Why are some huge franchise brands behind on AI?

Because unit count and AI maturity are unrelated. In the Franpulse.ai Index, Subway (36,000+ units) scores 58 while Domino's (20,500+ units) scores 83. What separates them is unified operational data, not size, budget, or brand awareness.

This is the most consistent finding across the 50 systems in our Index, and it contradicts the intuition that the biggest brands must be the most advanced.

The pattern

Large systems that grew through decentralized franchisee-owned technology stacks ended up with fragmented data. Every additional unit made consolidation harder, not easier.

—Domino's: 20,500+ units, data pillar 88, overall 83.

—Subway: 36,000+ units, data pillar 59, overall 58.

Why scale works against you here

Retrofitting a common data layer across tens of thousands of independently owned units means renegotiating technology terms with thousands of franchisees. A smaller system can simply mandate it.

Scale is an advantage once the data layer exists, and an obstacle before it does. That order matters more than any AI tool decision.

What actually predicts a high score

In our data the single best predictor is the data infrastructure pillar. Systems above 80 on data average well above the 63 industry mean; systems below 60 on data rarely clear it.

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