An AI assistant for garment manufacturing units: what it does on the floor

In a garment unit, Kyrra works as the floor’s shared memory on chat. Masters, karigars and supervisors send voice notes and photos of job cards as each lot moves from cutting to stitching, embroidery, finishing and packing. Kyrra keeps every order’s stage on record, chases what’s late and tells the owner what’s stuck.

What goes wrong on a garment floor today?

An order passes through five or six hands before it leaves. The job card travels with the lot and gets folded, stained or left on the wrong table. Instructions (“collar ka colour badalna hai”) are spoken to the master, who tells the karigar, who forgets by evening. The thread is late, but only the person who called the supplier knows. And at night, the owner calls three people to find out what moved today. Read why instructions get lost on the shop floor.

What does Kyrra do, stage by stage?

Stage	What the team sends	What Kyrra does
Order comes in	A message or a photo of the order	Saves the order, quantity and due date
Cutting	Photo of the job card, “cutting done, 150 pieces”	Saves it, tells stitching the lot is coming
Stitching and embroidery	Voice notes as lots finish	Moves the order to that stage, checks the count
Raw material	“Thread from Shakti by Thursday”	Reminds the right person on Thursday if it hasn’t come
Finishing and packing	“214 packed, 148 pieces”	Marks it ready, flags the 2 missing pieces
Dispatch	Photo of the challan	Marks it dispatched
Payment	“Bill for 214, 1.2 lakh, due in 30 days”	Reminds accounts on the due date, calls the customer when asked

Each person gets replies in their own language and script: Hindi, Gujarati, Bengali, Tamil and more. A karigar who doesn’t read can send voice notes, and ask for answers as voice notes too.

What happens when counts don’t match?

This is where most garment units lose money quietly. When an update disagrees with the record, like 70 pieces back from stitching where 72 went out, Kyrra:

1. reads what the record says about that lot, earlier stages included
2. saves whatever is clear
3. says both numbers in one line and asks the person who sent it which is right
4. tells whoever your business says checks such things

If nobody can explain the 2 pieces, it is kept as an open finding: what was found, by whom, and on which order. The next time anyone asks about order 214, Kyrra mentions it, with who found it and how long ago. A lot with an open finding isn’t simply “ready”.

How does the team’s know-how stop living in one head?

• Notes for the whole team. “When a lot is rejected for shade, keep it aside and tell the owner.” Said once, kept in the team’s notes, used the next time it comes up.
• What Kyrra learns. Each night it reads the day’s work and remembers how your unit runs: which supplier is usually late, who does embroidery, when cutting usually finishes.
• Hands-free. A karigar at the machine can say “Hey Kyrra, start” through Bluetooth earbuds and speak the update without touching the phone.

What does the owner see?

Ask anything, any time: “Where is order 214?” “Which orders are due this week and not yet in finishing?” “What did the embroidery section finish today?” Or get a short summary of what’s stuck every evening at a time you choose. Read how to know what’s pending every morning.

What else should I know?

• Keep Tally for books, GST and bills, as today.
• Your registers and sheets come in from Excel and CSV files, photos and PDFs.
• It doesn’t guess. A smudged number on a job card gets a question.
• We visit first and set each unit up with the team in person.

See also how to track job cards on chat and how to track karigar work and piece counts. For what changes for each person, read AI on the garment shop floor, and to compare options, production tracking without an ERP. New to Kyrra? Read about Kyrra.