Product Intelligence data, now in your AI assistant
A new MCP tool ranks your products by day, time of day, discount, season, and customer value. Ask your AI assistant which products to push, then take the list into your email, social, or ecommerce tools.

Product Intelligence now has its own tool in the Hello Retail MCP server. Ask your AI assistant which of your products to push, and when, and get a ranked answer based on how your products actually sell.
Why it matters
Picking products for a newsletter, a social post, or a promotion usually means guessing, or pulling a report nobody has time to read. Now you can ask the question in plain language and get a ranked product list back, complete with titles, prices, links, and images. That list is ready to use wherever you plan the campaign: your email marketing tool, your social posts, or a promotion on your ecommerce platform.
What you can ask
The tool ranks your products on one angle at a time:
- Day and time. Which products sell on a given weekday, at a given time of day, or both.
- Discounts. Which products sell best at a given discount level.
- Seasonality. Which products peak in a given month or season.
- Customer value. Which products bring the most lifetime value, or get bought again.
A few requests to try:
Which 10 products should I promote in my newsletter this Tuesday?
Which products are the best candidates for a 15% voucher on my website?
Build a promotion calendar for next week: The three best sellers for each day.
Good to know
This is a free beta, so the options may change as it develops. Products without enough purchase history are left out of the ranking. The assistant can also put the results to work in Pages, Recommendations, and Newsletter Content, and it asks before it changes anything.
All dimensions and settings are in the developer docs.
About Product Intelligence
Product Intelligence is the layer of Hello Retail that understands products. It learns from product attributes, relationships, and purchase patterns across 250+ million products, and combines that with behavioral data from each shopper's live activity. Read more about Product Intelligence.
