The company wants to lighten the busywork that surrounds buying things online. Product choices keep multiplying and the hunt often turns into a slog. Google thinks AI can take over the slower tasks so people can focus on what they actually want.
AI Mode leads the push. Instead of picking through filters or guessing which keywords might surface the right items, shoppers can describe what they need in plain language. The system listens, interprets the request, and uses the Shopping Graph to answer with current product data. A search for a winter moisturizer may show a simple comparison table. Someone asking for casual outfit ideas may get a line of shoppable images. The goal stays predictable. Cut the steps. Cut the friction. The Shopping Graph’s massive inventory keeps the responses fresh and broad.
These tools shift into the Gemini app as well. The app used to lean on short text hints. Now it handles real browsing. People sketch a gift idea or run through early holiday plans and Gemini surfaces product listings, prices gathered from across the web, and places to buy. It feels less like a chatbot and more like a planning bench. You ask, and it moves straight into options without dropping you into another service. The product information stays anchored to the same graph that powers search.
Another feature tackles local shopping. When people search for certain items near them, a Let Google Call button appears. A quick prompt sets the direction. The AI reaches out to nearby stores and checks stock, price, and any running promotions. Duplex handles the calls. Gemini models help choose which stores make sense. The shopper gets a summary by text or email. It bypasses the old cycle of dialing one store after another and waiting on hold. Now the system just returns the answers while you move on with your day.
Google also reshapes how people buy after tracking prices. Shoppers can pick an item, note the exact variation, and set the amount they are willing to spend. If the price dips into that range, Google sends an alert with a Buy for me option. Once the shopper confirms the payment method, address, and shipping details, the AI completes the purchase through the merchant’s site using Google Pay. The rollout begins with Wayfair, Chewy, Quince, and selected Shopify sellers. It aims at those moments when people hesitate for a sale and then lose the product when it goes out of stock. The agent keeps watch and steps in only when conditions match the request.
These pieces start to pull the shopping cycle together. People will still discover products through influencers or scroll through social feeds for ideas, though Google’s system often draws on insights from the wider web and folds them into its own responses. That means decision making, comparison, and buying can all happen inside Google’s ecosystem without the usual jumps between apps. It changes how shoppers explore. They stay inside search longer because everything they need shows up in one place.
Google positions these updates as a way to cut down on chores rather than control choices. The company wants AI to handle the heavy lifting while keeping the shopper in charge of every key step. With AI Mode, Gemini, agentic calling, and the new checkout system working together, Google edges closer to acting like a real shopping assistant that handles the dull parts while leaving the actual decisions to the person doing the buying.
Notes: This post was edited/created using GenAI tools.
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by Irfan Ahmad via Digital Information World
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