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A person in a pink shirt sits on a sofa, holding a smartphone and a credit card, suggesting online shopping. The setting is casual and relaxed.

Amazon Launches AI Tool “Help Me Decide” for Indecisive Shoppers

Amazon introduces “Help Me Decide,” a new AI shopping assistant designed to help indecisive U.S. consumers choose between similar products by analyzing their preferences.

New AI Tool Launch

Amazon has introduced a feature in the U.S. marketplace called “Help Me Decide”, designed to assist shoppers who are stuck between similar product options.

When a shopper is browsing comparable items, the “Help Me Decide” button appears atop the product detail page; tapping it triggers an analysis of the user’s browsing history, searches, and preferences to recommend the most suitable product.

How It Works

Upon invoking the tool, the system offers a recommended item, alongside two alternatives: an “upgrade pick” and a “budget option.” The explanation includes why that recommendation fits the shopper’s history, what features matter most and how it aligns with previous behaviour.

According to Amazon’s statement, “Help Me Decide continues to build on our commitment to use AI to improve the customer experience by creating tools that make shopping easier and more enjoyable.”

In addition to triggering during product browsing, the tool can also be accessed via the Amazon home page under “Keep shopping for,” giving shoppers another way into decision assistance.

Strategic Implications for Omnichannel Retail

For an omnichannel retailer of Amazon’s scale, the introduction of “Help Me Decide” signals a deeper push to reduce friction in the digital shopping journey — a cornerstone of omnichannel strategy. By leveraging AI to shape product choice rather than merely recommending “more like this,” Amazon is effectively augmenting the shopping experience with personalized guidance.

From a vendor and merchandise perspective, this also means product discoverability could shift: items that align with the shopper’s profile and system‐determined features may gain more visibility.

For local vendors and marketplace sellers, this presents both opportunity and risk: strong alignment with feature sets and historical behaviour could increase conversion, but also the pressure to optimise for AI‐driven recommendation signals becomes greater.

What to Watch

  • Data & Privacy: As this tool leans heavily on individual browsing and purchase patterns, how Amazon communicates and manages privacy will matter.
  • Vendor impact: Sellers will want to track how the new tool changes traffic patterns and conversion for “indecisive” shoppers.
  • Competitive dynamics: As Amazon enhances its AI‑driven shopping toolkit, other retailers and marketplaces will likely respond with their own differentiated features.

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