Report: Restaurant Brands Increase Tech Spending Despite Margin Pressures

Why It Matters

Higher tech investment is becoming a survival tactic as traffic declines erode profitability, forcing the industry to seek growth through operational efficiency and guest experience enhancements.

Key Takeaways

• 48% plan higher tech spend despite margin pressure
• 57% report guest traffic decline; QSRs 67%
• 73% invest in AI, only 5% see results
• CEOs and ops differ on system stability perception
• QSR tech spending rises 54%, fast‑casual 44%

Pulse Analysis

The restaurant sector faces a perfect storm: lingering inflation, labor shortages, and a post‑pandemic dip in foot traffic. Operators are turning to technology not merely as a convenience but as a cost‑control lever. Unified commerce platforms that aggregate ordering, kitchen, and fulfillment data can streamline workflows, reduce waste, and improve labor productivity—critical levers when margins are squeezed. By prioritizing order‑flow optimization, brands aim to recapture lost guests through faster service and more personalized experiences across dine‑in, curbside, and delivery channels.

Artificial intelligence promises predictive insights, dynamic staffing, and menu optimization, yet the benchmark report shows only a modest 5% of adopters achieving tangible outcomes. This gap often stems from fragmented legacy systems that prevent AI models from accessing clean, real‑time data. Companies that invest in a unified data foundation can transform AI from a siloed experiment into a scalable growth engine, enabling demand forecasting, waste reduction, and targeted promotions that directly impact the bottom line.

Quick‑service restaurants are outpacing fast‑casual peers, with tech spend growth of 54% versus 44%. Their focus on voice ordering, drive‑thru computer vision, and automated fulfillment reflects a race to capture high‑velocity customers while minimizing labor. As competition intensifies, brands that embed hospitality into these digital touchpoints—ensuring seamless, human‑like interactions—will differentiate themselves. The next wave will likely see deeper integration of AI‑driven personalization across all channels, turning technology from a cost center into a competitive advantage.