Turn technical product data into a defensible gear recommendation
See how ShopDash separates documented rain protection from assumptions, then turns the missing facts into a ranked catalog fix.
Transparency note: Horizon Goods, Kenji, 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 shell works best for sustained rain?”
Seven products are missing material or waterproofing details that buyers need for comparison questions.
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 |
|---|---|---|
| Transit Shell | Three-layer construction, shell category, sizes, live inventory | Ready for rain questions |
| Summit Jacket | Insulation and sizes; waterproof rating absent | Disclose the gap |
| Cascade Bib | Shell material, reinforced knees, variants, live inventory | Ready for durability questions |
02 · REASON
Make the reasoning legible.
Retrieve before recommending
The answer begins with authorized Shopify product facts, not a generic model's memory.
Compare only supported attributes
Construction and insulation can be compared where evidence exists; the missing waterproof rating stays visible.
Turn uncertainty into work
The missing fact becomes a concrete catalog opportunity instead of being hidden inside confident copy.
03 · ANSWER
Be useful without filling gaps with confidence.
“For sustained rain, choose the Transit Shell. I can verify its three-layer construction. The Summit Jacket may be warmer, but its waterproof rating is missing, so I would not claim equivalent rain protection.”
Grounded example · not shown to a live shopper04 · ACTIVATE CAREFULLY
Start read-only. Expand when the evidence earns it.
Scan, prioritize, test
- Catalog scan
- Readiness scoring
- Ranked knowledge gaps
- Grounded Agent Lab
- Read-only controls
Activate, learn, act
- Storefront conversation capture
- Recommendation attribution
- Merchant-editable facts
- Approval workflows
THE SYSTEM BEHIND THE PLAYBOOK