9DC2FF

9DC2FF

9DC2FF

Role

UX Design Intern

Team

Amazon Price Insights,

Cart & Checkout

Timeline

Summer 2026

Tools

Figma Design

Figma Make

Dscout

Bringing price insights to the moment customers decide

Customers see whether a price is good on Search and the Detail Page, then lose that context right before they buy. I designed how price insights show up in the mobile Cart, Checkout and Alexa for Shopping, for both everyday and high-consideration items.

0.1 Price insights disappear at Cart & Checkout

Customers save items to their cart over days or weeks. When they come back, prices have shifted, with no context on whether the change is good or bad. So they abandon the cart, or leave it to re-verify prices somewhere else.

On Search and the Detail Page, signals like “90-day low price” and “Typical price” build purchase confidence. Cart and Checkout offer no equivalent, leaving customers uncertain at the exact moment they need it most.

The goal

Bring price insights to Cart & Checkout so customers can make confident purchase decisions, for both low price and high price items.

0.2 Understanding the Current Shopping Journey

I started by auditing today’s shopping journey. Search and the Detail Page tell customers when a price is a 90-day low or higher than usual. In the Cart, those signals vanish: a customer has to open each item’s detail page to learn it’s a high price, and a price drop since they added the item goes completely unnoticed.

Two Types of Customers

The planner

makes decision in cart

The spontaneous buyer

decides in the moment

Search Page

Product Page

Cart Page

A week later

Revisits Cart

Leaves to compare

Cart Page

Checkout Page

“Wait… is $49 still a good price?”

Search

Search Page

Product

Product Page

Buys with doubt

“Hope I’m not overpaying…”

Price Signals Disappear at Cart

I walked through the flow a customer takes today. Search results and the Detail Page carry price signals, but once items are in the Cart those signals are gone. To check whether a price is still good, customers have to leave the cart and reopen each item, and a price drop since they added it is easy to miss entirely.

Leaving the cart to judge a price

Customers have to open the item’s detail page for price signals. They look for signals like “High price” or the typical price, then come back and repeat for every item.

Price changes that disappear

When prices drop or change, the cart shows a banner at the top. But once the customer opens it, the banner is gone, and nothing on the item itself shows what changed. By the time they scroll to the item, the context is lost.

0.3 Where should a price insight live?

I explored four placements for the insight within the cart item, weighing how much information each could hold against how much it would clutter an already dense page.

A · Message on image

Less cluttered next to item details, but customers might not tap the image to see more.

B · Under item information

More room to explain in an expansion box, but the insight feels disconnected from the price.

C · Modal or bottom sheet

Keeps item details clean, but customers can’t have multiple insights open at once.

D · Alexa half screen

Customers stay on the cart page, but the half-screen Alexa pattern is being deprecated.

0.4 What customers told us

I tested early concepts with customers to understand which language felt trustworthy, and how much interruption they’d accept on the way to checkout.

Objective language wins

Customers preferred “90-day low price” and “Price drop”. “Good price” felt subjective and ambiguous.

Inline first, Alexa on demand

Most preferred messages inline in the cart. Being sent straight to Alexa felt disruptive to customers in a hurry.

Transparency builds trust

Flagging a high price, alongside strong alternatives, made customers trust the insight more, not less.

0.5 A price insight for every kind of item

My vision for Cart & Checkout splits items by price and customer consideration, plus a third case for returning customers whose prices have moved since they added an item. Each needs a different depth of information.

Low price · Low consideration

Everyday items

e.g. paper towels. Customers want a quick reassurance that they’re getting a fair price, then want to move on. Insights should be light, glanceable and never slow down checkout.

High price · High consideration

Considered purchases

e.g. headphones. Customers are more likely to compare and hesitate. Insights should be transparent about a high price and offer a path to strong alternatives.

Price drop · Returning customer

Revisiting the cart

e.g. a camera added 10 days ago. The price has dropped since, but nothing in the cart says so. Insights should call out the savings and confirm it’s a good time to buy.

0.6 Landing on the price insight pill

For everyday items, the insight is a small pill that sits right beside the price. Details are layered, so customers only go deeper if they want to.

A · 90-day low price pill

An objective, glanceable signal inline with the item, following the language customers trusted most in testing.

B · Opened pill

Tapping reveals the price range and a link to price history, giving more detail without leaving the cart.

C · Price history in Alexa

Customers told us graphs signal price confidence. Opening Alexa takes enough intent that it doesn’t disrupt the shopping flow.

0.7 Honest about the price, helpful about the options

For considered purchases, I flag when a price is high or has gone up since the item was added, and give customers a clear next step instead of a dead end.

A · Price insight pill

Uses the same pattern as low price messages, so customers learn one system across the cart.

B · Opened pill

Shows the price increase since the item was added, a price history link and thumbnails of alternatives.

C · Alexa suggests alternatives

Alexa explains the recent price range and prompts customers to see lower priced alternatives.

Swapping alternatives without leaving the cart

Showing alternative images inline invites customers into Alexa to compare, continuing the shopping journey rather than ending it. Alexa ranks alternatives by quality, similar features and ratings, since that’s what customers prioritized in testing. They can ask follow-up questions, swap the item into their cart in one tap, and the cart updates with the new item’s price insight. Accidental swaps can be undone.

Treatment 2

Combine price graph and alternatives

I also explored a lighter version that follows the format of the low price messages: less information inline, just the high price flag and a price history link. One tap opens Alexa, where the price graph and alternatives are combined into a single view. It trades inline detail for a calmer cart, and is a direction to test against Treatment 1.

0.8 Catching a price drop when customers return

Customers who come back to their cart after days away have no way to see that a price has dropped. I flag the drop right on the item, so the savings are obvious without opening each detail page.

A · Price drop pill

The same pill pattern shows the amount the price dropped, alongside the typical price struck through.

B · Opened pill

Opening the pill shows how much the price dropped since the item was added, and whether it’s now a 30-day or 90-day low.

C · Price history in Alexa

Alexa explains the drop and the current price state, with the graph and follow-up prompts to compare similar items.

Price drop filter

Surfacing savings across the whole cart

For larger carts, I explored a “price drop” filter that brings dropped items to the top. If the cart shows the strike-through price and confirms the item is at its lowest price in 30 days, returning customers can feel confident it’s the right time to buy.

Carrying confidence through to “Place your order”

09 / Checkout

A · Current

B · Proposed

The final review page is the last chance to reassure a customer. In the proposed checkout, each item keeps its insight (“90-day low price”, “Typical” price, “Price drop”), so the confidence built in the cart isn’t lost a tap before purchase.

The insights reuse the same pills as the cart, so the page stays scannable and the system feels consistent end to end.

What I learned

10 / Reflection

Words carry weight

Small copy changes, like “90-day low” instead of “Good price”, decided whether customers trusted the insight at all.

Match depth to intent

Inline pills for everyone, Alexa for customers who want more. Respecting urgency kept the cart fast.

Honesty is a feature

Admitting a price is high felt risky, but paired with good alternatives it earned trust and kept customers shopping.

What’s next

Test Treatment 1 against Treatment 2 for high-price items, explore a more distinct colour for the swap button, and validate the undo flow for accidental swaps.