AI Is Changing Purchase Decisions and Redefining Supermarket Strategy

Grocery shopping is changing with the help of Google, and its impact is expected to extend beyond digital commerce into stores, logistics, and commercial real estate.

At its core, Google is integrating artificial intelligence tools into its search engine and Gemini to help people plan and complete their grocery shopping from home. By typing what is needed or indicating that the weekly shopping will be done, the assistant can build a list, compare prices across retailers, and suggest where it makes the most sense to buy, with the option to complete the purchase online or have it ready for pickup. To make this possible, the technology company is relying on partnerships with chains such as Walmart and with platforms like Shopify.

Although this is a strategy with global reach, its potential implications can already be analyzed in markets such as Mexico, where digital adoption, while still limited, is advancing rapidly.

Nationwide, online grocery purchases account for less than 5% of the market, but the channel is growing at annual rates of 25% to 30%, far outpacing traditional retail, and already generates more than $1.4 billion in revenue each year. That growth, combined with the fact that more than half of online grocery revenue comes from fresh food—the most operationally complex segment—suggests that the bottleneck in digital grocery shopping is not demand, but the incentives needed to reduce the shelf’s role as the central point of decision-making and turn the store into part of a more efficient omnichannel network.

In that context, competitive advantage no longer depends solely on having more stores or better locations, but on algorithmic relevance. For supermarkets, this means competing for digital visibility as well as physical traffic; for commercial real estate, it implies a revaluation of assets with logistics capabilities over formats designed primarily for display.

The shift also reshapes the sector’s cost structure and bargaining power. As purchase decisions are made before shoppers arrive at the store, supermarkets face higher operational demands—picking, preparation, and fulfillment—without a guaranteed increase in margins. Part of the value shifts toward digital intermediaries that control access to consumers, while the physical asset takes on additional functions without capturing a proportional share of that value.

This transition rests on an already installed physical base. Data from SiiLA Market Analytics show that in Mexico’s primary real estate markets across the central region, the Bajío, and the north, supermarkets operate close to 2.2 million square meters, of which 58% is industrial space and 42% retail. In other words, a substantial portion of the format is already designed for picking, preparation, and distribution, not just in-store sales.

As a result, rather than creating new infrastructure, AI tools accelerate the use of existing assets under a different logic, one in which the value of the supermarket—and the space it occupies—begins to diverge between those able to absorb operational complexity and those exposed to it.

For more information and insights on Mexico’s real estate market, visit SiiLA REsource or write to contacto@siila.com.mx.