Case studiesApparelCase study

AI for apparel
manufacturers.

Answer every buyer in minutes, turn orders into production sheets, and keep brands updated from cutting to shipping, without adding to your team.

01The problem

Sound familiar?

In apparel, the first supplier to reply usually gets the order.

01

“Buyers email at all hours, and we answer the next day.”

02

“Tech packs and orders get copied into spreadsheets by hand.”

03

“We run out of fabric halfway through an order.”

04

“Brands keep asking for status updates and photos.”

02What we automate

Six jobs that can run on their own.

Built around your catalog, your price lists and the way your floor works. You approve what matters. These are the usual starting points. The deep dive finds the rest.

01

The buyer inbox

Replies with the right catalog, prices, minimums and lead times, any time of day.

Next-day repliesAnswered in minutes
02

Samples and orders

Sample requests and purchase orders are logged, confirmed and sent to the right person.

Lost in email threadsLogged and confirmed
03

Production sheets

Confirmed orders and tech packs become cutting and production sheets for your floor.

Copied into spreadsheetsDrafted for your OK
04

Fabric and trims

Tracks fabric and trims against open orders and warns you before you run short.

Found out mid-orderFlagged before cutting
05

Buyer updates

Status and photos go to each brand at every stage, from cutting to shipping.

Chased by email and phoneSent on their own
06

Collections and social media

New styles turned into posts, line sheets and newsletters, ready for you to approve.

Whenever someone has timeEvery week, you approve
03Watch it work

A buyer’s email at 23:40.

  1. A buyer asks for your new catalog and a price for 1,200 units.
  2. The AI replies with the catalog, wholesale prices and lead time.
  3. The buyer asks for samples. The sample order is created.
  4. A production sheet is drafted and waits for your OK.
Email23:40
  1. Hi, do you have your SS26 catalog? We’re looking at 1,200 units of knitwear.
  2. Here’s the SS26 catalog with wholesale prices. For 1,200 units the lead time is five weeks. Want samples?
  3. Yes please. Styles 14 and 22 in navy.
  4. Done. Samples ship Thursday, and I’ve added you to our buyer list.
04Case study

What it looks like for a maker supplying 40 brands.

The situation

Buyer emails piled up overnight. Tech packs were re-typed into spreadsheets. Fabric shortages showed up halfway through orders.

What we build

A buyer assistant that answers with catalogs and lead times, an order-to-production-sheet automation, and a fabric tracker.

What changes

Buyers get answers in minutes at any hour. Production sheets are ready when the order is confirmed. Shortages are flagged before cutting starts.

A good first project: the buyer inbox.

Reply first and you’re the supplier they remember.

Book a call
05Your systems

Works with what
you already have.

No new software for your team to learn. We connect to the tools you use today, and tell you up front if something can’t connect.

@Your inboxEmail from buyers and brands
◍WhatsAppBuyers and suppliers who message
▦SpreadsheetsExcel and Google Sheets
◫Tech packsPDFs and spec sheets
▤Your ERPOr your production software
✶Social mediaInstagram and LinkedIn
06Questions

Questions apparel makers ask.

More on cost, data and getting started in the main FAQ.

Can it handle different price lists for each brand?

Yes. It uses the right prices, minimums and terms for each buyer, and asks you when something is new.

Can it read tech packs?

It reads PDFs and spreadsheets for styles, sizes, colours and quantities, and flags anything that doesn’t add up.

Our buyers use WhatsApp. Is that covered?

Yes. We connect WhatsApp alongside email, so every conversation ends up in the same place.

Will it post on social media without us?

Only if you want it to. By default it drafts and you approve.

Tell us what’s
eating your week.