Fashion & Apparel D2C
POS for clothing sales and production
Fam Buro sells ready-made clothing and takes custom orders. Managers handle showroom sales in Dubai and online orders, production tracks fabric, and the owner sees payments and revenue.
Fam Buro
One order, three moments
Selection, a custom piece and payment stay in one connected record.
The Challenge
The founder put it in one line: "We sold a lot, and it is no longer in front of our eyes."
Orders in four channels
Orders came through the showroom, Instagram, WhatsApp and Telegram, and each one stayed in its own private chat. The brand had no order list and no record of who its clients were.
Workshop on the phone
Before a custom order, the manager called the workshop to check fabric availability and quantity. This could take 20 minutes. Ready-made stock had no shared records either: staff checked each showroom.
Payments by hand
Payment details and the delivery cost were typed into a chat for each client. Nobody knew which orders were paid without checking the bank, and month-end numbers were built by hand.
Manufacturing on paper
The workshop kept fabric records on paper. Production held the records of incoming fabric and usage, sending photos and messages to the office. There was no shared spreadsheet with stock levels.
Shared records
Managers enter orders from the showroom and messaging apps in POS. It holds products, customer contacts and payments. Production uses a fabric spreadsheet and Telegram bot, while the owner checks revenue and payouts.
Showroom, Instagram and messengers
Fabric table and staff bot
Orders, products and fabrics
Sizes left and fabric check
Revenue and payouts
- Sales channels to One shared record: Orders, contacts and payment
- Manufacturing to One shared record: Fabric in and out, photos
- One shared record to Sales team: Sizes left and fabric check
- One shared record to Owner: Revenue and payouts
Each order with its pieces, sizes, delivery, client contacts and payment status.
Fabric deliveries and cuts in metres, plus a photo and composition for every fabric.
Sizes left and fabric enough or not for sales; revenue and payouts for the owner.
What We Built
One record for orders, payments, money and fabric, shared by the showroom, the online team and manufacturing.
Audit and order map
We spoke with the founder and team about how they take orders, send them to production and check payments. We used these steps to plan development and agreed the plan with the founder before work began.
- Client message
- Order map
- Cutting table
- Bank
One screen for every order
On one screen, the manager adds a ready-made item, a custom order with a chosen pattern and fabric, or an item with a manually set price. Ready-made stock is shown by size. For custom orders, fabric is chosen from the catalogue.
The client's name, phone and email are saved with the order, with a note on the channel it came from. Delivery comes from a region preset and turns free above a set amount.
Payment on the spot or by link
The client pays by QR code at the counter, by a link in a chat, or from an invoice email that lists the order number, items and total with a pay button. Two currencies are available at checkout.
Card payments go through Stripe and mark the order paid by themselves. Cash and bank transfer are confirmed by the manager in one click.
- Order number and items
- Total and pay button
- Payment status
Order payment status
The order list shows seven colour-coded statuses. Card payments and refunds are checked against Stripe. The manager records cash and bank transfers once the money arrives. The status shows whether an order is paid, cancelled or refunded.
A check against Stripe flags a wrong amount or an unconfirmed payment. Every status change posts to the team's Telegram chat.
- Real payment or refund
- Order status
- Team Telegram alert
Money in one place
The dashboard shows daily revenue and orders, plus sizes running low. The payouts section shows monthly receipts, pending Stripe transfers, deposit dates and delays.
Orders for a chosen period can be downloaded with customer contacts. The file gives the team a sales history and the accountant the data they need.
- Choose period
- Order and client records
- Accountant file
Fabric tracking and Telegram bot
Fabrics sit in one table, split by material, each with a photo, composition and metres in stock. A fabric turns yellow at 2 metres or less and red at zero.
A staff member tells the Telegram bot how much fabric arrived or went into production. The bot reads the message and adds a log entry after confirmation. Stock is recalculated from receipts and usage. Before a custom order, the bot compares the metres available with the amount needed for that type of garment. In POS, the manager chooses the order’s pattern and fabric.
- Fabric lookup in POS
- Manufacturing Sheet
- Staff fabric bot
Under the hood
Orders are stored in the POS database, and card payments go through Stripe. Products and fabrics are tracked in Google Sheets, with receipts and usage logged through an AI Telegram bot. Staff receive a sign-in link by email. Access depends on their role: administrator or staff member.
- POS and database
- Stripe and Sheets
- Staff bot
The Results
The manager creates an order and sends a payment link. The owner sees revenue and payouts. Before taking a custom order, the team checks fabric stock and the amount needed.
Estimated time saved
Seven tasks at the current order volume: about 38 hours a month, or 450 hours a year (DigX estimate).
To take an order
Pieces, sizes, client and delivery in one pass, without a message to anyone.
Back-and-forth with the workshop
Before sewing, the manager checks fabric through the bot. Ready-made stock is shown in POS.
Every order with the client's contacts
Whatever chat an order starts in, it ends in the same list with a number and a status.
Taking an order
Confirming a custom piece
Size questions
Asking for payment
Who has paid
Month-end numbers
Logging fabric use
Your fractional technical team for operational change.
We cover the technical and strategic sides of AI transformation. We design solutions that actually work in the business, implement them end to end, and never overcomplicate where a simpler path will do.