Case study · Nassau · sneaker retail

THE PLUG
242.

The store we built this on. It is still running, and we still own it.

Problem → What we built → What changed → Numbers

Live  ·  2:14 am  ·  nobody awake

Why we lead with this

Most agencies show you work they did for somebody else. We are showing you our own money.

THE PLUG 242 is a real sneaker business in Nassau — real stock, real customers, real deliveries. We built the bot for it because we needed it, not because a client asked. Everything on the services page came out of this store first and was proven here before it was ever sold to anybody.

Problem

Every single message was answered by a person.

  • The same questions all day — how much, you have my size, you have this one in a 10
  • Somebody had to check the stock by hand before answering, every time
  • Messages came in overnight and on Sundays and sat there until somebody woke up
  • An order could not exist until a human typed it out
  • Busy days were the worst days, because that is exactly when replies got slowest

The business was not short on demand. It was short on the hours needed to answer it.

What we built

Jess — a bot that knows the stock.

Jess sits on WhatsApp and handles the conversation end to end. She reads the shoe code a customer types, checks what is actually on the shelf right now, confirms the size, quotes the real price, takes the order and passes it to delivery.

She knows the rules of the business, not just the products: which sizes convert between men's and women's, what shipping costs to which island, when a deposit is needed, and when to stop and pass the chat to a human.

The whole system, plainly

WhatsApp Bot reads the message Live stock list Answer with real price and size Order Driver

No new app for the customer to download. No new number to learn. They message the same WhatsApp they always did — the difference is that now it answers.

What changed

The shop stopped closing when everybody went to sleep.

  • Repeat questions get answered instantly, at any hour, without anybody picking up a phone
  • Overnight messages turn into orders that are waiting in the morning instead of gone by morning
  • Stock answers come from the live count, so a customer is not told yes on a pair that sold an hour ago
  • Staff time moved off typing and onto picking, packing and delivering
  • The unusual conversations still reach a human — but now that is all a human handles
Numbers

Measured, not estimated.

These come out of the system's own logs. We are filling them in with the real figures rather than rounding something impressive — see the note underneath.

Response time before → after
Orders handled with no human touch % to confirm
Hours a week given back hrs to confirm
After-hours orders captured count to confirm

On these boxes: they are deliberately empty until the real figures are pulled from the logs. We would rather show you a blank than a number we made up, and we would tell a client the same thing about their own site.

See it work

This is the part that sells it.

A customer types a shoe code and a size at two in the morning. Nothing about that message is easy — it is slang, it is abbreviated, and it needs a live stock check to answer. Here is the shape of it.

WhatsApp  ·  Saturday 2:14 am
yo you have F6 in a 10?2:14 am
Yes — F6, Jordan 4 Military Black. Size 10 in stock. $185.2:14 am
my girl wear a 10 too, that same one?2:15 am
A women's 10 is a men's 8.5 — I have that. Want both?2:15 am
aight I want it2:16 am
Locked in 👌 Sending bank details now. Delivery today — Nassau is free.2:16 am

Three things happened there that a scripted chatbot cannot do: it understood a shoe code, it converted a women's size to a men's size on its own, and it sold a second pair nobody asked it to sell.

Screenshots go here

Real screen recordings of Jess handling live conversations belong in this block — they are more convincing than anything written on this page. Drop the images in assets/img/ and they get swapped in. Nothing invented in the meantime.

Your turn

Your business is not sneakers. The leak is the same.

Different stock, different questions, same problem — people asking things at hours when nobody is there to answer. Tell us what you sell and what you repeat all day.