Retail & consumer use case

Markdown and promo planning

The operating problem, the system we deploy, and the one metric it should move. Scoped as a specification, not a slogan.

The operating problem

Merchants decide markdowns on stale reports, cutting price too early on sellable stock or too late on stock that is already dead.

What we deploy

A planning assistant that reads current sell-through, inventory and margin and proposes markdown depth and promo timing by SKU cluster.

  • Reads current sell-through, inventory and margin
  • Proposes markdown depth and promo timing by SKU cluster
  • Shows the demand and stock signal behind each call
Outcome target
Target: 10 to 25% improvement in gross margin retained on clearance.
Time to value
8 to 12 weeks to production
Metric we measure
Margin dollars retained per unit cleared versus baseline.

Where it goes nextExtend to channel-specific pricing that reflects local sell-through.

Works with the systems you already have
Snowflake
Looker
Dynamics 365
Stripe

Your data remains under your control.

How every use case is scoped

The same four questions, every time

Every use case is scoped around the operating problem, the system, the metric, and the time to value. Nothing ships without a number to move and a source it can cite. The first step is the deployment review, where we map the business process to your systems and agree the metric before building.

Next step

Put a number on this use case

Bring the process. We will define the problem, the metric, and the route to production.

See the deployment review

Start a conversation

Tell us what you want to explore, deploy, or teach. We reply within two business days.