The challenge

HOM Mini Chalets operates 12 high-end properties in a market where the quality of the customer experience leaves no room for error. A poorly prepared room, an unreported faulty equipment, a missing inventory item before a stay: each of these unforeseen events directly translates into customer dissatisfaction.
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Yet, until recently, all operational coordination relied entirely on two owners and decentralized processes: handwritten notes, emails, texts, physical whiteboards. Recurring maintenance tasks were delegated verbally, by email, or noted on non-centralized boards. There was no technological tracking of what had been done, what remained to be done, or what was urgent. When an issue arose in a chalet, the team verbally notified the owners, who then had to remember it, note it down somewhere, and hope not to forget it before the next stay.
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Without a centralized tool, it was impossible to get a clear view of priorities. There was a direct operational dependence on the owners to distribute work to employees. The cognitive load was high, the risk of oversight was real, and duplicate entries were frequent. In total, the team lost between 20 and 30 hours per month on manual coordination, redundant follow-ups, and unstructured communication.
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Added to this was a second challenge: managing repetitive customer inquiries via email. Requests accumulated, and the quality of responses depended directly on the owners' time, energy, and availability. A silent, but constant, overload.

The collaboration

Quartier AI began its engagement with an AI Strategy (DiagnosticOS) for HOM Mini Chalets' operations. The objective was to precisely map out friction points before making any changes. This work confirmed what the owners experienced daily: their operations were entirely dependent on their memory and availability, lacking the infrastructure to support their growth.

Based on this strategy, Quartier AI designed and developed HOM OS, custom-tailored for the reality of a tourist accommodation operator. The solution was built in five phases: data collection and development plan, establishment of technological foundations, application development, deployment and optimization, followed by transition and final documentation.

The development relied on continuous collaboration with the HOM team at every stage, not a black-box delivery, but constant back-and-forth to ensure that each feature corresponded to the on-the-ground reality of the owners and their employees.

“Quartier AI quickly understood our operational reality and translated our needs into an intuitive and perfectly adapted solution. Their attentiveness, rigor, and ability to suggest improvements truly optimized our internal processes, ensuring an impeccable experience for our clients.”

Dominique-Laflamme

 The owners, HOM Mini Chalets

HOM OS has been delivered and fully deployed. The platform is now in active production.

The deployed solution

HOM OS centralizes all HOM Mini Chalets operations from a single interface. Here's what's currently in production.

Chalet Dashboard

Each of the 12 properties has its own real-time profile: active tasks, open requests, maintenance status. Owners now have the comprehensive overview they were missing.

Automated management of recurring tasks

Maintenance tasks (daily,
weekly, monthly, seasonal) are generated automatically according to predefined rules. No more verbal briefings, no more scattered spreadsheets, no more forgotten tasks.

Service Request Management

Employees directly submit issues and service requests within the platform, including urgency levels. The information arrives structured, without intermediaries and without delay.

Automated Notifications and Summaries

Each morning, the team receives a report of the tasks scheduled for the day. Overdue tasks and low inventory alerts are pushed automatically, without human intervention.

Centralized Inventory Tracking

The list of items per facility is maintained in real-time, with automatic alerts for low stock. No more last-minute discoveries before a stay.

Separate Employee View

Team members access their tasks without seeing all administrative data. Everyone knows exactly what to do, without having to

AI Colleague - Email Customer Support

For each incoming request, the AI colleague automatically drafts a response tailored to the client's context. Owners only need to validate and send. The drafting work, which constituted the bulk of the workload, is entirely handled by AI.

The Results