Product Recommendations
Recommends relevant products through conversation using the shopper's stated needs, cart, and current catalog.
Learn more about Product RecommendationsSales & Conversion
Personalized Assistance with BuyScout® AI Store Agent
Give each shopper relevant guidance from their browsing journey, current page, and cart context, with permitted recent order history when it is useful.
Install BuyScout® and test the skill with your own store data.
GDPR & AI Act compliant
5.0on
4.8on
4.8onWhat does Personalized Assistance do?
BuyScout® AI Store Agent automatically combines available browsing behavior, current page, and cart context to recommend a relevant next step. It can also use permitted recent order history when relevant, and the shopper can change direction at any time.
Where automatic personalization helps
BuyScout® can turn signals from the shopper's journey into a relevant starting point.
A returning shopper wants a starting point
BuyScout® uses recent browsing to suggest a relevant starting point. When the shopper confirms that recent-order context is relevant, BuyScout® can use that permitted order context too.
Several viewed products need narrowing
BuyScout® compares products the shopper explored and surfaces the option that best matches their interests, current page, and cart.
The shopper changes direction
When the shopper adds a budget, timing, fit, or compatibility need, BuyScout® updates its recommendation while preserving useful context.
How BuyScout® personalizes automatically
BuyScout® handles these steps automatically. Merchants do not need to configure this flow, though they can optionally add store-specific guidance in BuyScout® Dashboard.
Read the shopper's current context
BuyScout® automatically uses recent browsing, the current page, and cart context to find a relevant starting point without making the shopper repeat everything.
Connect context to store knowledge
BuyScout® automatically matches those signals with product details, availability, compatibility information, policies, and other relevant store content it can access.
Adapt as the shopper responds
BuyScout® updates its guidance when the shopper adds a preference or changes direction, asking only when a missing detail would change the answer.
A returning shopper gets a relevant starting point
SummitArc 3L Shell
$179Shopper:
I'm looking at the SummitArc 3L Shell. Would it work for a hiking trip?
BuyScout®: Checking hiking layers that complement the shell
BuyScout®:
SummitArc is a strong fit. Pair it with the TrailGrid Fleece for cool or wet hiking conditions; both pack light. I can also check how that combination works with your hiking gear.
TrailGrid Fleece
$69Add to cartShopper:
Yes, check it against the backpack from my last order.
BuyScout®: Checking the backpack from the recent order
BuyScout®:
It works well with your RidgeTrail 40 backpack. The SummitArc fits easily inside without taking much room, and the TrailGrid Fleece completes the insulating layer for colder stops.
OutcomeA simple product question becomes a recommendation tailored to the shopper's trip, products considered, and compatible gear.
Sources BuyScout® uses automatically
No manual configuration is required. BuyScout® combines live shopper context and current store information automatically, with recent order history when relevant and permitted.
Shopper journey and recent order history
BuyScout® automatically uses browsing behavior, the current page, and cart context to understand what may be relevant. BuyScout® can bring in permitted recent orders after the shopper confirms that the order context is relevant.
Current store and product information
BuyScout® automatically reads descriptions, variants, availability, specifications, policies, buying guides, FAQs, and other information across Shopify and the store. Merchants can add store-specific guidance in BuyScout® Dashboard.
Automatic adaptation and edge-case handling
BuyScout® turns available context into a relevant starting point, adapts when the shopper provides new direction, and notifies store support only in edge cases it cannot fulfill.
How Personalized Assistance works automatically
Personalized Assistance begins with shopper and store context already available to BuyScout®.
Recognize the shopper's journey
BuyScout® uses browsing behavior, current page, questions, and cart context automatically. It can also use permitted recent order history when relevant.
Connect it to store knowledge
BuyScout® reads the connected Shopify catalog, product pages, policy pages, FAQs, and other website content without requiring the merchant to copy that information elsewhere.
Personalize the next step
BuyScout® uses the strongest available signals to recommend a useful next step without requiring a detailed request.
Optionally refine and test
Merchants can add store-specific context or tailor the response style in BuyScout® Dashboard, then test representative shopper journeys. Neither is required for the skill to work.
Limits that keep personalization useful
BuyScout® reduces repetition while treating behavioral signals as context, not certainty.
- Context is not intent Permitted recent order history and browsing behavior can guide a relevant starting point, but they do not prove the shopper's current need, budget, or readiness to buy.
- Shopper input takes priority When the shopper states a new preference or contradicts an earlier signal, BuyScout® updates its guidance instead of defending the first recommendation.
- Edge cases reach store support BuyScout® handles ordinary clarification automatically and notifies the store's support team only in edge cases it cannot fulfill.
Frequently asked questions
BuyScout® automatically uses browsing behavior, current page, and cart context to choose a relevant starting point. When relevant and permitted, recent order history can add context. These signals guide the recommendation but do not prove intent; the shopper's words always take priority.
BuyScout® follows the conversation and updates its guidance as the shopper adds or changes preferences, priorities, or constraints, so the shopper does not need to start over.
BuyScout® uses permitted recent order history and browsing behavior as a starting point, then follows the shopper's stated need. BuyScout® can ask a short clarifying question when the difference would materially change the recommendation.
BuyScout® works automatically from current store information and shopper context. Merchants can optionally add store-specific guidance or tailor responses in BuyScout® Dashboard.
When recent order history is available and permitted, BuyScout® can connect previously purchased products with recent browsing after confirming that context is relevant.
Personalized Assistance combines current store information with browsing behavior, the shopper's question, current page, and cart context, plus permitted recent order history when relevant. BuyScout® can recommend a different next step for each shopper instead of returning one generic answer.
Install BuyScout® and test the skill with your own store data.
Proactive Engagement
Proactively starts a conversation when BuyScout® senses that a shopper may need help overcoming a purchase obstacle.
Learn more about Proactive EngagementBrand Q&A
Answers brand, policy, and values questions from content already published across the store, with optional merchant guidance.
Learn more about Brand Q&A