Top - Abplanalp

Abplanalp AI

1About

An AI-powered agent solution for fast and structured product data preparation

Abplanalp AI is a project based on AI agent technology designed to support teams and reduce repetitive, time-consuming manual work. The solution enables Abplanalp employees to process large amounts of unstructured product data from manufacturers and suppliers faster and in a more organized way.

It works with sources such as documents, spreadsheets, images, URLs, and ZIP files, and uses them to prepare structured product data for e-commerce listings. The system can create product descriptions, extract key attributes, and match product images, while relying only on the information provided by the user. As an internal tool, it was created to reduce manual work and speed up product data preparation from days to just a few minutes.

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Industry
Enterprise Software
Country
Poland
Partnership
4 months

2Challenge

One of the biggest challenges was handling large amounts of unstructured product data coming from many manufacturers. The files were delivered in different formats, including PDF, DOC, XLSX, JPG, and PNG, which made manual processing inefficient and time-consuming. Employees spent many hours completing product files by hand.The business goal was to reduce the time needed to prepare product listings from several days to just a few minutes while keeping high data quality. From the technical side, an additional challenge was finding the right balance between model performance and operating cost.

Abplanalp - Challenge

3Solution

To solve this problem, we built an AI agent that helps employees fill product data tables based on materials provided by machine and tool manufacturers. Users upload a CSV file with a list of SKUs together with supporting materials such as URLs, images, spreadsheets, documents, and ZIP files. The agent analyzes the available sources and automatically fills XLSX or CSV templates with product descriptions, extracted attributes, and matched product images.Because the agent relies only on the information provided by the user, the risk of hallucinations is reduced to a minimum. The solution also includes a task history view, where users can check task status, dates, sources, download output files, manage data retention, and review error logs. In addition, the system includes settings for managing prompts and configuring data extraction parameters.

Solution - Abplanalp

4Technologies

Fast API
Postgres
Redis
Langchain
Google Cloud
Docker
Celery
Pandas
Python
React

5Services

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