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Bike rental · Arizona (USA)

A booking assistant on every site of the group

GPT ChatbotWordPressMeta Business Management APIClaudeGPTGeminiDeepSeekWhatsAppInstagramFacebook Messenger
100+
messages handled per day
3
sites, one voice

The problem

Several booking sites, inquiries at all hours and in many languages, all handled by hand. And someone who wants a bike today won't wait.

The solution

An AI assistant on each site, trained on its own content (bikes, sizes, locations, trails, prices), with the same voice everywhere and a handoff to a human for urgent cases.

Flow diagram: the group's 3 sites feed into a single GPT Chatbot, which handles messages across multiple channels (website, Instagram, Facebook Messenger, WhatsApp Business), answering on bikes, sizes, locations and prices with appointments and online booking, and escalates to a human for same-day requests and issues during the rental(opens in a new tab)
One assistant, three sites, four channels, with a human for urgent casesTap to enlarge

How it went

The client runs rentals across several different booking sites, each with its own brand and audience. Questions came in at all hours, in many languages, and all landed on the team: hours, sizes, locations, availability, prices, proximity to trails.

We put an AI assistant on each site, trained on that site's content: it knows the bike types and price ranges, recommends the right size from the rider's height, lists locations with opening hours and, for mountain bikes, the distance to the best trails. Each site keeps its own identity (name, face, colours), but they all behave the same way and to the same standard, on desktop and mobile.

The rule is to bring the user to an online booking (no walk-ins) with the right links. When a request is urgent, such as a same-day booking or a problem during the ride, the assistant hands off to a person via the shop's direct contact. The AI answers, the human steps in where it matters.

Today the system handles more than 100 conversations a day across the sites, with a consistent voice everywhere and the team freed from repetitive questions.

The product behind this case: GPT Chatbot →

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