I
Catalogue & product data
The system of record for products: attributes, variants, media and the rules that keep them consistent across channels. Everything downstream inherits the quality of this layer.
PIMAttributesChannels
Commerce platforms · Software · AI · Cyprus
The shop is the surface. We build what is under it.
QUORATH LTD engineers the systems commerce runs on: catalogue and product-data platforms, the integrations between shop, warehouse and finance, and applied AI where it measurably reduces manual work. Registered in Cyprus, delivering across the EU.
Registered in Cyprus · HE 497191
Platform engineering, not templates
AI where it pays for itself
Platform profile · Active
Registration
HE 497191
Republic of Cyprus
Layer
Backend
Under the storefront
Where we sit in the stack
- Product data and catalogue systems
- Shop ↔ warehouse ↔ finance integrations
- Pricing, stock and availability logic
- Applied AI for classification and enrichment
Scope agreed per engagement — nothing bought on assumption
LarnacaRepublic of Cyprus · EU
01 — What we build
Four layers of the commerce stack
We work below the storefront, where catalogues, stock and integrations decide whether the shop above them can function at scale.
II
Integrations
Shop, warehouse, ERP and payment provider exchanging data reliably — including the difficult half, which is what happens when one of them is unavailable.
ERPWarehouseResilience
III
Stock, pricing & availability
The logic that decides what is sellable, at what price, deliverable when. It is the part customers notice instantly when it is wrong.
Stock logicPricing rulesAvailability
IV
Applied AI
Classification, attribute extraction, description drafting and duplicate detection across large catalogues. Used where it removes measurable manual hours — and not used where a rule is cheaper.
ClassificationEnrichmentDeduplication
In detail
How a platform engagement runs
Four stages. The first one frequently ends the project, which is a good outcome delivered early.
Stage 01 · Audit
What the data actually looks like
We take an export of the real catalogue and measure it: missing attributes, inconsistent units, duplicates. It is usually worse than anyone expected and always better to know now.
ExportMeasureReport
Stage 02 · Model
A structure that holds
A product model that survives new categories and new channels without a rebuild. Get this wrong and every later problem traces back to it.
ModelAttributesExtensibility
Stage 03 · Integrate
Make the systems agree
Interfaces with real error handling and a reconciliation path, so a failed sync surfaces as an alert rather than as a customer complaint.
InterfacesReconciliationAlerting
Stage 04 · Operate
Measured, then improved
Throughput, error rates and the manual hours actually removed. If AI did not reduce them, we say so rather than presenting activity as progress.
ThroughputError ratesHours saved
Catalogue audit · illustrativeActive
Typical finding
Data
Not design
First stage
Audit
Before any build
Missing attributesMeasured
Unit inconsistenciesMeasured
Duplicate productsMeasured
Channel gapsMeasured
Illustrative audit dimensions — not a customer report
01 — What we build
Four layers of the commerce stack
We work below the storefront, where catalogues, stock and integrations decide whether the shop above them can function at scale.
Retail & wholesale
Large catalogues where product data quality decides findability, and therefore revenue.
Manufacturers going direct
Companies with excellent products and a product database built for production rather than for selling.
Marketplaces & multi-channel
Sellers pushing one catalogue to several channels, each with its own attribute requirements.
Operations-heavy commerce
Businesses where stock, pricing and availability logic is genuinely complicated and cannot be templated.
A retailer with ten thousand products does not have a design problem. It has a data problem wearing a design problem’s clothes, and no amount of storefront work will fix it.
Quorath — engineered beneath the surface.
03 — The company
Substance you can look up
QUORATH LTD is a private limited company registered in the Republic of Cyprus, directed by George Zourides from Larnaca.
The company engineers commerce platforms and the systems beneath them, including applied AI for catalogue work. Source code and documentation transfer with each engagement.
Everything on this page can be checked against the public register. The registration number, the registered office and the director are printed below and repeated in the imprint.
- Registered EU company — Republic of Cyprus
- Backend and data layer, not storefront templates
- Source code and documentation transfer to the client
Company
QUORATH LTDPrivate limited company, Republic of Cyprus
Reg. number
HE 497191Department of Registrar of Companies
Registered office
Georgiou Karaiskaki 11-13Carisa Salonica, Office 102, 7560 Pervolia, Larnaca, Republic of Cyprus
Director
George ZouridesSole director
Activity
Commerce platforms & softwareCatalogue systems, integrations, applied AI
Languages
English & GermanCorrespondence and delivery
04 — FAQ
Clearly answered
Do you build storefronts?
Rarely, and not as the main event. We work on the catalogue, integration and logic layers beneath. Plenty of shops have an excellent storefront sitting on data that cannot support it.
Where does AI genuinely help?
Classifying products into categories, extracting attributes from supplier documents, drafting descriptions for review and finding duplicates across large catalogues. All of those have a measurable before and after.
Where do you refuse to use AI?
Anywhere a deterministic rule is cheaper and more predictable, and anywhere a wrong answer would ship to a customer without a human seeing it first.
How long does an audit take?
Usually one to two weeks. It is deliberately cheap, because its job is to tell you honestly whether a bigger project is warranted.
Who owns what you build?
The client. Source code and documentation transfer with the engagement, with no licence held back.
Which markets do you serve?
Registered in Cyprus, delivering across the EU, in English and German.
Let’s talk
A catalogue that has outgrown its structure?
Send an export and the number of products. An audit answers more in two weeks than a workshop does in two months.