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Axind

AXIND is a software company focused on providing domain-specific solutions to the Fashion

30/04/2026

"Every department, every category — working the same way."

Pivot Apparel went from 500 articles a year to 3,328 — seven brands, four seasons, same team.

Techpack accuracy improved by 15%. Approval turnaround got 20% faster.

Not because the team changed. Because the process finally gave them something consistent to work from.

Full story here: www.axind.com/how-pivot-apparel-became-a-smart-organization-with-axind-plm

29/04/2026

You didn't miss the deadline. The process missed it for you.

Most sampling delays don't start at the factory — they start at the desk. In the wrong version of the techpack. The comment buried in an email chain. The correction that never reached the factory.

It happens the same way every season. Quietly, until the collection date is the only thing that hasn't moved.

If this sounds familiar, swipe through the carousel above.

28/04/2026

McKinsey's State of Fashion 2026 report landed an uncomfortable stat earlier this year: 90% of AI pilots in fashion have stalled before becoming standard practice.

Most people read that as a technology problem. It isn't.

The pilots stall because the data underneath them is still living in spreadsheets and email threads. You can't build an intelligent system on top of a chaotic one. The AI inherits the mess.

The brands making AI actually work in their operations have solved something more basic first — one source of truth for their data. Clean inputs, useful outputs.

The window to build that foundation before your competitors do is shorter than it looks.

What's stopping your operation from making the move? We'd love to hear your thoughts below.

23/04/2026

Here's a scenario most sourcing teams have lived through at least once.

A buyer sends a revised PO. Two size quantities changed, highlighted on page 14 of a 40-page document. Your team is busy, the revision gets missed, and the factory cuts to the old spec.

The rework costs more than the margin on that style.

Axind AI-Order-Importer extracts buyer order data automatically and flags every change before it reaches production — so the factory always builds to the right spec.

22/04/2026

A buyer asks what a style would look like in navy. A reasonable question. What follows is not a reasonable answer: back to the studio, model booked, photographer scheduled, edit turnaround, four days gone.

By the time you send it over, the moment has passed.

Axind AI-Designer generates colourway variations from a reference image in minutes — so you can answer a buyer's question in the room, not four days after it was asked.

21/04/2026

When your retail, wholesale and e-commerce channels run on separate systems, something is always falling out of sync. A price update that didn't carry across. Stock that shows available in one place and sold out in another.

One Friday — a high-end children's fashion brand managing retail stores, wholesale and e-commerce — solved this by consolidating everything onto one platform. Design, manufacturing, merchandising and all sales channels. One system, one view.

If managing multiple channels feels harder than it should, it probably is.

16/04/2026

Most collection plans aren't really plans — they're records of decisions that got made in corridors and over email, assembled after the fact into something that looks like a strategy.

By the time the range is finalised, the line sheet is usually being rebuilt from scratch, nobody is quite sure which version of the spreadsheet is current, and the buying meeting is tomorrow.

It doesn't have to work this way. When your collection plan lives in one connected system — price point, brand, theme, vendor all visible at once — the decisions still get made. They just get made earlier, with better information, by the right people.

That's what Axind PLM+ is built for. Book a demo at axind.com

15/04/2026

Most fashion brands find out how their season is going from a weekly report someone assembled by hand — or a gut feeling. Neither is fast enough to do anything useful with.

Axind OMNI changes that. One live monitor across retail, wholesale and e-commerce, updating in real time. No lag, no manual reporting, no assembling numbers from three different systems on a Friday afternoon.

The brands that move fastest aren't the ones with the best instincts. They're the ones who see the data first.

Swipe through to see what that actually looks like in practice — and book a demo at axind.com if you want to see it for your operation.

14/04/2026

Most fashion brands are running a $10M operation on a $10 spreadsheet — and most of them know it.

T&A tracked in Excel(r). Orders retyped by hand from buyer PDFs. Approvals chased over WhatsApp(r). Season status assembled from five different places the morning of a review meeting.

It holds together, until one season it doesn't. Usually it's something specific that breaks it — a missed shipment, a revision that didn't reach the factory in time, a delivery that came in late when nobody saw it coming.

The spreadsheet isn't the villain. It just wasn't built for what you're asking it to do.

If your operation has grown faster than your tools have kept up, it might be time for a conversation. Book a demo at axind.com

09/04/2026

Your team spent three weeks getting this techpack approved.

The supplier just asked which version to use.

You have 11 files in the folder. Four of them say FINAL. One says FINAL_USE_THIS. One says FINAL_USE_THIS_(1). The supplier has no idea which one is current — and honestly, neither does anyone else.

This is not a version control problem. It is a workflow problem. When approvals happen over email and files live on shared drives, the latest version is wherever the last person put it. And when production is waiting, that ambiguity costs real money.

Axind PLM+ keeps techpacks created, approved, and versioned inside the system. One record. One source of truth. No folder archaeology, no supplier confusion, no rework.

What does your AW26 techpack folder look like right now?

08/04/2026

We've all seen this post.

847 purchase orders. 12 vendors. One very tired merchandising team armed with nothing but Excel, WhatsApp, and sheer determination.

The 94 reactions are real. The problem is realer.

When surviving your own process becomes the win, it's time to look at the process itself. Axind SCM replaces the heroics with live vendor visibility, structured milestone tracking, and updates that don't require a follow-up WhatsApp to confirm the follow-up email.

Does this look like your team's season?

07/04/2026

Your team just received a 47-page buyer order.

200 styles. 6 delivery windows. Every row needs to be in the system manually — style by style, colour by colour, quantity by quantity.

Row 4. Row 11. Row 23. Then a revision arrives with new quantities on 14 styles. Back to row one.

This is the reality for sourcing teams processing hundreds of orders a season. Hours of data entry that is slow, error-prone, and adds zero value to the product itself.

Axind AI-Order Importer eliminates the step entirely. Drop in the PDF, review the extracted data, confirm, and the order lands directly in your system. Any buyer format. Any volume. Ready from day one with no IT project required.

How many hours a week does your team spend on order entry?

Adres

Lindelaan 26
Middenmeer
1775GK

Openingstijden

Maandag	09:30 - 19:00
Dinsdag	09:30 - 19:00
Woensdag	09:30 - 19:00
Donderdag	09:30 - 19:00
Vrijdag	09:30 - 19:00

Website

http://www.axind.com/

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