Amazon's Shopping Assistant Now Shows You the Full Price History

Amazon has added a new feature to its Rufus AI shopping assistant that lets you see the price of a product for the past year. The feature is available in the United States, UK, and India, according to the company's announcement. Rufus is a chatbot-style shopping tool that started rolling out to Amazon's mobile app users in February 2024.

When you're looking at a product, you'll find a link near the top of the page that shows you how the price has changed over the past twelve months. Amazon displays this information as a simple line graph so you can quickly see whether the current price is good or not. This addresses a real frustration many shoppers have: retailers sometimes raise prices before putting items on "sale," making the discount look bigger than it really is.

How Rufus Works

Rufus is powered by artificial intelligence trained on vast amounts of shopping data. It can answer questions you type or speak, look at photos of items you show it, or even read shopping lists you write by hand. Unlike a traditional search engine where you type in keywords, Rufus tries to understand what you actually want and help you find it.

The system has another useful trick: you can tell it the price you're willing to pay for something, and it will automatically buy the item for you when the price drops to that level. This turns Rufus from a tool that just shows you information into one that can actually make purchases on your behalf.

Rufus can find items sold directly by Amazon, but also products from other sellers on Amazon's marketplace.

Why Amazon Added This Feature

The price history tool helps you spot when retailers are being dishonest about discounts. It's a real problem in online shopping: stores will mark up the original price, then cut it back down and call it a "sale."

The broader thinking behind this move is interesting. Amazon is trying to stand out from other shopping tools and websites by being more honest and transparent about pricing. When you trust a tool to give you accurate information, you're more likely to use it—and to buy things through it. By showing price history, Amazon is building that trust while also potentially exposing third-party sellers who might be using aggressive pricing tricks.

There's another angle worth considering. When many shoppers set the same price target—say, a particular toy at $25—the system might suddenly see a big surge in demand when it hits that price. This could cause inventory to sell out very quickly, or it could help Amazon better predict when customers want to buy things.

How You Use It

All of this works right inside the Amazon app—no new downloads or complicated setup required. You can ask Rufus questions in plain language, or you can click on the price history link when you're looking at a product page.

The price charts show you major price swings with dates marked, so you can get a quick sense of whether you're looking at an unusually cheap price or an unusually expensive one.

If you want the automatic buying feature, you can set not just a target price but also how many items you want to buy and when you want the alert to stop. This gives you control over your spending.

The Technical Side

Building this system required Amazon to solve some tough engineering problems. Amazon sells hundreds of millions of different products, and keeping track of the price history for all of them requires a lot of computing power and data storage. The system also needs to store a full year's worth of price information, which is a lot of data to manage.

The automatic buying part is especially complex. When a price hits your target, the system has only seconds to confirm your payment method works, check that the item is actually in stock, and process the purchase without making mistakes or getting tricked by fraudsters.

Tracking prices from sellers who aren't part of Amazon directly is harder too. The system has to pull pricing information from many different sources, and sometimes that data might not be completely up-to-date.

The bigger pattern here is that AI assistants are shifting from just giving you information to actually making decisions and spending money on your behalf. As these tools get more power, they'll need strong safety features to keep you from accidentally spending too much or buying the wrong thing.

Why This Matters for Amazon

What Amazon has built is something that most AI tools can't easily copy. A general-purpose AI chatbot can talk about products in theory, but Rufus has direct access to real prices, how much stock is available right now, and the full history of what things have cost. It took Amazon years to build the computer systems that make this possible.

Amazon's strategy here follows a pattern we've seen before. Years ago, the company added customer reviews directly to product pages instead of sending shoppers elsewhere to read them. That kept people shopping on Amazon and made it easier to buy with confidence. The price history feature is the same idea: give people a reason to stay and shop on Amazon rather than going somewhere else to check prices.