More revenue. Less operational friction.

British Columbia's hospitality sector spans some of Canada's most diverse and competitive markets. Vancouver luxury hotels competing for international business travel and tourism. Whistler and Revelstoke ski resorts managing intense seasonality. Okanagan wineries balancing tourism experiences with direct-to-consumer sales. Victoria boutique hotels catering to a mix of leisure and government travel. Each context requires a different AI approach.

For Vancouver hotels, the highest-value AI applications are typically revenue management (dynamic pricing using ML demand models), guest communication automation (pre-arrival, in-stay, and post-stay sequences), and operational efficiency (staffing optimization, inventory management). A well-implemented revenue management AI typically improves RevPAR by 15–22% in the first year.

For Okanagan wineries, reservation and tour booking automation is the most immediate win — handling the high volume of summer booking inquiries without additional staff. AI recommendation engines for wine pairing and club membership upsells drive meaningful revenue per visitor improvements. Inventory forecasting for seasonal production planning is a longer-term but high-value application.

For restaurants, AI is most valuable for reservation management, review response, and kitchen inventory optimization. The specific tools and integrations depend on whether you are running OpenTable, Resy, or a custom booking system, and what POS you are using. We build integrations for all major hospitality platforms in use across BC.