Coco Community — Co-living booking & automated operations

Context

Coco Community operates high-demand co-living apartments in Paris. The challenge was to deliver an Airbnb-level booking experience while keeping operational constraints, occupancy volatility, and community quality standards under strict control.

The initial requirement was broader than a booking UI. The business needed one coherent operating model connecting acquisition, availability, pricing, payment, and execution workflows.

Without that structure, teams were spending time on manual arbitration and data reconciliation, with a high risk of mismatch between what users could book and what operations could actually deliver.

Approach

We built the booking layer in Bubble with a configurable pricing engine driven by check-in date, stay duration, real availability, and business constraints. Payments and deposits are managed through Stripe with explicit validation states.

In parallel, we structured Airtable as the operational backbone: apartment sourcing, owner intake flows, qualification, reservation governance, and execution tracking across internal teams.

We then connected AI-assisted response workflows to absorb repetitive inbound requests (equipment, availability, recurring pre-booking questions), while keeping rule-based safeguards for sensitive cases.

Technical architecture

The system is intentionally split by responsibility: Bubble for conversion and booking UX, Stripe for transactional reliability, and Airtable for operational governance and data consistency.

This separation keeps the customer journey fast while preserving full control of business logic on the operations side. Pricing rules, statuses, priorities, and follow-up workflows remain adjustable without degrading front-end clarity.

We also formalized reservation states and critical transitions: availability check, pre-validation, payment confirmation, and operational handover. This reduces manual rework and makes every decision point traceable.

Execution model

The rollout followed short increments: booking + payments first, then data governance, then support automation. This sequencing delivered value quickly while preserving continuity for day-to-day operations.

The team now runs with one unified cockpit: centralized visibility, explicit pricing logic, controlled booking flows, and stronger throughput during demand peaks.

Results

Coco Community now operates on a full execution architecture for booking, payment collection, and operational delivery at scale. Data is aligned, decisions are faster, and service quality remains stable through high-demand periods.

Automation of low-value inbound requests frees the team for strategic cases while preserving business control on sensitive interactions.