Using the AI Product Research Agent
The AI Product Research Agent helps you evaluate product opportunities and organize information before adding products to your store.
It is designed to make research faster, but the final decision about what to sell remains yours.
What the Agent Can Help Research
The agent may help you examine:
- Product ideas
- Customer demand
- Competition
- Potential audiences
- Selling angles
- Seasonal relevance
- Pricing considerations
- Related products or collections
Reviewing a Product Recommendation
Before adding a recommended product, consider:
- Is it relevant to your store and audience?
- Can it be priced competitively?
- Are the supplier and product information reliable?
- Are shipping costs and delivery times acceptable?
- Is the product restricted or regulated?
- Could it create safety, trademark, or intellectual-property concerns?
- Is there enough potential margin after all expenses?
Product Research Is Not a Guarantee
A product recommendation does not guarantee demand, profit, or sales.
Market conditions, competition, advertising costs, supplier quality, pricing, and customer experience can all affect performance.
Test Before Scaling
When possible, begin with a limited product selection. Monitor traffic, customer interest, conversion activity, returns, and support questions before making a larger commitment.
Keep Your Store Focused
A smaller group of relevant products often creates a clearer customer experience than adding unrelated products simply because they are popular.
Related articles:
- Giving Your AI Agents Better Business Instructions
- Using the AI Insights and Reporting Agent