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Apertia.ai
E-commerce

AI Agent forcollection catalog

Automatic processing of new collections. Product import, description generation, categorization - all within hours instead of weeks.

1000+
Products/day
95%
Time savings
SEO
Optimized texts
Multi
Language support
Problem

Manual catalog retyping = hours of lost work and errors

Each supplier sends a new collection in PDF. You have to manually retype marked products into Excel. It takes hours and mistakes are inevitable.

Manual retyping of marked products from supplier PDF catalogs
Time‑consuming processing of new collections (hours to days)
High error rate when retyping codes, prices, and sizes
Delays in launching new items to customers
Need to verify every retyped product
Inconsistent data structure across suppliers
Time lost that could be used for strategy

Slow product launches, pricing errors, overloaded purchasing teams, missed opportunities.

Solution

Computer‑vision AI agent for automatic catalog processing

The AI agent detects marked products in PDF catalogs, links them to text information, and creates structured Excel tables ready for further processing. The whole workflow runs automatically in minutes instead of hours.

Key features

Product import

Automatic loading of product data from various formats - Excel, CSV, XML, supplier APIs.

Description generation

AI creates unique, SEO-optimized product descriptions in Czech and other languages.

Categorization

Automatic product categorization and attribute assignment according to e-shop taxonomy.

Photo processing

Automatic product photo editing - resize, background removal, optimization.

Collection management

Overview of new collections and assortment changes with version history.

Multi‑format support

Processing of different PDF catalog formats from various suppliers.

How it works in practice

1

Upload PDF catalog

Upload the supplier PDF catalog with marked products.

2

Computer vision detection

AI automatically identifies all marked products in the catalog.

3

Information extraction

Extracts product codes, names, prices, size ranges, availability.

4

Data validation

Checks consistency and flags missing or unreadable values.

5

Structuring

Organizes data by categories (footwear, apparel, accessories).

6

Export to Excel

Generates a structured spreadsheet ready for system import.

Practical output example

Soubor:

Spring_collection_2026_Nike.pdf

Stran:

48

Zpracování:

2 minutes 15 seconds

Nalezeno:

47 marked products

Footwear

23 products
  • Running shoes: 12 pcs
  • Sneakers: 8 pcs
  • Sandals: 3 pcs

Apparel

18 products
  • T‑shirts: 8 pcs
  • Shorts: 5 pcs
  • Jackets: 5 pcs

Accessories

6 products
  • Caps: 3 pcs
  • Bags: 2 pcs
  • Socks: 1 pc
47/47
Product codes
47/47
Product names
47/47
Size ranges
45/47
Recommended prices
44/47
Availability

Requires manual review: 3 products

  • Product #23 - Unreadable price (blurred)
  • Product #31 - Missing size range
  • Product #42 - Unclear marking
Nike_Spring_collection_2026_47_products.xlsxReady for ERP/PIM importCategorized by structure

Excel output structure

Product codeNameCategorySizesPrice (CZK)AvailabilityNote
NKE-2026-RUN-001Nike Air Zoom Pegasus 40Footwear/Running38-463,499In stock-
NKE-2026-RUN-002Nike React Infinity RunFootwear/Running39-474,199On order-
NKE-2026-CLO-015Nike Dri‑FIT T‑shirtApparel/T‑shirtsS-XXL899In stock-
NKE-2026-ACC-042Nike Cap ProAccessories/CapsUniversal-In stockPrice unreadable

No more manual catalog retyping

A computer‑vision AI agent processes your PDF catalogs in minutes. Save 95% of time and eliminate retyping errors.

Get a demo

Who this AI Agent is ideal for

Wholesalers

Processing catalogs from dozens of suppliers with thousands of products.

Retail chains

Fast roll‑out of new collections across branches.

E‑shops

Updating assortments with new supplier products.

Catalog processors

Fashion, sports, electronics, home goods, and more.

Case study

Sports goods wholesaler · Sports equipment

Manual retyping of 50+ catalogs per year from different suppliers. Thousands of products had to be entered into the system by hand.

Deployment of a computer‑vision AI agent for automatic detection and extraction of marked products from PDF catalogs.

-95%
Time per catalog
From 8 hours to 25 minutes
-99%
Error rate
Almost zero errors
50+
Catalogs per year
Fully automated
3 weeks
ROI
Payback period
Previously, processing one catalog took a full day. Now it is done in half an hour without errors. The purchasing team can focus on strategy instead of retyping.

Head of Purchasing

Use cases

Fashion e‑shops

Processing seasonal collections of apparel and footwear from suppliers.

Wholesale

Importing new products from hundreds of suppliers.

Distributors

Managing brand portfolios and collections.

Purchasing departments

Faster decisions on new product purchases.

Category management

Overview of new arrivals and category trends.

Seasonal collections

Processing spring, autumn, and holiday collections.

Benefits

Eliminate manual retyping

100% automated PDF extraction

Dramatic time savings

95% reduction in processing time

High data accuracy

99% error‑free codes and prices

Ready‑to‑use outputs

Immediate use for purchasing teams

Fast launch of new items

Minutes instead of days

Consistent structure

Unified data from all suppliers

Quality validation

Automatic alerts for missing data

Collection overview

History of all processed catalogs

Integrations

Output formats

  • Excel (XLSX)
  • Google Sheets
  • CSV
  • JSON/XML

ERP systems

  • SAP
  • Microsoft Dynamics
  • ABRA Flexi
  • Pohoda
  • Custom ERP

PIM systems

  • Pimcore
  • Akeneo
  • Inriver
  • Custom PIM

E‑shop platforms

  • Shoptet
  • Shopify
  • WooCommerce
  • PrestaShop
  • Magento

Implementation overview

AI agent for catalog processing
Module
1–2 weeks
Implementation
Sample PDF catalogs
Data requirements
1 month
ROI

Implementation process

1

Catalog analysis

Mapping marking types and catalog structure

2

AI training

Teaching computer vision to recognize your specific marks

3

Template setup

Defining the output structure of Excel files

4

Testing

Pilot processing on real catalogs

5

Integration

Connection to ERP/PIM systems (optional)

6

Go live

Fully automated processing of new catalogs

How to start

1

Consultation

We analyze your catalogs and processes

2

AI training

We teach the system your marking types

3

Testing

Pilot run on real catalogs

4

Go live

Full automated operation

No more manual catalog retyping

A computer‑vision AI agent processes your PDF catalogs in minutes. Save 95% of time and eliminate retyping errors.

Frequently asked questions

What types of markings can the AI recognize?
Checkmarks, stars, circles, color marks, highlights – any visual product marking.
Does it work with our specific catalogs?
Yes, we train the AI on your specific catalog types and markings.
How accurate is recognition?
99% accuracy after training on your catalogs. Unreadable values are flagged for manual review.
How long does one catalog take?
Typically 2–5 minutes depending on catalog size (50–200 pages).
What if a catalog has 500+ products?
The system handles catalogs with thousands of products; processing time scales accordingly.
Can we customize the Excel output structure?
Yes, you can fully define which columns and in what order you want in Excel.
How long does implementation take?
Typically 1–2 weeks including training on your catalogs.
Does it work with catalogs in multiple languages?
Yes, we support Czech, Slovak, English, German, and more.
What is the ROI?
Typically 1 month thanks to a 95% time reduction in catalog processing.
What if the system fails to recognize something?
Unreadable or ambiguous items are automatically flagged for manual review.