Tool demo · Pricing

Let demand set the price, not a competitor's floor.

Most repricing tools do one thing: watch a competitor and undercut them. For commodity inventory that's fine. For anything scarce or differentiated — limited sneakers, seasonal drops, one-of-a-kind stock — it's a race to the bottom that hands your margin to whoever's most desperate to sell. The better signal isn't the competition. It's your own sell-through.

Flat pricing leaves money on the table

Set a price once and one of two things happens. Either it's too high and the item sits, aging into a markdown — or it's too low and you sell out in a day at a price the market would have gladly beaten. A static price can't tell the difference between a size that's flying off the shelf and one nobody wants, because it never looks at what's actually selling. The information you need to price well is already in your own numbers; it's just not driving anything.

Price that climbs with sell-through

This repricer sets each variant a floor and a ceiling, then moves the price between them in tiers as stock sells through. Sell 20% of your baseline and it steps up a tier; sell 60% and it steps up further. The scarcer a variant gets, the more it's worth — so the price follows demand upward instead of sitting still. Sell out entirely and it locks at the ceiling, capturing the last units at top dollar. Restock and it eases back down. It's the pricing logic a good merchant applies by hand, run automatically across every SKU.

The yo-yo reset for stalled listings

Demand-based pricing has one failure mode: a listing that climbed on early hype and then went quiet, now stranded at a price nobody will pay. The yo-yo mode fixes that. If a variant hasn't sold in a week, it resets to its floor to re-spark interest, then begins climbing again as the sales come back. Prices breathe with demand instead of ratcheting themselves into a corner.

Below is the tool itself, running on a sample catalog — the same four screens an operator works in. Dashboardtracks units, revenue, orders, and AOV 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 individual 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 audit log of every move the engine has made and why, andSettings holds the presets and the global kill switch. Click through it — it's the real interface.

About the data below: this demo is branded West Coast Deals because that's the operation it was built for, but every figure in it is invented — a fixed sample catalogue, not live or historical trading data. The logic is the real thing; the numbers are not.

Dashboard

Overview of your repricing activity

ImportsBackfill Channels
Today
Sales154
Revenue$16,718.88
ASP$108.56
As of 7:32 AM

Total Units Sold

7 Days

1,177

Prev: 1,011

+16.4%

30 Days

5,021

Prev: 4,377

+14.7%

Total Revenue

7 Days

$127.8K

Prev: $109.9K

+16.3%

30 Days

$545.2K

Prev: $476.1K

+14.5%

Orders

7 Days

997

Prev: 857

+16.3%

30 Days

4,255

Prev: 3,709

+14.7%

Average Order Value

7 Days

$128.23

Prev: $128.24

-0.0%

30 Days

$128.13

Prev: $128.37

-0.2%

New Listings

7 Days

18

Prev: 5

+260.0%

30 Days

37

Prev: 70

-47.1%

Total Sales Over Time

30 Days
$0$6.4K$13K$19K$26K
Jun 29Jul 14Jul 28
Current 30DPrev 30D

Average Order Value Over Time

30 Days
$128.13-0.2%
$0$52$105$157

Inventory Breakdown

Active Rules129
Locked26
No Rule38

Channel Breakdown

30 Days
StockX26.3%$143,472.00
GOAT20.8%$113,154.00
Online Store15.4%$84,172.00
eBay14.0%$76,104.00
KicksCrew13.3%$72,644.00
SHEIN5.1%$28,035.00
TikTok5.1%$27,600.00

Top SKUs by Units Sold

30 Days

1

Nike Club Unstructured Cap

NIK-CLUBU-BLA-LXL

132 units

2

Hoka Clifton 9

HOK-CLIFT-BLA-008

118 units

3

Nike Dunk Low Retro

NIK-DUNKL-CHA-105

118 units

4

Jordan Air Jordan 1 Low

JOR-AIRJO-BRE-009

105 units

5

Adidas Ultraboost Light

ADI-ULTRA-COR-009

82 units

Top SKUs by ASP

30 Days · min 2 sales

1

The North Face 1996 Nuptse Jacket

THE-1996N-SUM-LXX

$315.00 ASP

2

Jordan Air Jordan 4 Retro

JOR-AIRJO-WHI-009

$226.00 ASP

3

Nike Air Max 90

NIK-AIRMA-INF-010

$160.00 ASP

4

Jordan Air Jordan 1 Low

JOR-AIRJO-BRE-008

$152.00 ASP

5

Adidas Ultraboost Light

ADI-ULTRA-CLO-009

$149.00 ASP

Recent Activity

Adidas Tiro Track Pants — XL

$39.00$43.25webhook_order

Jul 28, 2026, 6:39 AM

Adidas Ultraboost Light — 10

$125.75$138.50webhook_order

Jul 28, 2026, 7:56 PM

Nike Everyday Cushioned Crew Socks — L/XL

$26.75$29.00webhook_order

Jul 28, 2026, 8:49 PM

Puma Suede Classic XXI — 11

$67.00$74.25webhook_order

Jul 28, 2026, 7:45 PM

Jordan Air Jordan 1 Low — 10.5

$167.50$182.75webhook_order

Jul 27, 2026, 10:58 PM

Nike Air Force 1 '07 — 12

$97.00$107.75webhook_order

Jul 27, 2026, 6:35 AM

Adidas Gazelle Indoor — 10

$126.50$137.00webhook_order

Jul 26, 2026, 6:57 AM

Adidas Samba OG — 11.5

$87.00$96.75webhook_order

Jul 26, 2026, 10:18 AM

Guardrails that protect margin

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

Why not just track competitors?

Competitor tracking makes sense when you and ten other sellers list the identical item and the only lever is price. But it assumes someone else has already done the pricing for you — and it drags the whole market down every time the cheapest seller blinks. Pricing on your own sell-through respects what your inventory is actually worth to your buyers, protects the margin that funds your next order, and turns scarcity into revenue instead of giving it away. Competitor data can inform the floor and ceiling; it shouldn't be the whole strategy.

Put it on your own catalog

This demo is one build for one business. A pricing tool for you would encode your rules — your floors, your ceilings, how you want price to react to demand — not these. Tell me how you price today and I'll show you what it would take.

Tell me what you need built