Merchants: Would You Find Value In An App That Helps You Optimize Your Pricing?

Topic summary

Proposed AI-driven app to help Shopify merchants optimize pricing, inspired by dynamic pricing used by Amazon/Uber. The app would analyze multiple data sources (store analytics, competitor prices, historical price data, consumer trends, major events), suggest when and why to change prices, and learn from the merchant’s decisions over time.

Key questions posed to merchants:

  • How do you currently decide when it’s the right time to change prices?
  • Would you use a plugin that assists with data-driven price variation?

An image is included showing a toothbrush’s Amazon price history tracked by Keepa (an Amazon price-tracking tool), illustrating frequent price changes.

Feedback to date: One merchant says such a tool would be very valuable, noting existing pricing research tools are “decent” but very expensive.

Status: Early research/feedback stage. No decisions or implementations yet; discussion remains open.

Summarized with AI on January 26. AI used: gpt-5.

Hello :waving_hand: ,

I am doing some research for a project and I would really appreciate getting feedback from potential users. :slightly_smiling_face:

Just like the pure players do (Amazon, Uber, etc.), would you like to be able to easily make price variations based on data and AI?

Here is an example of a toothbrush price history sold on Amazon (tracked with Keepa):

As merchants, how do you cope with determining when it is the right time to change your prices?

Would you use a pricing variation plugin to help you decide?

This plugin would:

  • Analyze and learn from multiple sources of data (your analytics, your competitors’ prices, diverse price histories, consumer trends, dramatical events, etc.).
  • Suggest when and why you should change your prices.
  • Learn from your own decisions over time.

Thank you very much for your time.

:folded_hands: :sun:

I believe this would be a huge benefit to anyone that has a store. I have used some other pricing research that has been decent, but they are very expensive!