SKULaunch

SKULaunch is an AI-powered platform that turns messy supplier files into structured, sales-ready product data for retailers and distributors. It can run upstream of a PIM or operate as the PIM itself, enabling teams to enrich and publish data across channels. The platform targets product data teams dealing with supplier onboarding, catalogue enrichment, and centralized asset management.

SKULaunch provides a process that starts with connecting sources, ingesting data, and generating structured attributes, then governance and publishing to downstream systems. It emphasizes human review where needed, with rules and governance built into the workflow. The approach aims to move data from scattered sources to a single, governed data flow.

The platform emphasizes multiple use cases, including supplier onboarding, catalogue enrichment, and PIM/DAM management. It highlights the goal of turning unstructured, incomplete data into complete records and enabling searchable, filterable catalogs across channels.

SKULaunch presents its platform as a pipeline with four stages: source onboarding, structure, enrichment, and publish.

Use cases

• Supplier onboarding with a guided submission route to structured records.
• Complete and improve thousands of products at once with AI enrichment.
• Centralise product information and assets and publish across channels.