Run a bigger catalogue without a bigger team

CSV, XML, APIs, email attachments and supplier price lists are mapped to one data model. The workflow normalises SKUs, brands, units, dimensions and values, then finds duplicates, missing required fields and conflicting variants. A poor row enters a review queue instead of creating a broken product.

Products map to your taxonomy, filters and variant templates for colour, size, material, volume or compatibility. Rules keep the catalogue consistent so navigation, search, feeds and bulk updates do not break because the same property has several names.

Verified specifications become a title, short and long description, benefits, technical table, FAQ and compatibility blocks. The copy cannot invent features: every claim must come from supplier data or an approved product source, while missing facts are flagged for an editor.

ES, EN, DE, FR, PL or other versions use a brand glossary, local units, search terminology and tone rules. The workflow covers descriptions, categories, attributes, filters, metadata, alt text, emails and interface labels; hreflang and links between language versions are validated separately.

Controlled templates create unique titles, meta descriptions, slugs, headings, alt text and internal links. Audits find duplication, thin pages, missing canonical or hreflang, broken links and products with no indexable content. Product, Offer and Breadcrumb schema plus crawl accessibility are checked during publishing.

Files are renamed, stripped of unnecessary metadata, cropped and converted to correctly sized WebP or AVIF; background, resolution, ratio, weight and duplicates are checked. AI may remove a background, improve the source or create an additional approved scene, but must not distort the product's shape, colour, included items or other material properties.

After automated checks and editorial approval where required, a product is created or updated in the store. Google Merchant Center, Meta catalogues, marketplaces and advertising feeds are then synchronised; disapprovals, missing GTINs and price or availability mismatches return as specific tasks.

Stock and cost prices synchronise on a schedule or event, with margin, rounding, currency and safety-stock rules applied. An unexpected change beyond a limit is not silently published: it creates an alert or approval request, and previous values remain available for audit.

A paid order reserves stock, creates a pick task or document, sends the required data to a warehouse or supplier and receives tracking. Customers get accurate updates, while stalled, partial, duplicate or risky orders are handed to staff with the context needed to decide.

The agent answers from actual order data, collects a return reason, checks the window and policy, and opens a request while escalating final decisions where required. Reviews and questions are grouped by product and topic to reveal wrong copy, defects, sizing problems and return causes.

Scheduled audits find products without images, translations, prices, GTINs, categories, alt text or SEO fields; orphan variants, inventory conflicts, 404s, redirect problems and orphan pages. The team receives a prioritised correction queue with owners, not a generic report.

Sales, margin, returns, acquisition source and site search are brought together. Replenishment, abandoned-cart, back-in-stock and post-purchase segments trigger only with valid consent, frequency limits and a measurable purpose rather than becoming endless messaging to every buyer.