Flat pricing leaves money on the table

Set a price once and one of two things happens. Either it is too high and the item sits, aging into a markdown, or it is too low and it sells out in a day at a price the market would have beaten. A static price cannot tell a size that is flying from a size nobody wants, because it looks at nothing after the day it was set. The information you need is already in your own numbers. It is just driving nothing.

Price that climbs with sell-through

The repricer gives each variant a floor and a ceiling, then moves the price between them in tiers as stock sells through. Sell 20% of the baseline and it steps up a tier. Sell 60% and it steps up again. The scarcer a variant gets, the more it is worth, so the price follows demand upward. Sell out and it locks at the ceiling, so the last units go at top dollar. Restock and it eases back down. It is the pricing a good merchant applies by hand, run across every SKU.

The yo-yo reset for stalled listings

Demand-based pricing has one failure mode: a listing that climbed on early interest, then went quiet, stranded at a price nobody will pay. Yo-yo mode fixes that. If a variant has had no sale in a week, it resets to its floor to win back attention, then climbs again as the sales return.

The demo above is the tool itself on a sample catalog, the same four screens an operator works in. Dashboard tracks units, revenue, orders, and average order value against the prior period, with the channel mix and the SKUs carrying the month. Listings is where the work happens: every product expands into its sizes, each with its own floor, ceiling, and mode, editable inline and saved in a batch, or set across hundreds of sizes at once with bulk edit. Price History is the log of every move the engine made and why. Settings holds the presets and the global kill switch.

Guardrails that protect margin

Automated pricing is only safe with hard limits, and this engine has four:

• A margin floor. the price stays above a set multiple of landed cost, so a clearance push cannot sell into a loss.
• A ceiling. a premium cap that keeps automated increases from drifting to a price that kills conversion.
• An up-only ratchet. the demand tiers only raise the price. A cut is a deliberate action, so buyers have no drop to wait for.
• A sold-out lock. when stock hits zero the price holds at the ceiling, so the last unit and any restock start from strength.

Where competitor data belongs

Competitor tracking makes sense when you and ten other sellers list the identical item and the only lever is price. It assumes someone else has done the pricing for you, and it drags the market down every time the cheapest seller blinks. Pricing on your own sell-through respects what the inventory is worth to your buyers, protects the margin that funds the next order, and turns scarcity into revenue. Competitor data can inform the floor and the ceiling. The sell-through sets the price between them.