Case Study
A family-run campsite needed to absorb growing booking demand without hiring. We engineered the full operational stack: booking automation, a 24/7 AI support agent, IoT site monitoring, and demand-based pricing, cutting manual work by 70%.
Camping & Glamping
Staff spending hours on repetitive booking inquiries and confirmations
Missing booking requests that came in outside of office hours
Manual calendar management leading to double-bookings and errors
No automated system for sending reminders and collecting deposits
No visibility into pitch occupancy or utility usage
No automated upselling of premium add-ons like hot tub sessions and hampers
Booking automation platform integrated directly with their existing calendar
AI support agent answering questions on facilities, pricing, and availability 24/7
Automated confirmation emails, deposit reminders, and pre-arrival information
Real-time availability checking to prevent booking conflicts
IoT sensor network for pitch occupancy, water, and electric metering
Automated upsell flows for wellness add-ons and premium experiences
01 / What We Built
Automated booking management with real-time availability, conflict prevention, demand-based pricing, and direct Google Calendar integration.
Answers questions on facilities, amenities, local attractions, and booking policies around the clock, so no enquiry waits for office hours.
Booking confirmations, deposit reminders, pre-arrival information, weather alerts, and post-stay review requests, all triggered automatically at the right moment.
02 / Advanced Tech
Under the hood: an IoT sensor network, automated weather alerts, and a dynamic pricing engine, all feeding one operational picture of the site.
LoRaWAN sensors metering pitch occupancy, water usage, and electric hookup consumption, feeding a real-time dashboard with usage analytics for site managers.
Automated pre-arrival questionnaires, curated local recommendations, and well-timed upsells of hot tub sessions, hampers, and fire pit kits.
Rates adjust automatically for peak seasons, bank holidays, and local events. We A/B tested it against fixed pricing: 18% more revenue.
03 / AI Search Visibility
We're engineering Welsummer's content and structured data so that when people ask AI assistants about glamping in the area, Welsummer is the recommendation.
When someone asks ChatGPT "Where's a good glamping site with a hot tub near me?", Welsummer should be the first recommendation. That's a guest ready to book, not just browse.
With booking automation and IoT-monitored facilities already in place, Welsummer has genuine substance behind its listings. Our job is structuring that evidence so AI engines can find, verify, and cite it.