Own Parking Manager AI.

What you'd own.

Every artifact below transfers to your accounts on day one. The whole engine.

• ●Parking Manager AI brand identity and domain name
• ●Landing page, demo video, and email outreach templates
• ●FastAPI backend with multi-tenant architecture and Postgres
• ●Integrations for SKIDATA, Amano, Genetec, HUB Parking APIs
• ●Financial model, unit economics, and pricing strategy
• ●Founder persona, LinkedIn playbook, and IPI outreach materials
• ●Predictive revenue AI agent spec with training data

What Roll Digital builds for you.

Custom scope to take Parking Manager AI from MVP shell to operating business.

• ▸Production FastAPI backend with Postgres and multi-tenant support
• ▸Stripe billing across three parking operator pricing tiers
• ▸Hardened connectors for SKIDATA, Amano, Genetec, HUB APIs
• ▸Email and Google OAuth authentication for operations teams
• ▸Real-time dashboard with predictive revenue and pricing models
• ▸Error recovery system for firmware update compatibility
• ▸Customer onboarding wizard for parking facility setup

Why this could work.

The TAM is large: 20,000 US commercial parking facilities averaging $4,000 annual software spend. Your GTM targets a specific pain point (real-time operations plus revenue optimization) with direct access via LinkedIn and IPI directories. Smaller operators aren't locked into enterprise contracts like they are with ParkHub or T2 Systems. Predictive pricing and demand forecasting offer concrete AI differentiation, not just a dashboard repackage.

What you'd risk.

Hardware APIs are fragile; firmware updates silently break integrations and trigger churn. Consolidation kills contracts: when portfolio acquirers buy your customers, they force migration to their platform. Established competitors already market 'AI dashboards'. Year 1 goes negative: you'll spend $45K upfront and net minus $28K before closing deals. Success requires landing 3-4 customers per quarter at $4,500 ARR, which is measurably difficult.

Who this fits.

This fits a SaaS operator with existing parking industry relationships or a B2B sales founder with access to regional chains (5-50 locations). You need sales bandwidth to manage outbound LinkedIn and IPI targeting. Prior operations consulting or parking company experience accelerates credibility. Solo founders without direct customer access will struggle; co-founder sales or a sales hire is essential.

Timeline.

From contract signing to operating business.

1. Day 1
   Receive codebase, brand, financial model, outreach playbook
2. Week 1
   Deploy to production, activate Stripe billing
3. Week 3
   First customer demo and onboarding flow validation
4. Week 6
   Land first paying customer, refine predictive model
5. Day 90
   Two to three customers, prove unit economics, plan Q2

Pricing.

Three ways in, depending on how much you want to build yourself.