Automating a product catalog—with accurate categories, descriptions, and potentially even attributes—using Agentic AI

Managing a product catalog, especially one with hundreds or thousands of Stock Keeping Unit’s takes a considerable amount of time for any retail or e-commerce business. From categorization to consistent SEO optimized writing, colour, size, material and compatibility assignments, manual cataloguing is an extremely time-consuming and error-prone process. 

With the advent of Agentic AI, a new wave of intelligent systems that could both create content and make decisions and do tasks autonomously, catalog automation has entered a new era. These AI agents can ingest product data, pull up documents to support their positions, apply logic, and do updates on their own with limited human interference.  

Let’s find out how Agentic AI can shorten the process of creating and managing catalogs, thereby increasing its accuracy and decreasing time-to-market. 

What Is Agentic AI? 

In contrast to conventional AI models tuned on pre-cooked predictions, Agentic AI can work completely autonomously in various predefined parameters. This includes decision-making capabilities, multi-step workflow automations, and interactions with databases and APIs. 

In catalog automation, this could be AI agent that: 

• Rewrites raw product data from the internal systems 
• Takes reference from a knowledge base like brand style guide or taxonomy rules 
• Generates SEO-ready product descriptions 
• Tags the correct categorization 
• Populates the attributes with data available 
• Populates the final output into a PIM system or CMS 

The shift from rule-based scripting and template-driven automation toward context-aware AI agents is leading to great increase detail.   

The main benefits of analysing your product catalog with Agentic AI are:

Faster Time-to-Publish

The development lead time for product listings reduces from days to minutes when you employ Agentic AI. The AI starts enriching and classifies the data that is available, and without waiting for any manual intervention.

Uniformity in Product Descriptions

A well-trained AI agent can follow a brand’s tone of voice, format, and structure guidelines consistently across thousands of listings, thus ensuring uniformity across marketplaces and channels. 

Accurate and Dynamic Categorization

Different from conventional rules or human tagging, AI agents can dynamically analyse what features of the items are necessary for classification, compare those with taxonomy standards, and assign categories to products in question in case of brand-new or hybrid product types. 

Multi- language support

Agentic AI can give producing quality descriptions for its own users in the user’s favourite language without necessitating employing several writers as an additional expense to business. 

Scalability

Once completely trained and in-house, these models can take on larger updates, naming-wise across 5,000 SKUs, or updating double the regulatory text for all products in a single category without difficulty.