Agentic PXM Platform
Fegmo uses AI agents to turn fragmented, incomplete product data and media into accurate, commerce-ready listings in minutes. It brings together PIM, DAM, enrichment, media generation, validation, and syndication so you launch faster and lower content production costs.
Our Customers
The Problem
Incomplete Product Content Costs You Sales and Slows Growth
Fragmented and incomplete product data and media make products harder to discover and evaluate. Manual handoffs delay launches, raise content costs, and leave inconsistent information across channels. AI shopping adds another requirement: product information must also be structured and accessible enough for machines to understand.
Slow product launches
Supplier onboarding, enrichment, and media production can take weeks. Delays keep products off the digital shelf and shorten the time available to sell them.
Expensive manual work
Catalog teams spend time cleaning supplier files, creating content, checking images, and reformatting listings across systems and channels.
Missed discovery and conversion
Missing attributes, weak imagery, and unclear product relationships make it harder for shoppers and AI agents to find, compare, and choose your products.
System of TRUTH
Canonical Catalog Data
Accepts unstructured inputs (spreadsheets, supplier feeds, PDFs, aisle photos) and builds a clean, machine-readable catalog foundation.
System of ACTION
Autonomous AI Agents
Deploys specialized agents to extract 100+ attributes per SKU, generate studio-grade media, validate compliance, and syndicate listings automatically.
System of WISDOM
Closed-Loop Optimization
Analyzes conversion signals, attribute completeness scores, and performance feedback to optimize listings dynamically.
Help AI Shopping Agents Understand and Recommend Your Products
Agentic Commerce Optimization, built into your catalog workflows.
Shoppers use AI assistants such as ChatGPT, Gemini, and Perplexity to find and compare products. Missing attributes, unclear variants, and inconsistent descriptions can make your assortment harder to interpret and match to what shoppers need.
Fegmo enriches and validates product information, prepares machine-readable content, and makes governed catalog intelligence available through supported feeds, APIs, and Model Context Protocol (MCP) [VERIFY MCP is live]. Your catalog can have an agent that responds to buyer-side agents with product information in near real time.
Enrich product understanding
Improve attributes, descriptions, media, and product relationships so products are easier to find and compare.
Maintain accuracy and control
Validate content against source information, brand requirements, and channel rules, with human review where needed.
Connect with AI shopping agents
Make governed product intelligence available through supported feeds, APIs, and MCP [VERIFY MCP is live] for discovery and comparison.
Enterprise Agent Modules Built for AI Commerce Discovery
Ingestion Agent | Unstructured Catalog Ingestion Software
Automates raw vendor data ingestion from Excel, PDFs, GDSN, and photos into a canonical schema without requiring supplier format changes.
Ingest product data from any source, including raw Excel files, PDFs, GDSN registries, or mobile aisle captures. Onboarding agents normalize incoming data to your exact canonical schema without forcing suppliers to change their existing file formats.
Image Agent | E-commerce AI Lifestyle Image Generator
Generates studio-grade lifestyle photography and colorway variants dynamically from minimal base images.
Eliminate agency photography retainers and studio bottlenecks. Fegmo’s Image Agents generate pixel-consistent lifestyle imagery and colorway variants across thousands of SKUs from two base photos in minutes.
Brand Compliance Agent | Automated Catalog Listing Compliance
Ensures 100% catalog regulatory and brand alignment through Explainable AI (XAI) verification.
Maintain 100% brand compliance and regulatory accuracy. Fegmo pairs every AI recommendation with Explainable AI (XAI) confidence scores and source citations, giving operators single-click approval control without manual data entry.
Answer Engine Syndication Agent | GEO & AI Search Optimization
Formats and syndicates catalog data for traditional marketplaces and modern AI answer engines simultaneously.
Format, validate, and publish channel-ready product assets to Amazon, Walmart, Shopify, Instagram, and retail media networks. Simultaneously structure your data for immediate discovery by AI answer engines.
Measured P&L Impact Across Enterprise Scale
Primary Friction
Primary Friction
Agentic Solution
Business Outcome
The Save Mart Companies (Save Mart, Lucky, FoodMaxx)
Fresh and perimeter products change faster than conventional photography and content-production cycles, leaving items harder to discover and evaluate online.
Mobile App-to-Shelf ingestion with agentic catalog enrichment and merchant review.
17% increase in digital sales across products with Fegmo-enriched content.
$18B Marketplace (150M SKUs, 100K Sellers)
40% missing attributes; 11% incorrect data; manual seller review unscalable.
Main Image Selection Agent with Explainable AI (XAI) confidence scoring.
Conversion: Up to +40% lift potential | Efficiency: 43% schema expansion
$300M Activewear Portfolio (MultBanner Chain)
70% to 80% of colorways unvisualized; high agency photography retainers.
Context-Aware Variant AI generating 100% colorway coverage from base shots.
Cost: 80% lower creative expenses | Speed: Weeks to minutes.
Fast-Track Your Roadmap Without Technical Debt
Workflow-First
Targeted Agent Deployment
Platform Consolidation