How We Built a Rental Platform That Handles 30,000+ Bookings a Month

Carrefour Location was losing customers to clunky processes. We rebuilt their entire booking engine from scratch.

Client: Carrefour Location Year: 2024 Category: Mobility
30,000+
Monthly Bookings
<300ms
Response Time
500+
Locations Synced
99.9%
Uptime
How We Built a Rental Platform That Handles 30,000+ Bookings a Month
“Systechra transformed our rental platform. Booking abandonment dropped 40% in the first quarter.”
Director of Digital
Carrefour Location

The Problem

Carrefour Location was hemorrhaging bookings. Their rental platform couldn’t handle dynamic pricing across 500+ branches. Customers abandoned reservations mid-flow. Branch managers juggled spreadsheets to track vehicle availability.

The existing system wasn’t just outdated—it was actively losing revenue.

The Stakes

Carrefour is one of Europe’s largest retailers. Their vehicle rental division needed a platform that could match the scale of their retail operations. Without a fix, they’d continue losing market share to competitors with better digital experiences.

Our Approach

We started with the booking flow—step 3 was where 60% of users dropped off. The pricing engine couldn’t handle location-based rates, and inventory wasn’t syncing in real-time.

We chose microservices architecture because booking, pricing, and inventory needed to scale independently. PostgreSQL with PostGIS gave us location-aware search. Redis caching kept response times under 300ms even during peak hours.

What We Built

  • Booking engine that processes reservations in under 300ms
  • Real-time inventory sync across 500+ branches
  • Dynamic pricing that adjusts by location, season, and demand
  • JWT/OAuth2 authentication for admins, staff, and partners
  • REST APIs that power both web and mobile experiences

The Results

Within 6 months:

  • 30,000+ bookings per month processed reliably
  • Booking abandonment dropped 40%
  • Response times under 300ms even during peak load
  • GDPR-compliant data handling across all flows

What We Learned

The hardest part wasn’t building the features—it was migrating live data without downtime. We ran parallel systems for 3 weeks, validating every transaction before cutting over.

The lesson: enterprise platform migrations aren’t about the new code. They’re about not breaking the old one while you build it.

Technologies Used

Mobility Car Rental Spring Boot Microservices PostgreSQL Vue.js Scalability

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