98% match
Outerwear
ArcLight Rain Shell
$168
A lightweight waterproof shell with sealed seams and a packable hood.
Why it matches
Best match for wet commutes, light packing, and your under-$200 preference.
WaterproofPackableRecycled shell
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Retail and ecommerce on AWS
Turn your product catalog into a guided shopping conversation.
Give every shopper a brand-aware digital associate that understands intent, asks useful questions, recommends relevant products, explains the fit, and keeps approved store policies in view.
What the experience includes
From discovery to a confident shortlist.
Natural-language product search
Clarifying questions
Rich product recommendations
Cross-session preferences
Store policy answers
Guardrails and evaluations
Understand shopper intent
Turn natural-language requests, budgets, preferences, and follow-up answers into a structured shopping goal.
Ground every response
Retrieve current catalog, inventory, pricing, product attributes, and approved store policies before answering.
Recommend and explain
Rank relevant products, explain why they fit, and present clear cards that help the shopper compare options.
Measure and improve
Trace conversations, score recommendation quality, review failures, and test changes before release.
Interactive customer experience
Shop the way you would ask an expert.
Try a guided request, ask your own question, save products for comparison, and inspect the memory and response controls that support the conversation.
Northstar shopping assistant
Interactive simulation with representative catalog data
Catalog connected
Tell me what you are shopping for, your budget, and what matters most. I will search the catalog, explain the fit, and keep store policies in view.
I need a rain-ready commute setup under $200.
I prioritized waterproof protection, everyday portability, and your $200 limit. The shell is the strongest single-item match. The travel layer is a lower-cost option if you already own a waterproof outer layer.
91% match
Layers
RidgeKnit Travel Layer
$88
A breathable mid-layer designed for temperature changes from airport to trail.
Why it matches
Adds warmth without bulk and pairs with the shell for changing conditions.
BreathableEasy careLayering fit
Try a shopping request
Business value
Make product expertise available in every session.
Guided product discovery
Help shoppers move from an open-ended need to a useful shortlist through natural conversation.
More useful catalog data
Put product attributes, merchandising knowledge, inventory, and brand expertise to work in every session.
Consistent brand experience
Apply the retailer's tone, approved claims, policies, and escalation rules across conversations.
Controlled path to purchase
Keep the assistant inside approved actions while preserving human ownership of sensitive exceptions.
AWS implementation foundation
Connect to the commerce stack you already operate.
The assistant can sit above existing product information, search, inventory, profile, order, and policy systems. The architecture separates conversation from commerce actions so teams can control what the assistant may read, recommend, or change.
Review an implementation pathAmazon Bedrock
Model access, orchestration, and response generation
Amazon OpenSearch Service
Product and policy retrieval across catalog content
AWS Lambda and APIs
Catalog, inventory, profile, and commerce actions
Amazon DynamoDB
Consent-aware shopper preferences and session memory
Bedrock Guardrails
Content controls and brand-policy boundaries
CloudWatch and evaluations
Conversation tracing, quality checks, and operating metrics
Frequently asked questions
What retail teams ask before a pilot.
What does an agentic shopping assistant do?
It asks clarifying questions, retrieves relevant catalog and policy information, recommends products, explains the fit, remembers approved preferences, and helps a shopper move toward a purchase decision through conversation.
Can the assistant match a retailer's brand voice?
Yes. Brand language, product claims, policies, response patterns, and escalation rules can be configured and evaluated before a version is released.
How does the assistant avoid inventing product or policy details?
Responses are grounded in approved catalog, inventory, pricing, and policy sources. Guardrails, citations or source traces, automated evaluations, and human review can be applied according to the risk of the action.
Can this connect to an existing ecommerce platform?
Yes. The implementation can connect to existing product information, inventory, customer profile, order, search, and commerce APIs instead of requiring a catalog replacement.
Start with one catalog and one shopping journey
Turn this demo into a retailer-branded pilot.
Connect a focused product set, configure the brand and policy layer, test with real shopping questions, and define the quality gates required for launch.