AI Economics for E-Commerce
E-commerce platforms face the unique challenge of managing massive product catalogs, complex integrations, and extreme traffic spikes — all while AI personalization adds variable cost to every interaction.
Platform Complexity
Catalog management, inventory sync, payment, and shipping APIs create integration debt that compounds with custom plugins.
AI Personalization Cost
Dynamic pricing and personalized search cost money per interaction. At scale, AI personalization COGS can erode margins.
Peak Traffic Debt
Peak events require 10-100x capacity that sits idle. Over-provisioning wastes budget; under-provisioning loses customer revenue.
Payment & Fraud
Payment compliance (PCI-DSS), multi-currency support, and fraud detection create security-driven technical debt with direct financial consequences.
How I Help E-Commerce Companies
- → Quantify platform integration debt and its impact on checkout conversion
- → Model AI personalization COGS to ensure recommendation features are margin-positive
- → Optimize peak traffic architecture to minimize idle infrastructure costs
- → Calculate the ROI of platform modernization vs continued patchwork maintenance
Need a sector-specific audit?
I run R&D capital audits tailored to your industry's cost structures, compliance requirements, and scaling patterns.
Richard Ewing — AI Economist & Capital Auditor