About Composable Commerce
Composable Commerce is a specialist advisory and toolkit practice for product data, supplier onboarding, marketplace operations, and practical AI and agentic commerce workflows.
It is led by Meg Donovan Christiansen, a commerce operator with 20+ years across retail, ecommerce, marketplaces, product data, vendor operations, platform strategy, and AI-enabled commerce.
Composable Commerce has deep category experience in home, furniture, décor, and lifestyle commerce, where product data complexity directly affects discovery, comparison, and conversion.
Based in Copenhagen, working with teams internationally.
Senior-led, supported by specialists
Each project is senior-led. When the scope requires deeper execution, we can bring in flexible support across product data, marketplace operations, AI workflow design, category work, and content operations.
Where we are most useful
- —Your team wants to use AI, but product data quality is inconsistent
- —Supplier onboarding is slowing down assortment growth
- —Marketplace or dropship expansion is creating operational questions
- —Product discovery, search, or filtering is underperforming because attributes are incomplete
- —You need senior commerce judgment, but not a full-time hire
Experience
- —20+ years across retail, ecommerce, marketplaces, product data, vendor operations, and platform strategy
- —Launched, scaled, and operated commerce programs across product-rich retail, dropship, and enterprise commerce environments
- —Senior leadership roles spanning merchandising, marketplace strategy, supplier onboarding, dropship operations, product data, and ecommerce platform growth
- —Hands-on experience building and improving workflows for supplier intake, product content, assortment expansion, marketplace operations, and AI-ready catalog data
- —Applied AI and agentic commerce experience across product discovery, product enrichment, supplier onboarding, and workflow automation
- —Advisory experience with SMB, growth-stage, and enterprise-level teams that need practical recommendations and operating support
How we work
- —Recommendations come from having launched, scaled, and run these workflows, not from a framework applied cold.
- —Diagnostic and advisory work should leave a team with a clear roadmap, decision framework, and next steps they can act on.
- —When teams need more than recommendations, we can help run the work: prioritizing fixes, coordinating vendors, improving workflows, and supporting execution.
- —Good AI and agentic commerce outcomes start with clean data, clear ownership, and practical operating processes, not just a new tool.
Not sure where to start?
Explore the services, or book a call to talk through your product data, vendor operations, or AI commerce plans.