Build a pricing view across 50 skincare competitors.
current skincare competitor pricing across 50 brands with variant matching and source links
- Current direct-site prices
- Variant and promotion separation
- Monthly refresh with change log
Compare equivalent products with current evidence
The request starts as “current skincare competitor pricing across 50 brands with variant matching and source links.” Darwin preserves the details that determine whether a result is genuinely eligible.
Screenshots and spreadsheets go stale and mix list price, promotions, bundles, and mismatched variants.
- Translate the goal into three non-negotiables: Current direct-site prices; Variant and promotion separation; Monthly refresh with change log.
- Compare three complete options on fit, evidence, timing, and $15,000 for the first quarter.
- Separate list price from promotions and show which two brands still lack official evidence.
The shortlist makes both the leading path and the remaining uncertainty explicit before any commitment.
Maintain a reviewable pricing view
Act turns the selected path into a scoped workflow with a budget of $15,000 for the first quarter and a deadline of Initial view in three weeks.
The work is not complete when it is booked or paid. It is complete only when this test passes: Fifty brand records or explicit coverage gaps, source links, variant mapping, and repeatable monthly diff.
- Catalog mapping — 1,340 products normalized.
- Evidence review — 48 brands verified; two awaiting official pages.
- Monthly release — Publishes after unresolved mappings are excluded.
Exception rule: A promotion never overwrites base price; it receives its own dates and source. Final acceptance: Fifty brand records or explicit coverage gaps, source links, variant mapping, and repeatable monthly diff.
Host the dataset with lineage and refresh rules
Competitive intelligence desk can publish a sourced skincare pricing dataset with matched variants and dated refreshes in a form Darwin Search can qualify against a real request.
A public profile is not enough: visibility, permissions, sources, live readiness, and operating limits must remain explicit.
- Ground the AI in Source ledger.csv, Product taxonomy.json, Refresh policy.md.
- Apply this visibility boundary: Private business dataset.
- Enforce the request-time permission rule: Workspace-only access; no source credentials exposed.
The offer becomes discoverable without publishing credentials, private records, or unsupported claims.
Create an AI for Competitive intelligence desk.
Add approved evidence for a sourced skincare pricing dataset with matched variants and dated refreshes.