Do Indian fashion brands need a PLM?

Brands with a few dozen styles can manage with spreadsheets and a disciplined time and action calendar. Once you have hundreds of styles a season and several mills and factories, version control, sampling and costing changes become where time and margin leak, and some form of PLM pays off.

Can a PLM work with WhatsApp?

Most PLMs don’t read WhatsApp: someone has to retype what was agreed. Tools that build the record from the conversations themselves keep up with the groups where decisions are made, without asking suppliers to change anything.

How long should a PLM take to set up?

Ask for something your merchandisers find useful in the first week. Long data migrations and supplier onboarding are the usual reasons a PLM rollout stalls.

What should a PLM cost?

It varies widely with the vendor, the number of users and the modules. Ask for the price per user and the implementation cost separately, and ask what your suppliers would have to do.

PLM for Indian fashion brands: what to look for

What a PLM has to handle for an Indian fashion brand: WhatsApp-first suppliers, Hinglish, job work, rupee costing, marketplaces, and teams that won’t fill in forms.

Spurby team, 25 October 2026, 6 min read

Most PLM software was designed around a brand in Europe or the US working with suppliers through portals and email. Indian fashion brands work differently, and a PLM that ignores that gets bought, rolled out and quietly abandoned. Here’s what to look for.

1. It works with WhatsApp, not against it

Mills, dyers, printers, factories and job workers run on WhatsApp. They won’t log into your portal. A PLM that only knows what’s typed into it will be weeks behind the groups where decisions are actually made.

Ask: when a decision is made in a WhatsApp group, how does it reach the system, and who has to type it?

2. It reads Hinglish and voice notes

Production messages mix Hindi and English, often in one sentence: “Diwali ke baad labour short hai, ex-factory 25 ko hoga” (labour is short after Diwali, so ex-factory will be on the 25th). Many updates arrive as voice notes. Any tool that reads conversations has to understand both.

3. It handles job work and many tiers of suppliers

One garment can pass through a mill, a dyer, a printer, an embroiderer and a stitching unit, with material sent out under challans. The PLM needs to know who has what, and which tech pack version each of them is working from. Under section 143 of the CGST Act, inputs sent for job work must come back within a year, or they count as supplied.

4. It costs in rupees, with GST kept separate

Costing should work in ₹ per piece, excluding GST: fabric consumption and wastage, trims, cut-make-trim, processes, overheads and margin, against a target. Changes agreed after costing should be logged against it, or the margin shrinks a trim at a time. Our free costing sheet shows the structure.

5. It keeps up with marketplaces

Marketplaces such as Myntra and Ajio, and large retailers, set their own labelling, packing and delivery requirements, and they change them. The PLM should make sure a change reaches the trims supplier and the factory, not just the brand’s inbox.

6. It’s useful in the first week

Many mid-sized brands have tried a PLM and stopped because setup took months: data migration, training and supplier onboarding. Look for something your team finds useful in the first week, ideally because it builds from data you already have.

7. It takes work off the team

If merchandisers have to type every update into one more system, they won’t. Judge a PLM by how much work it takes off them, not by how much it can store.

Questions to ask any vendor

When a decision is made on WhatsApp, how does it reach the record, and who types it?
Can it read voice notes and Hinglish?
How does it know which tech pack version each factory is working from?
Does costing work in rupees with GST separate, and does it track changes after costing?
How long until a merchandiser gets value, and what do suppliers have to do?
Does it work alongside the ERP or accounting system you already have?

Where Spurby fits

Spurby was built for exactly this: an Indian brand whose decisions live in WhatsApp groups with mills and factories. It reads the chats, emails and calls your team switches on, in English and Hinglish, keeps one record per style with every value linked to its source, catches a factory on an old version or a PI with an old price, and drafts the follow-ups. Suppliers don’t install anything, and it reads back the last 30 days on day one.

Questions

Do Indian fashion brands need a PLM?: Brands with a few dozen styles can manage with spreadsheets and a disciplined time and action calendar. Once you have hundreds of styles a season and several mills and factories, version control, sampling and costing changes become where time and margin leak, and some form of PLM pays off.
Can a PLM work with WhatsApp?: Most PLMs don’t read WhatsApp: someone has to retype what was agreed. Tools that build the record from the conversations themselves keep up with the groups where decisions are made, without asking suppliers to change anything.
How long should a PLM take to set up?: Ask for something your merchandisers find useful in the first week. Long data migrations and supplier onboarding are the usual reasons a PLM rollout stalls.
What should a PLM cost?: It varies widely with the vendor, the number of users and the modules. Ask for the price per user and the implementation cost separately, and ask what your suppliers would have to do.