Online Merchants

Online merchants already use a lot of automation for routine tasks. For example, industry data shows their core tasks include things like processing payments and emailing customers ^[1]. In practice, e-commerce platforms send order confirmations and calculate totals/taxes automatically, and payment systems are mostly automated (with AI layered on for fraud detection) ^[2].

Writing marketing copy and product descriptions is seeing growing AI support. About 25% of small businesses report using AI each week for marketing or content tasks ^[3]. Researchers note AI can help generate “intelligent” marketing content and even automate some decision-making ^[4].

In other words, tools like ChatGPT or Shopify’s AI helpers can draft product descriptions and suggest SEO-friendly subject lines, but merchants still review and tweak them. Tasks that need human judgment – such as deciding where to list products or how to price them – remain largely human-driven. Overall, simple routine work (sending emails, totaling orders) is already fully automated, while AI is increasingly augmenting creative tasks like writing content, with people still providing the final touch ^{[3] [2]}.

AI tools for e-commerce are available now, but uptake depends on costs, skills, and trust. Many platforms (Shopify, Wix, etc.) have built-in AI features, and free models like ChatGPT make content generation cheap ^[4]. In fact, sellers using AI more often tend to see better sales – a survey found businesses using AI weekly were more likely to report revenue growth ^[3].

However, small merchants face challenges. A recent survey found 23% of small businesses say they lack time to try new AI, and many worry about data privacy (42%) or whether AI’s suggestions are accurate (35%) ^[3]. Even PayPal cautions that AI chatbots have limits: its product lead warned “how much do we invest…when a human agent could do it better,” noting high development costs if AI overpromises ^[2].