How Pick a Flat Standardised Operations Across 300+ Paris Apartments
Managing over 300 apartments in Paris, one of Europe’s most competitive short-term rental markets — leaves no room for operational friction.
With constant check-ins, check-outs, mid-stays, maintenance requests, and inspections happening simultaneously, Pick a Flat needed more than just reservation management. They needed operational precision at scale.
Here’s how they built a system that connects reservations to execution, and what other property managers can learn from their approach.
The challenge for apartment rentals since a very long time, is that no tools have ever been specifically built for them. This means that they have had to use tools built for hotels. What has this meant in reality? Well, they haven’t been able to add standards PER apartment, include building, codes and property information for the staff, a simple thing such as applying a google maps link to the apartment and “Building code 1212, 2nd floor, apartment 201 on the left”, had not been possible. Neither has it been possible to automatically assignig cleanings based on distance between apartments nor has it been possible to add HOURS of cleaning to forecast based on the cleaning type and if it is a studio, one bedroom, two bedrooms etc.
This GAP that exists between systems that are out there today and actual operations of apartment rentas has been huge. Even though there are some systems today that try, they don’t handle the whole operations scope such as lost and found, inventory, automated assignments and more, it is just another tasking tool.
This is why we have built a system SPECIFICALLY for all apartment rental operators that goes beyond “streamlining operations”.
The Challenge: Scaling Without Losing Control
For a company such as pick a Flat, or any other property manager, that operates a mixed portfolio of short- and long-term rentals across Paris they experience high turnover and strict timelines meant even small inefficiencies could quickly multiply.
Before restructuring operations, the team faced familiar scaling challenges:
- Reservation data lived in the PMS, but operations were coordinated manually
- Cleaning teams lacked real-time updates
- Maintenance issues were reported inconsistently or not at all and updated on paper
- Managers spent HOURS per day coordinating tasks, two people were assigned to manually taking calls, entering tasks into their previous system and manually dispatching them
- Apartment quality varied depending on who performed the work
“We were growing fast, but operationally it felt like we were constantly catching up,” says the Operations Director at Pick a Flat. “The bigger we got, the more coordination we needed — and that wasn’t sustainable.”
The core issue wasn’t reservations, it was what happened after the booking was confirmed.
There must be a better way in 2026 to do all this, especially with how far technology has come today.
In comes the automations.
Connecting Reservations to Real-World Execution
Pick a Flat structured its tech stack around clear roles:
- The PMS manages reservations, guest data, and stay information.
- RoomChecking manages operational execution, read the data from the PMS and automatically triggers and routes workorders to the right person or team.
Once a reservation is created, operational workflows are automatically triggered, from departure cleaning to inspections, preparation tasks, and maintenance coordination.
This separation created clarity across teams.
“Before, we were interpreting bookings manually and creating tasks ourselves. Now, reservations automatically translate into structured workflows. It removed guesswork entirely.”
For large-scale operators, this architecture is key: the PMS answers who is staying and when, while operational software ensures the apartment is ready — consistently.
What does this mean in reality? It means that we already have all the information about the reservation, we know depending on the lenght of stay, rate code, group, PMS notes, OTA or any other information what they will need during their whole stay. You can see how that works below.
Standardizing Cleaning, Instructions & SOPs Across 300+ Units
One of the biggest operational risks in large portfolios is inconsistency.
Pick a Flat embedded structured cleaning logic directly into their workflows:
- Tasks generated automatically based on length of stay
- Rules adjusted by building, floor, and guest type
- Automatic scheduling for mid-stays and departures
- Pre-arrival checks built into every turnover
Instead of manually planning daily assignments, teams receive structured task lists based on real-time reservation data.
“Our cleaning standards no longer depend on who is working that day. The system enforces consistency,” explains their Head of Field Operations.
The result: fewer missed tasks, smoother turnovers, and reduced managerial oversight.
Mandatory Checklists = Predictable Quality
To ensure uniform quality, Pick a Flat implemented mandatory checklists at key operational stages:
- Post-check-out apartment checks
- Cleaning validation before task completion
- Inspection or self-inspection before release
No apartment can be marked ready without completing required steps. This means that there is no option for the PMS to receive the inspected status before certain pictures have been taken and questions been answered.
For high-density urban portfolios, working with volume and luxury, this structure protects brand reputation and guest satisfaction.
From Reactive Maintenance to Structured Data
Maintenance reporting used to rely on free-text messages and verbal updates. That made trend analysis impossible.
By standardizing issue reporting through predefined categories and asset tracking, Pick a Flat gained visibility into:
- Recurring issues by apartment
- High-maintenance units
- Cost-heavy assets
- Preventive maintenance opportunities
“We moved from ‘someone mentioned a problem’ to structured data we can analyze,” says the Operations Director. “Now we make decisions based on patterns, not anecdotes.”
For hospitality operators, this shift from reactive to data-driven maintenance is a major operational upgrade.
Smarter Task Assignment Without Micromanagement
At scale, assignment complexity grows quickly. Staff availability, skills, locations, and workload distribution must all align.
Instead of daily manual allocation, assignments are rule-based and automated.
Cleaners receive apartments within their zones.
Maintenance tickets route to the appropriate technician.
Managers retain oversight without constant intervention.
“Our managers don’t spend their mornings dispatching tasks anymore. They focus on improving processes instead of coordinating logistics.”
Reducing managerial friction often unlocks scalability more than hiring additional staff.
Guest Experience Directly Connected to Operations
Operational clarity also impacts guest satisfaction.
Guests receive a mobile link allowing them to:
- Complete pre-check-in
- Access apartment information
- Request services
- Report issues
Each request converts directly into an operational task.
No screenshots. No manual forwarding. No lost messages.
For short-term rental managers, this direct connection between guest communication and field execution reduces response times and improves service reliability.
Tracking Costs at the Apartment Level
As portfolios grow, understanding per-unit profitability becomes critical.
By linking labor, materials, and maintenance costs to individual apartments, Pick a Flat gained visibility into:
- Cost per stay
- High-maintenance properties
- Vendor performance
- Long-term cost drivers
This financial transparency supports better pricing strategy and portfolio optimization.
Scaling Without Adding Operational Complexity
Perhaps the most important outcome wasn’t just automation — it was control.
“We didn’t just want to grow. We wanted to grow without chaos,” says Pick a Flat’s Operations Director. “Now we can add units without multiplying complexity.”
By clearly separating reservation management from operational execution — while keeping both fully synchronized — Pick a Flat built a scalable model that supports:
- Consistent apartment quality
- Reduced coordination time
- Structured maintenance data
- Better cost visibility
- Faster guest response times
For short-term rental operators managing dozens — or hundreds — of units, the lesson is clear:
Scaling successfully isn’t just about acquiring more properties. It’s about building an operational backbone that ensures every stay is delivered with consistency, control, and clarity.