Translate scent notes and materials without promising a universal experience
A sensory-commerce playbook for comparing documented scent families, wax, vessel, burn guidance, and intensity while keeping preference subjective.
Transparency note: Stillroom Home, Nora, the catalog entries, and the scenario on this page are fictional. They demonstrate ShopDash product logic and do not represent a customer testimonial or measured result.
“Which candle is less sweet and more woody for a small study?”
Eleven candles list names and top notes but six omit scent family, intensity, room guidance, or wax material needed for comparison.
01 · RETRIEVE
Start with evidence the store actually owns.
ShopDash reads the authorized Shopify catalog and assembles the product facts relevant to the question. It does not treat an attractive description as evidence for a missing technical, compatibility, fit, care, or safety attribute.
| Product | Evidence found | Readiness signal |
|---|---|---|
| Cedar Ledger | Cedar, dry amber, low sweetness, medium intensity, soy-coconut wax | Strong documented match |
| Fig Parlour | Fig, vanilla, warm woods, medium-high intensity | Sweeter profile |
| Rain Study | Mineral and moss notes; intensity and wax absent | Needs material and intensity facts |
02 · REASON
Make the reasoning legible.
Structure sensory language
Scent family, notes, sweetness, intensity, wax, and room guidance become comparable without pretending scent is objective.
Use preference as a direction
The answer can rank a documented match while preserving variation in personal perception and room conditions.
Keep health boundaries explicit
ShopDash does not infer allergen safety or make individualized sensitivity claims from fragrance copy.
03 · ANSWER
Be useful without filling gaps with confidence.
“Cedar Ledger is the clearest less-sweet, woody option: the catalog lists cedar and dry amber, low sweetness, and medium intensity. Scent perception varies, and the catalog does not provide individualized allergy or sensitivity guidance.”
Grounded example · not shown to a live shopper04 · ACTIVATE CAREFULLY
Start read-only. Expand when the evidence earns it.
Scan, prioritize, test
- Catalog scan
- Attribute retrieval
- Preference comparison
- Agent Lab testing
- Read-only controls
Activate, learn, act
- Merchant-approved scent facts
- Storefront preference capture
- Recommendation attribution
- Approval workflows
THE SYSTEM BEHIND THE PLAYBOOK