For decades, the grocery trip started in pretty much the same place: somewhere near the refrigerator. There was usually a piece of paper held up by a magnet. Run out of milk, add milk. Use the last of the bread, add bread. By week’s end, you grabbed the list, collected your coupons and headed to the store.
The paper list eventually moved to our phones, coupons went digital and we started checking prices online. But the basic process remained the same. We decided what we needed, picked a store and went shopping.
I’m starting to wonder if AI is about to change that process. I recently realized it’s already changing mine. I never decided to become an “AI grocery shopper.” It simply became an easier way to solve some shopping problems.
I’m lactose intolerant, so finding certain products takes extra work. I also try to avoid ingredients including maltitol, sorbitol, erythritol, chicory root fiber and maltodextrin. Finding something labeled lactose-free doesn’t necessarily mean I’ve found something I want to buy.
Instead of bouncing between retailer websites and reading ingredient panels one at a time, I’ve started asking AI. I can ask it to find a lactose-free product without certain ingredients and tell me which stores carry it. Something that once required several searches suddenly takes minutes.
That’s when it hit me: AI isn’t just helping me shop the shelf. It’s starting to help build my grocery list. If it’s already doing that for me, how far away are we from AI becoming part of the weekly grocery trip?
From Refrigerator List to AI List
Imagine giving that old refrigerator list to an AI shopping assistant. Instead of writing “chicken, yogurt, cereal, pasta sauce,” you say: “Keep my groceries under $175. Give me five dinners. Make them high in protein. I need lactose-free options, avoid these ingredients and find the best value.”
Now the list isn’t simply recording what you need. It’s comparing products, checking ingredients and looking at prices. Suddenly, I’m not standing in an aisle comparing 14 pasta sauces. The algorithm is doing it for me.
Circana’s 2026/2027 Global Food and Beverage Outlook identifies increasing algorithmic influence as a force expected to shape consumers in 2027 and beyond. Research from Circana cited by FoodNavigator found AI use for product discovery and search increased from 9% of consumers in February to 13% by April and May. Among AI users, 52% compare products, 40% research products, 38% summarize reviews and 32% look for the best price.
Those numbers caught my attention because that’s essentially grocery shopping. We compare products, check ingredients, look at prices and decide whether a national brand is worth more than private label. Now AI can help make those decisions before we enter the store.
Getting Into the Answer
Think about pasta sauce. Maybe Rao’s is $8.99, Prego is $3.49 and private label is $2.29. Traditionally, those products battle through packaging, shelf position, promotions and brand recognition.
But what happens when I tell AI, “Find me the best value,” and it recommends one? I may never consider the others. The battle isn’t simply about getting onto the shelf anymore; it’s about getting into the answer.
For years, the industry focused on shelf optimization, followed by digital shelf optimization. The next conversation could be AI shelf optimization. Price, ingredients, nutrition, reviews, promotions and availability could all influence what AI recommends.
That’s potentially uncomfortable for established brands. An algorithm doesn’t have nostalgia for a brand that’s been around for 75 years. If I ask for a lactose-free product without five specific ingredients, it fits my needs or it doesn’t.
Which Retailer Gets the Trip?
There’s an even bigger issue for supermarket operators. AI may not simply influence which brand gets the sale. It could influence which retailer gets the entire trip.
That’s already happening with me. If AI tells me a supermarket has the lactose-free product I’m looking for, I may go there even if it isn’t where I normally shop. Once there, I’m probably buying more than that one item.
One AI recommendation could redirect a $100 or $150 grocery trip. Retailers have spent decades worrying about whether shoppers can find products once they’re inside the store. They may soon need to worry about whether AI can find those products before shoppers decide which store to visit.
We’re still early, and I’m not turning my entire grocery basket over to AI today. But I’ve already handed it part of a job that once belonged to that paper near the refrigerator. First, I used AI to find the store. Then I used it to find the product. Next comes comparing brands, prices and promotions.
For generations, grocery brands have fought to win at eye-level. The next battle may be AI-level. And the most valuable shelf position in grocery may eventually be one the shopper never sees.