AI as a 'Force Multiplier' for Hotel Sales
What happened
AI isn’t just about automation—it’s about empowering your sales teams to focus on high-value interactions, while the system handles the repetitive, time-consuming tasks. So argued Greg Sukornyk, CEO of Oli Labs, on *The Modern Hotelier* podcast. He noted that AI can instantly surface relevant offers and availability when a lead comes in, accelerating response times and increasing conversion rates.
Why it matters
- The company behind the technology, OnCourse AI, was co-founded by Greg Sukornyk after he identified that hotel operators were struggling to manage a high volume of sales leads. Its flagship product, "Oli," is a conversational AI that handles lead qualification and nurturing 24/7 via email, text, and WhatsApp in any language. - OnCourse AI reports that its platform has a 60% conversion rate from interaction to qualified lead, with clients seeing 2.5 times more qualified leads than with previous systems. One key reason is its round-the-clock operation, as one client discovered that 76% of lead conversations happen after business hours. - Beyond lead response, AI is heavily used for dynamic pricing; hotels that have implemented AI-driven pricing strategies have seen an average increase of 10-15% in revenue per available room (RevPAR). These systems analyze millions of data points, including booking patterns and competitor pricing, to optimize rates in real-time. - For multi-property operations, AI systems can forecast demand for services beyond just rooms, such as restaurant bookings and spa appointments, allowing for optimized staffing schedules that avoid costly overstaffing. AI-powered sensors can also predict equipment maintenance needs before a failure occurs, reducing downtime and its impact on guests. - AI enables hyper-personalization by analyzing guest data from past stays to tailor marketing campaigns and offers. A case study by the guest data platform Revinate found that personalized campaigns based on guest preferences increased direct bookings by 30%. - The global market for AI in the hospitality sector is projected to reach $8.1 billion by 2030. Reflecting this trend, a recent survey found that 77% of hotel CEOs consider AI a "critical" technology for their five-year strategy. - AI-powered chatbots are evolving to become direct booking tools rather than just informational assistants. By integrating directly with a hotel's property management system (PMS), they can check real-time inventory, guide guests through the booking process, and handle upsells, which can increase direct bookings by 10-30% within three months.
Key numbers
- Its flagship product, "Oli," is a conversational AI that handles lead qualification and nurturing 24/7 via email, text, and WhatsApp in any language.
- OnCourse AI reports that its platform has a 60% conversion rate from interaction to qualified lead, with clients seeing 2.5 times more qualified leads than with previous systems.
- One key reason is its round-the-clock operation, as one client discovered that 76% of lead conversations happen after business hours.
- Beyond lead response, AI is heavily used for dynamic pricing; hotels that have implemented AI-driven pricing strategies have seen an average increase of 10-15% in revenue per available room (RevPAR).
Quick answers
What happened in AI as a 'Force Multiplier' for Hotel Sales?
AI isn’t just about automation—it’s about empowering your sales teams to focus on high-value interactions, while the system handles the repetitive, time-consuming tasks. So argued Greg Sukornyk, CEO of Oli Labs, on *The Modern Hotelier* podcast. He noted that AI can instantly surface relevant offers and availability when a lead comes in, accelerating response times and increasing conversion rates.
Why does AI as a 'Force Multiplier' for Hotel Sales matter?
The company behind the technology, OnCourse AI, was co-founded by Greg Sukornyk after he identified that hotel operators were struggling to manage a high volume of sales leads. Its flagship product, "Oli," is a conversational AI that handles lead qualification and nurturing 24/7 via email, text, and WhatsApp in any language. OnCourse AI reports that its platform has a 60% conversion rate from interaction to qualified lead, with clients seeing 2.5 times more qualified leads than with previous systems. One key reason is its round-the-clock operation, as one client discovered that 76% of lead conversations happen after business hours. Beyond lead response, AI is heavily used for dynamic pricing; hotels that have implemented AI-driven pricing strategies have seen an average increase of 10-15% in revenue per available room (RevPAR). These systems analyze millions of data points, including booking patterns and competitor pricing, to optimize rates in real-time. For multi-property operations, AI systems can forecast demand for services beyond just rooms, such as restaurant bookings and spa appointments, allowing for optimized staffing schedules that avoid costly overstaffing. AI-powered sensors can also predict equipment maintenance needs before a failure occurs, reducing downtime and its impact on guests. AI enables hyper-personalization by analyzing guest data from past stays to tailor marketing campaigns and offers. A case study by the guest data platform Revinate found that personalized campaigns based on guest preferences increased direct bookings by 30%. The global market for AI in the hospitality sector is projected to reach $8.1 billion by 2030. Reflecting this trend, a recent survey found that 77% of hotel CEOs consider AI a "critical" technology for their five-year strategy. AI-powered chatbots are evolving to become direct booking tools rather than just informational assistants. By integrating directly with a hotel's property management system (PMS), they can check real-time inventory, guide guests through the booking process, and handle upsells, which can increase direct bookings by 10-30% within three months.
