ShoePredictor turns your inventory into a live command center for shoe retail. AI demand prediction tells you which models to restock and which to clear, size-gap alerts catch the sold-out sizes customers keep asking for, and dead-stock detection flags slow movers before they tie up cash.
Then it goes further — automated marketing campaigns, athlete and team promoter tracking, wishlist-to-restock notifications, competitor price monitoring, and a full CRM with loyalty tiers — so every pair moves faster and every missed sale gets recaptured.
Live Store Pulse
Updated just now
$48.2K
+12% vs last week
74%
+8% vs last week
6
-31% vs last week
$1.4K
est. vs last week
These are the problems every sneaker retailer faces. Here's what ShoePredictor does about each one.
Ordering inventory based on gut instinct and last year's data
AI demand scores + real customer preference data before every order
Customers walk in, you don't have their size, they leave — forever
Auto-notify matched customers the moment their size lands in store
Marking down dead stock at a loss every quarter
31% reduction in dead inventory — order what actually sells
Manually texting "regulars" about new drops one by one
One-click Drop Blast emails every matched customer instantly
No idea which release will spike vs. flop
SPX Score™ + AI prediction on every release before it drops
Resellers undercutting you with better market intel
Real-time price tracking, hype scores, and sell-through rates
One manager. One button. Every matched customer notified — with their name, their size, and a reason to come in today. This single feature alone pays for the platform.
Enter the drop
Sneaker name, brand, sizes in stock
AI matches customers
Filters by size, brand preference & opt-in
Personalized blast
Every matched customer gets a unique email
They walk in
Ready to buy, expecting VIP treatment
Hi Marcus,
Great news — the Travis Scott AF1 (Nike) just landed in our store in sizes: 9, 9.5, 10.
These go FAST. Come in today or call ahead to hold your pair!
Show this email at the register for first pick.
See you soon,
The Store Team
Every tool you need to run a smarter sneaker operation — built in, no integrations required.
Build rich customer profiles — shoe size, brand loyalty, style vibe, child sizes — and use that data to order smarter and sell faster.
What managers say after their first 30 days.
"The Drop Blast feature alone made us $14K in one week. Customers were walking in within the hour."
Darius M.
Owner, Sole Theory Boutique
"I used to manually text 40 customers about every new drop. Now I do it in one click. My whole staff thinks I'm a genius."
Keisha P.
Store Manager, 3 Locations
"Our dead inventory dropped 28% in the first 60 days. We stopped ordering based on assumptions and started ordering based on actual customer data."
Tony R.
Regional Director, Fresh Kicks Co.
$2.4M+
Revenue generated for retail partners
18,000+
Customer drop notifications sent
31%
Avg. reduction in dead inventory
4.9/5
Avg. manager satisfaction score
From boutique shops to national chains — ShoePredictor pays for itself in the first week by reducing dead inventory and increasing customer rebuy rates.
Single-location independent wig shops
2–5 wig stores or salon chains
All plans include a 30-day pilot period. Pricing based on average customer rebuy cycle of 60–90 days.