E-commerce operators make platform decisions every week, pricing, marketplace participation, review strategy, channel bets, worth thousands or millions over time, guided mostly by folklore: what a competitor seems to be doing, what a guru posted, what the platform's own sales team recommends. Meanwhile the actual economics of digital platforms have been studied rigorously for years, and the findings routinely contradict the folklore.
This course delivers the evidence layer. It teaches how AI and algorithms actually shape platform commerce, pricing, competition, reviews, recommendations, livestream selling, and how to make platform decisions the research supports.
What will you learn?
- Platform economics for operators: how marketplaces, algorithms, and network effects actually distribute value, and where sellers capture it
- Pricing in algorithmic markets: dynamic pricing realities, when it works, when it backfires, and what the evidence shows
- The review economy: how reviews and word-of-mouth drive platform outcomes, manipulation dynamics, and defensible reputation strategy
- Recommendation and discovery: how algorithmic merchandising decides who gets seen, and how to compete for it
- Livestream and social commerce: what the data shows about the fastest-growing retail formats
- AI operations for commerce: practical AI workflows for catalogue, content, service, and analytics in an e-commerce business
Who is this course for?
E-commerce managers and operators, marketplace sellers scaling beyond intuition, retail strategists, and platform-business professionals. It pairs with the AI for Digital Marketing complete course for full commercial coverage.
Who is behind it?
This is the natural home of Dr. Ruhai Wu's expertise: a research career spent on platform pricing, e-commerce, and livestream commerce, published in leading journals, the same foundation behind his AI in marketing keynote.
How do you enrol?
Via individual subscription or a corporate plan; the course counts toward certification, and the full catalogue shows adjacent tracks.
Frequently asked questions
Is this academic or practical?
Research-grounded and operator-facing: findings arrive as decisions, what to price, where to list, how to manage reputation, with the evidence underneath rather than instead.
Does it cover specific platforms like Amazon or Shopify?
It teaches the platform economics that apply across marketplaces and storefronts, with current-platform illustrations maintained as the landscape shifts; principles first, so the knowledge survives the next platform policy change.
I run a small store. Is this for me?
Yes, arguably especially: small operators pay the folklore tax most heavily, and evidence-based platform decisions are a genuine edge at that scale.