Own Restaurant Group Appointment Setter.

What you'd own.

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

• ●Landing page and one-pager for selling to restaurant vendors
• ●Python appointment-setter agent with multi-location group filtering logic
• ●Email template library and LinkedIn outreach playbook
• ●County permit API integrations and CSV data pipeline
• ●Database of 120+ qualified vendor leads and demo pipeline
• ●Detailed financial model covering CAC, LTV, and churn
• ●Founder positioning and cold-call script library

What Roll Digital builds for you.

Custom scope to take Restaurant Group Appointment Setter from MVP shell to operating business.

• ▸Production FastAPI backend with Postgres for lead and campaign management
• ▸Permit data API integration to auto-populate prospect restaurants
• ▸Email and SMS campaign builder with template library
• ▸Calendar integration for Outlook and Google to book calls
• ▸Stripe billing integration with three tiered pricing tiers
• ▸TCPA-compliant consent-capture layer before any AI-generated calls
• ▸Multi-tenant customer dashboard with analytics and campaign performance metrics
• ▸Customer onboarding flow and 30-day success support program

Why this could work.

Restaurant-tech vendors already spend money on sales tools. Permit data is a real trigger for new prospects, and the B2B SaaS model compounds quickly on retention. If you can execute the cold GTM and navigate TCPA compliance and data fragmentation, closing even 1 to 2 percent of your TAM yields $72k to $144k ARR. The market exists. Execution is the risk.

What you'd risk.

The permit data pipeline is fragmented and noisy outside major metros, making the 24-hour trigger unreliable and costly to maintain. TCPA and FCC AI-voice cloning rules expose you to real legal risk without a compliant consent layer. Your TAM is narrow and already served by established SDR platforms. Restaurant groups are a small slice of permit filers, so filtering noise erodes margins. Year one you lose $15,000. The success probability is 15 percent.

Who this fits.

This fits a restaurant-tech insider or B2B operator who can execute cold sales to vendor leadership. You need TCPA compliance expertise or capital to hire for it. This is not passive income. You'll spend weeks in LinkedIn outreach to POS vendors and distributors. If you have warm vendor relationships or credibility in restaurant tech, that de-risks the play. Ideal buyer: founder or operator experienced in B2B sales.

Timeline.

From contract signing to operating business.

1. Day 1
   Receive source code, customer list, financial model, API keys
2. Week 1
   Audit tech stack and identify TCPA compliance gaps
3. Week 3
   Deploy production API backend and permit data pipeline
4. Week 6
   Close first vendor customer and validate unit economics
5. Day 90
   Hit 2 to 3 new closes and measure churn

Pricing.

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