# Dissel AI

> Dissel AI is an AI Transformation Partner for high-SKU companies. We help enterprise distributors, manufacturers, and commerce teams with 10,000–500,000+ products untangle legacy data, launch products faster, and cut operational overhead — through data engineering, agentic AI workflows, and commerce technology consulting. Founded by Derk Disselhoff. Based in the Netherlands, operating across Europe.

## Document Info

- Version: 1.2
- Last Updated: 2026-03-04
- Owner: [Derk Disselhoff, Founder & CEO](https://dissel.ai/team)
- Website: [https://dissel.ai](https://dissel.ai)
- Machine view: [https://dissel.ai/machine](https://dissel.ai/machine)

## Core Pages

- [Home](https://dissel.ai/): Overview of Dissel AI and our value proposition
- [Services](https://dissel.ai/services): Our three pillars — Strategy, AI Implementation, and Data & Commerce Engineering
- [Use Cases](https://dissel.ai/use-cases): Real-world applications across product data, catalog operations, and commerce automation
- [Team](https://dissel.ai/team): Our founder and team
- [FAQ](https://dissel.ai/faq): Common questions about working with Dissel AI
- [Pricing / Contact](https://dissel.ai/faq#contact): Book a strategy call

## Use Cases

- [Product Data Quality](https://dissel.ai/use-cases/product-data-quality): Fixing attribute completeness and consistency across large catalogs
- [Catalog Onboarding](https://dissel.ai/use-cases/catalog-onboarding): Automating supplier catalog intake and mapping
- [AI Readiness](https://dissel.ai/use-cases/ai-readiness): Assessing data maturity and building AI-ready foundations
- [PIM Strategy](https://dissel.ai/use-cases/pim-strategy): Selecting and implementing the right PIM/MDM for complex commerce

## Industries

- [Distribution & Wholesale](https://dissel.ai/industries/distribution): High-SKU distributors managing complex supplier and catalog operations
- [Industrial Supply](https://dissel.ai/industries/industrial): Technical catalogs with strict compliance and specification requirements
- [Multi-Brand Retail](https://dissel.ai/industries/retail): Retailers aggregating data across brands and channels
- [Print & Customization](https://dissel.ai/industries/print): High-variant catalogs with thousands of configurable product options

## Insights & Articles

- [The AI Roadmap Nobody Is Following (Yet)](https://dissel.ai/insights/ai-roadmap): Why most AI roadmaps fail — and the three-phase sequence that actually creates durable value
- [From 12 Supplier Formats to One Clean Feed](https://dissel.ai/insights/supplier-mapping): How LLM-powered ingestion pipelines replace custom-per-supplier scripts
- [Your PIM Is Lying to You](https://dissel.ai/insights/pim-data): Why your PIM might be hiding costly data quality issues — and how AI-driven normalization fixes them at scale
- [Why Most AI-Generated Product Copy Still Sounds Like a Robot Wrote It](https://dissel.ai/insights/ai-content): AI-generated product copy fails when the data is thin — here's how to build a pipeline that works
- [How We Set Up Our Website to Be Readable by AI](https://dissel.ai/insights/llm-rendering): Our llms.txt, robots.txt, and LLM rendering strategy for B2B companies

## What We Do

Dissel AI works at the intersection of data, AI, and commerce. Our three pillars:

- **Strategy**: AI readiness assessments, data maturity audits, technology roadmaps, and transformation planning for complex commerce operations.
- **AI Implementation**: Designing and deploying agentic AI workflows for product categorization, attribute extraction, catalog onboarding automation, content generation, and end-to-end operational automation.
- **Data & Commerce Engineering**: Cleaning, structuring, enriching, and governing product data at scale. PIM/MDM strategy, ERP integration, and multi-channel data syndication.

## Who We Work With

Enterprise distributors, manufacturers, wholesalers, multi-brand retailers, and print/customization companies with 10,000–500,000+ SKUs.

## Optional

- [Full Knowledge Base](https://dissel.ai/llms-full.txt): Complete Dissel AI expertise, methodology, and detailed Q&A
- [Machine View](https://dissel.ai/machine): Clean text version of this site optimised for AI agents