What’s the best way for ecommerce startups to decide which AI tools are worth using?
Start with one AI tool, like ChatGPT or Claude, and learn how to prompt and connect it to workflows. All major models are similar, so mastering one is enough to avoid distractions.
For smaller ecommerce teams, the best way to pick AI tools is to start simple and focus on one model first. Learn the basics—what agents are, how prompting works, and what AI is capable of. Then choose a popular base model such as ChatGPT, Claude, or Gemini. They all perform within a few percentage points of each other, so the specific choice doesn’t matter.
Once you’re familiar with one, integrate it into your workflows via APIs or no-code tools like Make or n8n. By going deep with a single tool instead of chasing the “AI tool of the week,” you’ll save time, avoid distractions, and actually build working processes. Then start evaluating the ROI you have from using the tool(s), measure the time saving with before and after analysis.
There are over 10000 AI tools launched in the past year. This is why chasing the shiny object is a mission impossible and just hurts teams. Simply because constant switching wastes time and prevents mastery.
Some Example Use Cases for Ecommerce Teams
- Automating product description writing.
- Generating ad copy variations for A/B testing.
- Summarizing customer support tickets.
- Analyzing review sentiment.
Related questions
What is the first AI workflow every ecommerce brand should automate?
