In an industry notorious for thin margins and high labor costs, Runnr.ai isn't trying to replace the human touch—it's automating the repetitive noise so humans can actually shine. By embedding AI directly into WhatsApp and Booking.com, they've cracked the code on instant guest communication without forcing hotels to adopt yet another app.

"They aren't selling software; they're selling back time—time for hotel staff to stop answering "What's the Wi-Fi?" and start creating memorable stays."

The search data reveals a telling pattern. While generic terms like 'runnr' and 'runner ai' drive volume, the high-intent keywords—'upselling i cross selling u hotelu'—point to a sophisticated customer base actively seeking revenue optimization. This isn't a tool for early adopters experimenting with AI; it's a tactical weapon for revenue managers looking to lift RevPAR (Revenue Per Available Room) through automated, context-aware upselling.

• Brutal Efficiency: $1.8M revenue with just 13 employees signals a high-margin, low-overhead model.
• Distribution Lock-in: By operating inside WhatsApp and Booking.com, they eliminate user onboarding friction entirely.
• Niche Dominance: Targeting the specific pain of 'instant attention' allows them to own a micro-category within hospitality tech.