Catalog Agents for Ecommerce
Palladio Ecommerce Agents turn messy product feeds into clean, verified data ready for marketplaces, PIMs, and internal systems.

Problems
Your Catalog Isn’t Agent-Ready.
Catalog Intelligence for Ecommerce

Attribute Gaps
Critical fields like material, dimensions, pack size, and technical specs are often missing or inconsistent.

Channel Misalignment
Amazon requires one schema. Walmart another. Flipkart another. One mismatch = listing rejection.

Poor Search & Conversion
Inconsistent attributes break filters, reduce discovery, and drop conversion rates.

Heavy Manual Work
Teams spend hours decoding vendor PDFs, reading image labels, and fixing duplicate SKUs.
Agents
Ecosystem of Agentic Commerce
Catalog Intelligence for Ecommerce
Taxonomy & Classification
Maps products to the right category tree, product type, and marketplace browse node. instant issue, and real-time tracking — built for modern teams.
Dynamic Attribute Extraction (Verified)
Pulls attributes from titles, descriptions, specsheets, images, and PDFs—then validates each through curated evaluation sets.
Channel-Ready Packaging
Transforms enriched data into Amazon, Flipkart, Walmart, and Google-compatible formats.
Pricing Agent
Inconsistent attributes break filters, reduce discovery, and drop conversion rates.
Compliance Agent
Inconsistent attributes break filters, reduce discovery, and drop conversion rates.
Merging Agent
Inconsistent attributes break filters, reduce discovery, and drop conversion rates.
The agent plugs directly into your PIM, ERP, marketplace system, vendor onboarding flow, or internal product DB—zero workflow disruption.
Agents
Tangible Results
A domain-trained, verification-first micro-agent system that classifies SKUs, extracts attributes, ensures compliance, and outputs marketplace-ready catalogs.

Faster enrichment
Reduction in channel errors
SEO & discoverability
Clients
Clients & Impact
A domain-trained, verification-first micro-agent system that classifies SKUs, extracts attributes, ensures compliance, and outputs marketplace-ready catalogs.
Catalog Intelligence for the HVAC industry
Brand clustering, product dedupe, taxonomy mapping
Towards no Annotators Across 80+ Languages
product data across 1,000+ categories, significantly reducing manual tagging.
Steps
How It Works

Step 1
Ingest Data
Vendor sheets, PDFs, images, PIM exports, marketplace feeds.
Step 2
Normalize Entities
Brand, model, variant normalization removes noise.


Step 3
Attribute Extraction
Pull specs from all sources (text, tables, visuals).
Step 4
Scoring & Verification
Every attribute is validated against curated evaluation sets.


Step 3
Attribute Extraction
Pull specs from all sources (text, tables, visuals).
Step 6
Monitoring & Drift Detection
Alert on unexpected schema changes or value drift.

Results
Usecase
A domain-trained, verification-first micro-agent system that classifies SKUs, extracts attributes, ensures compliance, and outputs marketplace-ready catalogs.

Merchandising Teams
Onboard SKUs 10× faster with verified completeness.

Engineering Teams
Stable APIs, strong typing, predictable outputs.

Marketplace Ops
Reduce listing rejections and duplicate SKUs.

Compliance Teams
Hazmat, battery, materials, and age-restricted checks built-in.
Supports Amazon Seller Central, Walmart Seller Center, Flipkart Seller Hub, Google Merchant Center, Shopify metafields, and custom PIM/ERP integrations.

Make Every SKU Agent-Ready — Clean, Verified, Channel-Aligned.
POC in 7 days. Low lift. Evaluation-verified outputs.