E-commerce 2023-2026

Fleurop

Magento e-commerce with extreme peak handling: checkout hardening, ERP integration and dedicated monitoring for high-demand campaigns.

3 years (ongoing) 5 specialists 2023-2026

Services

Magento Development
ERP Integration
Performance Optimization
E-commerce
Monitoring

Related services

01The challenge

Fleurop manages an e-commerce with extreme demand peaks on key dates (Valentine's Day, Mother's Day) and a highly sensitive operation where delivery depends on specific zones and time windows. The tolerance for checkout failures is zero. The integration with their proprietary ERP (catalog, availability, orders, statuses) carried a risk of inconsistencies, especially during high-demand campaigns.

02The solution

We applied comprehensive Magento hardening: performance optimization on listing and product pages, checkout stability, granular cache control and protection against traffic spikes. We implemented dedicated monitoring for critical dates. For the ERP integration, we designed asynchronous processes where appropriate, synchronization audits, a retry system, meaningful logs for debugging, and QA focused on real-world scenarios such as holidays and zone restrictions.

Tech stack

How it's built

Engine

Magento 2 E-commerce platform
PHP Back-end language
RabbitMQ Message queues

Data

MySQL Database
Redis In-memory cache
Varnish HTTP cache
Elasticsearch Search engine

03Architecture

How a request flows

An order is confirmed at Magento's checkout, hardened to withstand traffic spikes on dates like Valentine's Day or Mother's Day
The order is queued asynchronously with RabbitMQ to sync with Fleurop's own ERP without blocking the response to the customer
The sync process queries catalog, availability and order status in the ERP, with automatic retries if the connection fails
Varnish and Redis serve listing and product pages from cache to keep load times low even during peak demand
A monitoring system dedicated to critical dates watches the integration and triggers alerts if it detects inconsistencies in the sync

04Measured impact

Results

+14% Checkout conversion (peaks)
-22% Cart abandonment
-33% PDP load time
+11% YoY campaign revenue

Verifiable data

Metrics in detail

Years of ongoing collaboration (2023-2026): 3+
Specialists on the project team: 5
Extreme-peak seasonal campaigns covered (Valentine's Day, Mother's Day): 2
Infrastructure pieces to withstand campaign peaks (Varnish, Redis, RabbitMQ queue): 3

Methodology: Project scope data: duration and team come from the collaboration contract (2023-2026); the campaigns covered and the infrastructure, from the e-commerce operation. The conversion, cart abandonment and revenue metrics are in the results section of this case study.

05The process