AI Use Cases that Solved Real Problems in the Camping Sector for ACSI - Eastern Enterprise

AI Use Cases that Solved Real Problems in the Camping Sector for ACSI

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From multilingual guests to seasonal bookings to scattered inspections—ACSI, one of Europe’s leading camping organizations, juggles a lot. AI can turn complexity into clarity. Below are 6 impactful AI initiatives implemented for ACSI to enhance operations, guest experience, and efficiency.

Multilingual Email Classifier

Problem Problem

Hundreds of guest emails in different languages needed to be manually tagged by product and routed to the right CRM queue.

Solution Solution

NLP + deep learning model auto-detects language, identifies product, and routes the email.

Outcome Outcome

70% reduction in manual handling time, faster and more accurate support for ACSI’s international audience.

Repeat Booking Recommendation (Past Bookings)

Problem Problem

Repeat bookings dropped due to lack of timely and personalized nudges.

Solution Solution

Recommendation model identifies 3 campsites similar to the guest’s previous stay, based on region, amenities, ratings, etc. Emails sent exactly 11 months post last booking.

Outcome Outcome

25% increase in return bookings, helping ACSI improve customer retention.

Smart Recommendations (Request Form)

Problem Problem

Lost leads when preferred campsites were fully booked.

Solution Solution

System analyzes campsite enquiry and suggests 3 similar alternatives, auto-generating an email for each request.

Outcome Outcome

Recovered bookings, enhanced guest satisfaction—enabling ACSI to better serve campers even during peak demand.

Technology Stack

Python
Fast API
Deep Learning
NLP
NLP
Docker
Azure