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How A Retro Tale Unified Luxury Resale Operations with Custom Ecommerce Platform

A Retro Tale operates a growing luxury vintage and resale business with complex workflows spanning supplier intake, product enrichment, inventory, Centra publishing, resale marketplaces, customer offers, orders, shipments, returns and business reporting.

CodeNdCoffee designed and developed a custom ecommerce operations platform that brings these workflows into one connected back-office system.

4+ years Ongoing engineering and platform development
15+ workflows Headless commerce, marketplaces, orders and resale operations
One platform Products, inventory, offers, orders and reporting
AI-assisted Catalog processing with structured human review
Overview

The Operational Software Behind Luxury Fashion Resale

More Than Ecommerce

Every luxury item follows a complex journey through sourcing, authentication, inspection, pricing, photography, categorisation, publishing, fulfilment, returns and reporting. Traditional ecommerce dashboards simply weren't designed for this level of operational complexity.

The Challenge

Existing ecommerce administration tools couldn't support growing internal workflows. Teams relied on multiple disconnected systems, spreadsheets and manual processes.

Custom Middleware Development

A dedicated middleware and back-office platform built around real operational workflows.

Rather than becoming another ecommerce website, the platform became the operational engine powering inventory, suppliers, orders, marketplace publishing and business reporting.
Inventory Suppliers Marketplace Orders Reporting
Challenge

Scaling one-of-a-kind inventory across multiple commerce channels.

Luxury and vintage resale businesses face operational challenges that conventional retail systems are not always designed to handle.

01

Fragmented product intake

Supplier invoices and incoming-goods information needed to become structured product records without repeated manual entry.

02

Manual catalog preparation

Catalog teams needed faster ways to prepare titles, attributes, categories and metadata while retaining human quality control.

03

Limited lifecycle visibility

The team needed a clear view of every item between intake, enrichment, review, publication, sale, return and recovery.

04

Multi-channel complexity

Centra, resale channels, orders, shipping and internal inventory had to work as connected workflows rather than isolated systems.

05

Disconnected reporting

Management needed reliable reporting for revenue, stock, margins, VAT, COGS, inventory turnover, returns and sales performance.

Workflow

From supplier intake to multi-channel sale

Every luxury item follows a structured path from source to sale, with clear handoffs between teams and systems.

This connected commerce workflow helps luxury resale teams manage product data, inventory, supplier intake, marketplace publishing and order operations from one reliable operational system.

Supplier intake — Documents, invoices and source data create incoming-goods records.
Product creation — Each item becomes a structured record with brand, model and commercial data.
AI enrichment — Attributes, taxonomy, naming and metadata are prepared for review.
Human approval — Specialists validate uncertain and commercially sensitive information.
Centra publishing — Approved products are published and tracked through publication history.
Marketplace — Channel-specific catalog, stock and order workflows use central product data.
Orders & reporting — Fulfilment, returns, stock recovery and KPI reporting close the operational loop.
Solution

A Smart Back Office Built Around Real Business Operations

Instead of disconnected modules, we built one connected operational ecosystem where products, inventory, suppliers, marketplaces and orders work together in a single workflow.

ART Middle Layer dashboard for Retro Tale showing inventory, orders, returns, Centra publishing, marketplace activity and operational reporting
ART Middle Layer dashboard visualising Retro Tale inventory, order, return, Centra publishing and marketplace operations.
Operational capability map

Major connected modules across the ART Middle Layer

One shared operational system connects product intake, enrichment, publishing, resale, fulfilment, intelligence and administration.

Supplier Processing

Capture, validate and prepare supplier information before it enters the operational workflow.

Incoming Goods

Turn incoming-goods records, invoices and deliveries into traceable inventory data.

Publishing Preparation Flow

Run child modules and status-based pipelines to prepare inventory data for publication.

AI Product Data Enrichment

Generate product attributes from images and source data through a separate AI processing layer with human review.

Verification & Review

Give catalog specialists clear review queues for uncertain, sensitive or incomplete information.

Centra Publishing

Publish approved products and track their status through the Centra commerce workflow.

Connected Marketplaces

Synchronise channel-specific catalog, stock, offers and order workflows from central data.

Sell Vintage

Manage the complete flow for products bought directly from customers and prepared for resale.

KPIs & Forecasting

Give buying teams intelligence on performance, demand and which inventory to prioritise next.

Stock Issues & Claims

Track stock discrepancies, issues and claims through a controlled resolution workflow.

Physical Store Inventory

Manage products and stock allocated to physical stores alongside digital channels.

Influencer Inventory

Track products sent to influencers and maintain visibility of their status and return.

Ingrid Shipments

Book and monitor shipments through the Ingrid integration and fulfilment workflow.

Marketplace Integrations

Connect Vestiaire Collective, Rebelle, Ahlens, MPD, CJ and other resale channels.

History & Error Logs

Keep in-depth history for debugging and instant tracking when integrations fail or stop.

Organisations & Teams

Structure operational ownership across organisations, teams and working groups.

Users & Roles

Control access and responsibilities with role-based user and permission management.

Inventory Management

Convert supplier information into structured inventory while maintaining complete history.

AI Product Data Enrichment

AI-assisted product enrichment combined with business validation for consistent catalog quality.

Middleware Integration

Automated validation, synchronization and monitoring before data reaches Centra.

Marketplace Operations

Manage inventory, marketplaces, offers and internal operations from one centralized dashboard.

6+

Connected Business Modules

Each module is designed around a specific operational area, but all share the same product, inventory and order data — so nothing gets lost between systems.

Inventory Suppliers Marketplace Orders Reporting
AI Enrichment

Applying AI where it reduces operational work

AI Product Data Enrichment is embedded into selected workflows instead of being treated as a standalone feature. It reduces repetitive preparation while keeping catalog specialists involved in reviewing uncertain or sensitive data.

Human-in-the-loop

Automation prepares, specialists verify before publication.

AI Product Enrichment

AI Assisted Workflow

Prepare → Review → Publish

Invoice & order intake

Read supplier invoices, purchase orders and incoming-goods documents as structured inputs.

Document extraction

Extract supplier, SKU, brand, model, pricing and reference data from source documents.

Image understanding

Process product images through a separate AI image layer to identify visual product signals.

Category routing

Apply category-aware logic across bags, watches, jewellery and accessories.

Attribute generation

Suggest brand, model, style, variant, dimensions, condition, material and other product attributes.

Content & price signals

Prepare titles, descriptions, metadata and suggested sale prices for review.

Confidence & validation

Check required fields, conflicting values, taxonomy and confidence before a record moves forward.

Human-in-the-loop review

Route uncertain or commercially sensitive suggestions to catalog specialists for approval.

Publish-ready output

Return approved structured data for Centra, connected marketplaces and internal workflows.

Supplier invoice prefill

AI suggests relevant supplier information and reduces repetitive entry.

Learn more

Product title improvement

AI improves naming quality and search visibility.

Learn more

Product data enrichment

AI prepares attributes, descriptions and structured metadata.

Learn more

Important: In luxury resale, incorrect product details can impact trust, pricing and marketplace acceptance. AI extracts and prepares product intelligence while specialists verify uncertain attributes before publishing.

Integrations

Connecting the systems behind the storefront

The custom platform acts as an operational hub where commerce, inventory, logistics and AI services work together through one controlled workflow.

6+

Connected Systems

1

Central Platform

Real-time

Data Flow

Internal operations platform

Manages product intake, enrichment, inventory, offers, orders, returns and reporting.

Centra headless commerce

Headless API — Approved product data is prepared for Centra, while publication histories remain visible internally.

Resale & marketplace channels

Multi-channel — Channel workflows use the central product structure for catalog, stock and order processes.

Shipping and logistics

Ingrid integration — Shipment records, fulfilment, returns and product recovery remain connected to the operational history.

AI services

OpenAI — AI models assist with document processing, catalog enrichment, product content and data recovery.

Reporting layer

Custom dashboards — Operational data is transformed into dashboards, KPI reports and downloadable exports for management insight.

Impact

A clearer, faster and more scalable resale operation

The platform gives A Retro Tale one operational environment for managing the processes behind its luxury resale business.

4+Years Ongoing
15+Workflows
53KProducts
€50.7MRevenue

Faster product preparation

Supplier intake, structured fields and AI-assisted enrichment reduce repetitive preparation before products reach Centra and external channels.

Better product visibility

Item-level statuses and histories show where products are in the lifecycle and make failed, delayed or incomplete records easier to identify.

More consistent catalog data

A shared product structure supports consistent titles, attributes, categories, descriptions and marketplace information.

Connected multi-channel operations

Centra, marketplace workflows, internal stock, orders, logistics and returns operate as connected processes rather than isolated activities.

Structured customer resale acquisition

The Sell Vintage module connects customer submissions, offers, consignments, shipping, payment and inventory creation.

Decision-ready reporting

Management can review commercial and operational performance without manually combining multiple sources for every report.

A platform that can continue evolving

Because the platform was designed around the business's own workflows, CodeNdCoffee can continue adding integrations, operational rules, reporting models and automation as A Retro Tale grows.

Technology

Built for long-term commerce operations

The platform was developed using technologies selected for maintainability, integrations and ongoing product development.

Laravel

Backend

Vue 3 + Inertia

Frontend

Tailwind CSS

Interface

Centra

Commerce APIs

Ingrid

Logistics

OpenAI

AI Services

Marketplaces

Integrations

Admin + Roles

Permissions

Cloud

Infrastructure

Backups

Data Protection

KPIs

Reporting

APIs

Integrations
Partnership

An ongoing engineering partnership

Discuss your next evolution

A Retro Tale's operations continue to evolve as the business introduces new product sources, channel requirements, internal processes and reporting needs.

CodeNdCoffee works as a long-term engineering partner rather than treating the platform as a one-time delivery. New capabilities are designed within the existing architecture so the system can evolve without creating disconnected tools or unnecessary operational complexity.

Luxury FashionCentra IntegrationMiddlewareMarketplace OpsCatalog AutomationAI EnrichmentResale WorkflowsKPI Reporting

Building complex ecommerce operations around Centra, marketplaces or custom workflows?

CodeNdCoffee designs the middleware, catalog automation, integrations and operational software that keep fashion and ecommerce businesses running.

Whether your team is struggling with supplier data, product enrichment, inventory visibility, marketplace synchronisation or disconnected reporting, we can help you design a system around the way your business actually operates.

Frequently asked questions

A connected operations platform, explained

Answers about the workflows, AI enrichment, integrations and operational intelligence built for A Retro Tale.

What did CodeNdCoffee build for A Retro Tale?

CodeNdCoffee built a connected ecommerce operations platform and middleware layer that brings supplier processing, incoming goods, catalog preparation, inventory, publishing, marketplace workflows, fulfilment and reporting into one operational system.

How does the platform support AI product data enrichment?

A separate AI processing layer analyses supplier invoices, purchase orders and product images to suggest attributes such as brand, model, style, variant, dimensions, condition, material and sale price. Specialists review uncertain or commercially sensitive values before publication.

Which commerce and marketplace workflows are connected?

Approved product and inventory data can move through Centra, connected resale marketplaces, Ingrid shipment workflows and channel-specific integrations while keeping publication status and operational history visible in the middle layer.

Which operational modules are included in the middle layer?

The platform includes supplier and incoming-goods processing, publishing pipelines, verification and review, Sell Vintage, claims management, physical store inventory, influencer inventory, organisations, teams, users and roles, with additional capabilities designed around the business.

How does the system help teams make better inventory decisions?

Detailed KPI and forecasting views give buying teams visibility into stock, sales, margins, ageing inventory and performance so they can identify which products, categories and channels to prioritise next.