Monnarita
A Shopify store ready for the season.
SLA and continuous development for a store selling garden furniture and boho decor: native sections instead of apps, lighter pages and preparation ahead of the season. Monnarita is a Shopify store with garden furniture and boho-style decor. Its range includes rattan and ceramic products, among others. The assortment is bulky, seasonal and highly visual: customers buy with their eyes, and most sales are concentrated in spring and summer. It works with Gorilla Commerce on an SLA and continuous development model.
01 Challenge & approach
× Before
- Everyone doing a little. After launch, many people made changes, each a little at a time. No one was responsible for the whole, and the store was losing consistency. It was also hard to tell which change caused a given problem.
- App creep. New features were added through yet more Shopify apps. Each one added scripts, costs and the risk of conflicts. The site was loading more and more code that no one controlled.
- Heavy images. A visual assortment needs large photos. Without optimization, they weighed down Core Web Vitals, especially LCP and CLS. The page shifted while loading, and the main image appeared late.
- Seasonality. Spring and summer are peak sales season. A bug during this period costs more than in any other month. The store must be ready before traffic rises.
- No dedicated team. Fixes waited for weeks because there was no team that knew the store and responded within an agreed time. In peak season, a delay like that means lost orders.
→ Our approach
Ongoing technical care under an SLA, native Liquid section development, and continuous performance optimization
- An SLA with a single channel. We introduced one channel for requests and an agreed response time. The client knows where to report a problem and when they will get an answer.
- Incidents separate from development. Critical incidents, such as the cart and payments, take priority over development. We test changes on staging first. A new section does not reach customers until it passes testing.
- Liquid sections instead of apps. We built bestsellers, new arrivals, material blocks and dual-path navigation as native theme sections. Fewer apps mean fewer scripts and fewer dependencies. The sections are part of the theme, so they will not disappear when a third-party vendor changes its pricing.
- A performance audit. We reviewed apps, asset loading, image formats, lazy loading and the GTM configuration. Every element that slowed the site down got a decision: it stays, it changes or it goes.
- Payment and logistics integrations. We tidied up BLIK, Klarna, cards, Apple Pay and Google Pay, Paczkomaty parcel lockers, bulky-item transport and product feeds. With furniture, the delivery method is part of the purchase decision.
- Getting ready for the season. Before peak sales, we review the store. Problems surface before the season, not during it. At peak time, the team focuses on selling, not firefighting.
- Bestsellers and new arrivals section. The key products are shown in a native theme section. The client's team changes its content themselves without an extra app.
- Material blocks. Customers browse the range by material, such as rattan or ceramics. For a visual assortment, it is a natural way to choose.
02 Stack technologiczny
Shopify
Store platform, furniture and decor catalog, orders and customer service.
Liquid
Native theme sections instead of apps.
GTM and GA4
Consistent e-commerce event tagging and analytics.
Payment and logistics integrations
BLIK, Klarna, cards, Apple Pay, Google Pay, Paczkomaty parcel lockers and bulky-item transport.
03 Results
What changed.
No dedicated team, ad-hoc changes by multiple parties
→
Dedicated SLA team with guaranteed response times
Technical ownership
App creep, conflicting third-party scripts, sluggish pages
→
Native Liquid sections, clean codebase, full theme control
Theme architecture
Risk of breakdowns and lag during garden peak season
→
Audits and performance work completed ahead of traffic peaks
Season readiness
Analytics discrepancies and decisions based on guesswork
→
Consistent GTM tagging, verified feeds, data-backed decisions
Marketing data
Does your Shopify store have a season?
We will look after it on an SLA model before peak sales arrive. If your Shopify store keeps accumulating apps, check which of them can be replaced with a native section. Every app removed means fewer scripts and less risk of conflicts. With seasonal sales, response time matters most, so an SLA with a clear request channel protects revenue at peak. A pre-season review costs less than a breakdown in the middle of it.
Let's talk about store care →