Sold three pairs while you slept. 

StoreFleet is the AI employee for sneaker, streetwear, and luxury consignment shops. It texts your regulars, answers your DMs, reprices your wall against the market, and chases the carts people abandon. In your voice, under your rules, tracked to the sale.

$0

aging stock moved in one month

0

pairs repriced, then sold

~0 days

average time to sale

Your store runs on memory.

You and your staff are the best sales tool in the building, and you are buried. These six moments cost specialty stores real money every single week.

Royal Toe Jordan 1s on feet in a parking garage

2:47 AM

The DM that went cold

Someone asked if the 1s from your story were still around. Nobody saw it until 10am. They bought somewhere else at 9.

Chicago Jordan 1 pair shot on black

MARCH 14

The regular nobody texted

Marcus has spent $3,180 with you. He bought twice in the spring, then went quiet. Not because he stopped buying shoes.

Varsity jackets held up inside a store

SATURDAY 1:15 PM

The grail that walked in over DM

A regular offered you two varsity jackets, photos and all. The message sat unread through the Saturday rush. By Monday another shop had them on the rack.

Wheat Air Force 1 on mustard fabric

DAY 127

The pair aging on the wall

Market prices moved every week. Your catalog did not. The hot pair sits $60 under StockX while the slow pair collects dust.

Red streetwear hoodie worn on the street

12:06 PM

The size question answered at close

Does the hoodie from the drop come in XL. Asked at noon, answered after nine. He found one across town before you ever opened the thread.

Black Toe Jordan 1s on feet

11:04 PM

The cart left at checkout

A $400 pair sat in a cart after close and never made it through. The generic reminder email got deleted unread.

Plugs into what your store already runs

Last night, replayed.

StoreFleet works the hours you can't. Every message below is in the store's voice, staff-approved until the system earns autopilot, and tracked to the register.

11:04 PM

The cart left at close

LB

Luxury Box ATL

11:04 PM

2:47 AM

The DM nobody was awake for

LB

Luxury Box ATL

2:47 AM

9:04 AM

The regular who went quiet

LB

Luxury Box ATL

9:04 AM

4:12 PM

The milestone nobody tracks by hand

LB

Luxury Box ATL

4:12 PM

NEXT MORNING

You open the store to two holds, a recovered cart, and a VIP already thanked.

Staff approved every send. Nothing left the building without a tap.

The receipts.

Luxury Box ATL, a high-volume sneaker and luxury consignment shop, runs StoreFleet in production. These numbers come straight off its dashboard, counted the strict way: repricing credit only where the changed price was live at the time of sale.

$0

of aging stock sold after StoreFleet repriced it

0

pairs repriced, then sold, in one month

~0d

average time from new price to sold

0

price suggestions generated from live comps

And the foundation those results sit on:

$0.00M

lifetime customer value on file

0

customer profiles built

$0

in orders synced over 30 days

0

products tracked in catalog

Read the full breakdown

Live in weeks, not quarters.

No rip-and-replace, no six-month rollout, no consultant deck.

01

One 20-minute call

We walk the platform running on a real store, map which features fit how your shop runs, and you leave with an exact price. Not a range and a follow-up. A number.

02

We build against your real data

Everything wires into the stack you already run and comes up in test mode first. Read-only on your live systems until you flip the switch. Your stack stays the boss.

03

Flip features on, one at a time

Every feature starts in co-pilot: staff approve every message until the system earns autopilot from you. Most stores are live within a few weeks.

See it run on your store.

20 minutes. We walk the platform live on a real store, scope yours, and you leave with an exact price. No deck, no pressure. Bring your hardest workflow.