Operations note

Pricing software should be boring about your data.

CogniSpan reads aggregate order lines, never shopper identities. Everything it does to a price is logged, bounded and reversible.

Data handling

Order-line aggregates only. No shopper PII imported, ever.

Isolation

Per-tenant schemas with row-level security on every table.

Encryption

TLS 1.3 in transit, AES-256 at rest, keys rotated quarterly.

Access

SSO / SAML and scoped API tokens on Enterprise.

Compliance

SOC 2 Type II in progress, report available under NDA.

Reversibility

Every applied price versioned; full catalog rollback in one action.

Policy 01

MAP enforcement

Minimum advertised price is treated as a constraint on the optimizer, not a suggestion to the merchandiser.

Hard floor
Suggested price is clamped to max(MAP, landed cost × min-margin). No override flag exists.
Breach detection
A competitor selling below your MAP triggers an alert with screenshot evidence and timestamp.
No retaliation pricing
CogniSpan never cuts your price to match a MAP breach; it escalates to you instead.
Audit trail
Every suggested and applied price is stored with the inputs that produced it, for 36 months.
Service levels

What we commit to

Platform uptime99.9%Enterprise contractual; measured monthly
Scrape freshness< 60 minGrowth plan, per tracked competitor domain
Model refitNightly02:00 in your store's local timezone
Support first response4 hoursBusiness hours on Growth, 24/7 on Enterprise
Incident notification< 30 minStatus page plus email to admins
Data exportSelf-serveFull CSV of prices, elasticity and history
Supported systemsShopify PlusAmazon Seller CentralBigCommerceWooCommerceNetSuiteSlack
Appendix A

Common diligence questions

QDoes it work if some SKUs barely sell?

Yes. Thin-data SKUs borrow strength from their category through a hierarchical model, and the confidence score tells you exactly how much to trust each recommendation. Below 0.35 confidence we recommend holding price.

QDo you need customer data?

No PII. CogniSpan reads order-line aggregates only: SKU, date, price, units, cost. Nothing about individual shoppers is imported, stored or modelled.

QHow is MAP enforced?

MAP is a hard floor inside the optimizer. A suggested price can never fall below it. When a competitor breaches your MAP, we raise an alert with evidence rather than cutting your price to match.

QWhat if the model is wrong?

Nothing moves without your approval on Starter, and on Growth every automated move respects your floor, ceiling and ±7% daily cap. Every applied price is versioned and reversible in one click.

QHow long is onboarding?

About thirty minutes of work on your side, then one overnight model run. Most brands review their first suggestion set the next morning.

QHow long is data retained?

Rolling 36 months of price and demand history, exportable as CSV and deletable on request within 30 days.

QWhat happens after I join the waitlist?

We onboard in cohorts of 25. You receive a scheduling link and a sandbox project preloaded with a catalog shaped like yours so you can judge the output before connecting anything.

Join the waitlist