exposes a clean driver API — manifest pull, status updates, POD upload, location check-in. You build a React Native or Flutter app against those endpoints, or use a no-code mobile tool that hits REST. The generated repo includes example request and response shapes for every driver endpoint. Most courier operations ship a thin mobile app in two to four weeks once the backend is wired. The hard part — auth, conflict resolution, exception handling — is already in your generated codebase.

What is not included

StackAlchemist is not a turnkey logistics platform. We do not provide the driver mobile app binary, do not bundle a mapping or routing service, and do not provide ongoing fleet telematics. We generate the backend, the dispatcher dashboard, the customer tracking page, and the API surface that a driver app will consume. You build or buy the mobile client and you pay your own mapping provider.

We do not include integrations with carrier APIs (UPS, FedEx, USPS) out of the gate — this product is for operations running their own fleet, not for resellers of national carriers. We do not include EDI or freight tendering — that is a different vertical. If your operation needs those, the generated codebase is still a fine foundation, but you are writing the integrations after generation.

Pricing

One-time, per generation:

• Simple-mode logistics — $299. Single fleet, shipments, drivers, basic routing, POD capture, customer tracking page.
• Blueprint-tier — $599. Adds multi-depot support, advanced exception workflows, billing engine, driver performance reporting.
• Boilerplate-tier — $999. Adds multi-tenant (for 3PLs), white-label customer portals, custom POD workflows, deeper analytics, audit logging for regulated cargo.

No monthly fee. No per-driver fee. You own what you generate.

Get started

Describe your fleet and delivery operation in plain English. We generate the code. You own it.

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