AI Shopping Agent

AI that answers shoppers' questions all the way to checkout

Understands the requirements and context in a conversation to find and suggest the right products, then helps shoppers decide with comparisons and clear reasons.

AI Shopping Agent screen

What shoppers couldn't type into a search box

These are the sentences shoppers have in mind but can't turn into search terms. The AI Shopping Agent starts here.

It's my first time camping. What should I buy first?I'm planning a dinosaur-themed birthday party for my 8-year-oldPick something for a family of 4, under $500Which fall dresses are popular?Show me something lighter than thatWhich of these two is better?Do a lot of reviews say the Brand X robot vacuum is loud?What's on air at 10 today?It's my first time camping. What should I buy first?I'm planning a dinosaur-themed birthday party for my 8-year-oldPick something for a family of 4, under $500Which fall dresses are popular?Show me something lighter than thatWhich of these two is better?Do a lot of reviews say the Brand X robot vacuum is loud?What's on air at 10 today?

A search box alone struggles with complex questions

The more requirements and comparisons a purchase involves, the faster conversational guidance helps shoppers decide.

Conventional shopping: going back and forth across product pages

Shopping where shoppers find everything themselves

  • Shoppers who don't know what to buy get stuck at the search term
  • Shoppers compare requirements on their own
  • Product info is scattered across product pages, reviews, and broadcasts
  • The longer the search, the more shoppers drop off
A Plus AI Shopping Agent: a comparison laid out in one conversation

Shopping that helps by answering questions

  • Describe the situation and it suggests the categories needed
  • Picks candidates automatically and compares them on the same criteria
  • Scattered info becomes one answer, with sources
  • The next step is right there once shoppers decide

The right functions run depending on what was asked

It works without fixed scripts. For each question, it decides on its own which functions to use, and it remembers what was said before.

Intent detection

Shoppers describe the situation, no product names needed

From one sentence like "First camping trip this weekend, family of 4, $500 budget," it pulls out purpose, group size, budget, and constraints, then expands on its own to related categories the shopper had not thought of. Shoppers who could not even start because they did not know what to search for begin browsing with a single question.

Natural language requirement analysis screen

Reasons to buy

It explains why this product

Reads product info and reviews, plus broadcast scripts and text inside product page images, to give the reasons for each recommendation and what to watch out for. When the reasons are visible, shoppers head back to the search box to double-check less often.

An answer with the reasons behind the recommendation

Product comparison

Scattered options in one table

Picks 3 to 4 candidates worth comparing and builds a table with fields suited to the category to lay out the differences. Comparisons that took trips across several product pages wrap up on one screen.

Candidate comparison table

Next-step prompts

AI that starts the conversation before shoppers ask

Based on the product a shopper is viewing or items in their cart, the AI opens with a quick note. Questions shoppers would have let pass become the start of a conversation. (Optional add-on)

Proactive action agent screen

What an engine built for commerce makes possible

It started from commerce, with commerce knowledge at its core. That shapes where answers come from, how it's deployed, and how it runs after launch.

MULTIMODAL

Understands more than text

  • Reads product info, reviews, broadcast video, and product page images together
  • OCR on product pages and speech-to-text on broadcasts capture what the text leaves out
  • Built on 14 years of commerce data
GROUNDED

Answers only from real data

  • Finds evidence in the product database that fits the question, then answers (RAG)
  • Decides on its own which functions to call (search, compare, review summaries, video lookup)
  • Shows the products and reviews behind each answer
ZERO SETUP

No build costs, no scripted scenarios

  • Deploy as SaaS or API with no upfront build cost
  • Already tuned for ecommerce data, no scenario writing needed
  • Start through SDK integration without complex development
QUALITY MANAGED

Quality managed after go-live

  • Each model update is evaluated against the previous version on the same questions
  • Answer quality is scored and validated by win rate and score gap
  • Running at a major commerce company (B2C, 100,000+ MAU)

Frequently asked questions

Find answers to common questions before you get started.

AI that takes shopper questions as a conversation on your site, then finds and compares products. It understands questions that mix requirements, like "a lightweight chair for camping," suggests products actually on sale with the reasons behind them, and leads to the next step, such as a product page or an inquiry.

See it with your own products

Use your real data to see what changes before and after AI Shopping Agent.