Track franchise unit growth and closures with AI
Total unit count is a vanity metric. What matters is net growth: openings minus the units that closed, were terminated, or weren't renewed. FranDB structures Item 20 outlet data by state and year so you can ask an AI assistant whether a brand is actually growing or quietly shrinking.
Growth or decline, in one number
Item 20 reports openings, closures, terminations, transfers, and non-renewals for a franchisor's last three fiscal years. A brand can have 800 locations and still be falling apart. The signal is net change: openings minus the units leaving the system.
Direction matters too. Closures that climb year over year are worse than a flat closure rate, even when the totals look similar. Three years of data lets you tell a bad year from a trend.
Reading closures versus terminations
A closure usually means the owner shut down voluntarily, which points to unit economics. A termination means the franchisor ended the agreement, which can point to friction between corporate and its owners. The two mean different things, and reading them separately tells you whether a brand has a profitability problem or a relationship problem.
With FranDB connected to ChatGPT, Claude, or Cursor, you can ask for net unit growth, isolate terminations, or compare momentum across a shortlist without reading the three-year tables one brand at a time.
What you can ask
Connect FranDB to ChatGPT, Claude, or Cursor, then ask in plain English:
- Did this brand have positive net unit growth last year?
- How many units did these franchises terminate over the last three years?
- Which of these systems is shrinking?
- Show me unit openings and closures for this brand by state.
Connect FranDB to your AI tools
FranDB plugs into ChatGPT, Claude, and Cursor over MCP, so the data on this page is one question away inside the tools you already use. No code required.
Go deeper
Frequently asked questions
How can I tell if a franchise is shrinking?
Compare openings to closures, terminations, and non-renewals in the Item 20 tables across all three years. If a system loses more units than it adds, it's contracting regardless of its total size. An AI assistant can compute net growth for you in one question.
What's the difference between a closure and a termination?
A closure usually means the franchisee shut down voluntarily, a signal about unit economics. A termination means the franchisor ended the agreement, which can point to conflict. Both are negative, but they mean different things.
Can AI analyze Item 20 outlet data?
Yes. FranDB structures outlet data by state and year, so with it connected over MCP you can ask ChatGPT or Claude for net unit growth, termination counts, or which brands on a shortlist are shrinking.