Product recommendations grounded in your data.
Give shopping agents specifications, images, demonstrations and price and availability records to match real requirements and explain each recommendation.
For teams building shopping assistants and product recommendation agents.
Recommendation reasons and open requirements
- A: lighter, with side access.
- B: room for a larger laptop.
- To confirm: the laptop’s physical dimensions.
Compare products against the shopper’s actual needs.
A commuter needs a lightweight laptop backpack under ¥500. See how the laptop’s dimensions change the product comparison.
Less weight. Side access.
¥399690 gMore room. More compartments.
¥469980 gWhat are your laptop’s dimensions?
Choose a sample answer to see how the recommendation changes.
Both meet the budget. A is lighter; B has more space. Check fit before making a final recommendation.
Your shopping agent asks the missing question, explains the trade-off and passes the selected variant to the commerce system for current availability and checkout.
Match requirements to the right product variant.
Link the variant, dimensions, price, region and retrieval time, with evidence for claims such as lightweight or easy to access.
- 01
Commuting
Budget & laptop size
- 02
A-20 / B-24
Exact product variants
- 03
Fit & access
Specifications & structure
- 04
Current offer
Region, price, time
Check laptop fit against physical dimensions, and support access claims with the opening and compartment design.
Reuse product knowledge. Check current price and availability.
Reuse durable product knowledge across authorized requests while checking volatile business records separately.
How ongoing costs are reduced- 01
Reusable product knowledge
Reuse authorized specifications and understood product details for the right variant.
- 02
Compare against the current requirements
Inspect the image detail or product demonstration that answers the shopper’s question.
- 03
Current price and stock
Refresh price and stock from permitted sources. The commerce system verifies availability before checkout.
The findings this task needs, with source references. Read supporting details when needed; keep valid understanding available for the next authorized task.
Turn your catalog into context for shopping agents.
Supply the user’s explicit needs and permitted profile context. Connect product assets and the business sources for price and availability.
- 01
Product evidence
Specifications, imagery, demonstrations and relevant review passages.
- 02
Variant, pricing and availability definitions
Product families, variants, units, region, price and availability timestamps.
- 03
Shopping assistant Skills
Find evidence for each recommendation and distinguish product knowledge from current transaction records.
Validate the results on your tasks.
- Does the recommended variant meet the physical requirements?
- Can each recommendation reason be checked?
- Are price and availability current and in scope?
Review the findings, source references, handling steps and usage together with your team.
The task, known facts and constraints.
Relevant findings, conditions, references and unresolved gaps.
Your shopping agent clarifies key requirements, explains trade-offs and uses the commerce system to verify and complete the purchase.
Connect through MCP tools and a task-aware Skill. Let your business agent use the tools directly or delegate context preparation.
See the integration optionsSee it with your products and shopping questions.
Bring product images, specifications and real customer questions to see how your agent compares options, checks evidence and clarifies key requirements.