The hotel industry is in the middle of a fundamental shift in how guests communicate with properties. Independent operators face a particularly acute version of this challenge: 24/7 guest expectations colliding with lean staffing, hybrid contactless properties, and bookings that arrive at all hours from Airbnb, VRBO, Expedia, and direct channels. Vacation rental operators in markets like South Florida and the Keys deal with this every night.
HelloShift partners with these operators by combining AI voice answering, AI-powered guest messaging, contactless check-in, and staff collaboration into a single platform. SoFLA Vacations, a multi-property vacation rental operator led by Andy Korge, exemplifies how this approach lets a small independent team deliver a guest experience comparable to a large branded chain. On the Bed and Bread Podcast in April 2026, Andy walked through how HelloShift’s AI now handles roughly 85 percent of guest inquiries across his portfolio without human intervention.
SoFLA Vacations is a multi-property vacation rental and boutique hotel operator headquartered in South Miami. The portfolio spans six properties across South Miami, Hallandale Beach, Coral Gables, the Florida Keys, and a single property in New York City (The New Yorker on The Avenue Coral Gables). Properties run on a hybrid model: some have daytime front desks while others are fully contactless with no on-site staff. SoFLA lists across Airbnb, VRBO, Expedia, and Trip Advisor in addition to direct bookings, which means guests reach out across phone, SMS, OTA messaging, email, and the property website at every hour of the day.
Before SoFLA standardized on HelloShift, the operations team faced two pressures common to independent hospitality groups. First, guest inquiries arrived through too many channels with no unified inbox, which meant late-night calls, Airbnb messages, and direct emails were tracked in different places by different team members. Second, the cost structure of an independent operator does not support a 24-hour front desk at every property, so callers and chat messages outside daytime hours were either missed entirely or routed to voicemail boxes that staff cleared the next morning. By that time, the guest had often already booked elsewhere or escalated a fixable issue into a complaint.
The team needed a platform that would unify guest communication across channels, answer routine questions consistently and instantly, capture inbound bookings around the clock, and hand off cleanly to humans for the cases that genuinely require one. They also needed it to work alongside their existing stack, which includes Cloudbeds as the property management system and Twilio for SMS delivery.
HelloShift gave SoFLA a single platform that handles the full lifecycle of guest interaction, from the first phone ring through post-stay messaging. Four capabilities stood out in how the team uses it day to day.
The HelloShift AI Voice agent picks up inbound calls within the first ring, answers in the property’s voice, and resolves most questions without a human ever joining the line. As Andy described it, the AI immediately answers the phone first and it cures most of the questions, and if the person wants to get a live voice we give them that option. The HelloShift Team confirmed the broader pattern on the same episode: in fully contactless hotels with consistent training, the AI manages around 85 percent of guest queries or requests without needing a human, and the gap closes further as properties refine the FAQs and policies the AI is trained on.
The single highest-leverage outcome SoFLA reports is bookings captured from calls that would previously have died at voicemail. When a caller phones at 2am asking about availability, the AI gathers dates and party size and immediately texts or emails a direct booking link to the caller’s phone. Andy described this mechanic as one of the most valuable in the entire stack. Independent operators historically lost these guests to OTA listings or to whichever competitor returned the call fastest the next morning. With AI voice, the booking link arrives during the same conversation.
SoFLA’s front desk shifts end at 11pm, but flights, road trips, and OTA bookings do not. HelloShift’s contactless check-in automation, integrated with Cloudbeds, takes over after hours: it sends the guest pre-arrival messages with door codes, parking instructions, and property notes, then handles late check-in inquiries via AI voice and chat. The result is that guests arriving at midnight have the same self-service experience as guests arriving at noon, without requiring an overnight staff position at every property.
South Florida’s vacation rental market draws guests from across Latin America, Europe, and Canada. Many of them open conversations in Spanish, Portuguese, or French. HelloShift’s AI replies in whichever language the guest used. As the HelloShift Team noted on the podcast, one of the best things about our AI is that it speaks any known language; we can ask a question in Spanish and it will reply to the guest in the language that they are using. The platform supports more than 100 languages, which removes a friction point that smaller independent operators historically could not staff against.
The financial outcome SoFLA reports is the kind of clean, fast payback that hospitality operators rarely see from new software. Andy summarized it directly on the podcast: HelloShift more than paid for itself in the first month, primarily through captured bookings from after-hours calls and through fill-rate improvements on otherwise-empty room nights.
Two revenue mechanics drive the math. First, after-hours booking capture: a single recovered reservation from a 2am inquiry typically covers a full month of platform cost, and SoFLA sees these regularly across the six properties. Second, the AI proactively reaches out to guests with adjacent bookings to offer gap-night extensions at modest discounts, which fills nights that would otherwise have stayed empty. Both mechanics compound: every property added to the portfolio sees the same lift without adding overnight staff costs.
The full conversation between Andy Korge of SoFLA Vacations and the HelloShift team aired on the Bed and Bread Podcast (Episode 11). It runs about 49 minutes and covers AI voice, guest messaging, late-arrival automation, multilingual replies, and how independent vacation rental operators can compete with the larger chains on guest experience.
Watch the full episode on YouTube
Listen on Spotify
SoFLA’s experience points to a broader shift in how independent operators can compete. AI voice and AI-powered guest messaging remove the historical disadvantage that smaller properties had against branded chains: branded chains could afford 24-hour staffing, central reservations, and multilingual support, while independents could not. With HelloShift, an independent operator with six properties and no overnight desk delivers a guest experience that is, on most measurable dimensions, indistinguishable from a much larger chain. Andy summarized the effect plainly: independent properties can now compete with the big boys on the experience side, without taking on the staffing footprint.
SoFLA Vacations represents a particular kind of HelloShift customer: a multi-property independent operator running a hybrid contactless model, with revenue spread across multiple booking channels and a real need to be available to guests at all hours without expanding overnight staffing. HelloShift’s combination of AI voice answering, AI guest messaging, contactless check-in, and Cloudbeds integration handles roughly 85 percent of inquiries automatically and captures bookings and gap-night extensions that previously went uncaptured. The platform paid for itself in the first month and continues to compound across every property the team adds.
For independent hotels and vacation rental operators evaluating how AI fits into their guest experience, SoFLA’s deployment offers a concrete picture of what the platform looks like in production. To explore HelloShift for your property, see HelloShift AI Voice or request a demo.
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