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Case study Commerce / Product Listing
Sparkys

From a Week to a Day: 80% Less Effort on Product Listings

A leading Czech toy retailer replaced manual product listing and copywriting with automated enrichment and AI-generated titles and descriptions — freeing the team to focus on growth.

80%

less listing effort

faster time-to-shelf

1 day

what used to take a week

The problem

Product listing was a full-week manual slog

Sparkys is one of the largest toy retailers in the Czech Republic, with a broad catalog constantly refreshed by new ranges from suppliers. Every new batch of products meant the same grind: download files, rewrite names and descriptions into the e-shop’s format, and publish.

The team’s product content pipeline leaned on shared Google Drive folders and spreadsheet gymnastics. There was no automation connecting supplier data to the store, so every SKU had to be cleaned, enriched, and listed by hand.

Key pain points:

  • Supplier product files delivered via Google Drive with no automation into the e-shop
  • Product titles and descriptions rewritten manually for every new SKU
  • Listing a new product range took the team up to a full week
  • Scaling the catalog meant adding more people to do the same repetitive work
  • No consistent tone or structure across product content

A new product range that should have been live in a day could take the team an entire week. Growth was possible, but only at the cost of more people doing more of the same manual work.

The solution

Automated listing with AI-enriched product content

Sparkys deployed Boost.space as the automation layer between incoming supplier data and the e-shop. Product files land in one place, get enriched automatically, and are ready to list without anyone rewriting a spreadsheet.

Supplier data ingestion

Raw supplier files captured and normalized into a single structured source, ready for enrichment and listing.

AI-generated titles & descriptions

OpenAI-powered enrichment writes consistent, on-brand product copy straight from supplier data.

Automated listing workflow

Enriched products flow into the e-shop automatically, so the team reviews and publishes instead of rewriting.

Scales without new headcount

More suppliers, more SKUs, more ranges — same team, same week, much more output.

OpenAI-powered enrichment generates consistent, on-brand product titles and descriptions straight from raw supplier data. The team reviews and publishes instead of writing from scratch, and the workflow scales with the catalog rather than the headcount.

The results

A week of work, done in a day

80% less effort

Manual product listing workload cut by an estimated 80% across the team

5× faster to shelf

A new range goes live in a single day instead of taking a full working week

Consistent content

AI enrichment produces titles and descriptions in a unified, on-brand tone across the catalog

Team focused on growth

Hours freed from repetitive work now go into merchandising, ranges, and customer experience

“We were looking for a way to make our product content workflow more efficient, and this solution fit perfectly. Automated enrichment of product names and descriptions saves us precious time — time we can now invest in growing the business instead of rewriting spreadsheets.”

Martin Koliandr

Martin Koliandr

E-shop Manager at Sparkys

The difference at a glance

Supplier files sat in Google Drive, handled manually

Supplier data flows in automatically, ready to enrich

Titles and descriptions rewritten by hand for every SKU

AI-generated titles and descriptions from raw supplier data

A new product range took a full week to list

A new range is live in a single day

Inconsistent tone and structure across listings

Unified, on-brand copy across the catalog

Scaling the catalog required more people

Same team handles more suppliers and more SKUs

Explore the use case

Supplier catalog automation

See how Boost.space turns messy supplier files into ready-to-list, AI-enriched product content — the same pattern Sparkys uses to cut listing time by 80%.

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