AI & Automation Case Study
Product data used to be retyped from supplier documents by hand. Today an agent processes supplier files, generates product data, updates WooCommerce and alerts the team.
Before and after, in numbers
Before
Every new supplier delivery arrived as PDFs, Excel sheets and spec documents in different formats. Someone on the team opened each file, extracted titles, descriptions, attributes, prices and images — and typed it all into WooCommerce by hand.
A single product could take half an hour of focused manual work. New collections waited days to go live, typos slipped into prices and attributes, and the catalog team spent its week on data entry instead of merchandising.
After
From supplier document to live WooCommerce product — with the team approving, not typing.
Step 1
The agent reads incoming supplier PDFs, Excel sheets and spec documents — in any layout — and extracts the structured product information.
Step 2
Titles, descriptions, attributes, categories and SEO metadata are generated in the store's format and tone of voice — consistently, in every language the store runs.
Step 3
Products, variants, prices and stock are created or updated directly in WooCommerce through its API — mapped to the right categories and attributes.
Step 4
The team gets a summary of everything the agent did, with anything uncertain — missing images, unusual prices, conflicting data — flagged for review.
Product onboarding is roughly three times faster: what used to take days from supplier file to live product now takes hours. Manual data entry dropped by about 90%, and with it the pricing and attribute typos that used to reach customers.
The catalog team saves 25+ hours a month and finally works on assortment, presentation and campaigns — while the agent handles the pipeline in the background.
Company
Services
Serbia
Bulevar despota Stefana 126
11000 Beograd
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