Spotlight On: PLM, Data Management, AI & Collaboration

Technology for fashion, in general, is a speculative category. Across a lot of the material The Interline writes and records, we are dealing with startups and scale-ups selling novel ideas or new applications. To a casual observer, fashion technology might look like a brand-new discipline.

In practice, as anyone working in the industry for long enough well knows, some classes of technology are so mature and so deeply-embedded into fashion’s operating model that people treat them as axioms are don’t talk about them anywhere near as much as they should. And the prime example of this phenomenon is PLM: a platform with a multi-decade history, so enmeshed in how the biggest brands and retailers in the world work, that it would be impossible to separate the idea of digital transformation from the practical reality of where product data lives, where teams collaborate and communicate, and where critical commercial and creative decisions are taken and archived.

Product lifecycle management is, by our estimation, the most mature technology category for fashion. But this does not make it static or boring, and now, in the second half of 2026, there is arguably more demand for both the core promise of PLM and its potential extended value than at any time in the last five years.

As a reminder: that founding promise was a simple but far-reaching one. PLM was intended to give every product a single, durable, and shareable record that encompassed style-level data, bills of materials, technical specifications, materials, colours, sizing information, supplier scorecards, sampling workflows, and more. 

In many cases that central vision was realised. Most of the biggest brands in the world currently run on PLM foundations that began to be laid before software-as-a-service and cloud-native deployments became the dominant model, and while the shape and scope of those deployments has changed over time (as we’ll examine shortly), most have remained the core around which other parts of fashion’s technology strategy have been built.

In some cases, the reality fell short of the vision, and there are companies of varying shapes and sizes who are, today, on their second, or even third, PLM project. But while you can read this as a suggestion that the promise was faulty, the reality is that essentially no company has abandoned the idea of PLM completely, attesting to the fact that operating without a single source of truth is incredibly difficult.

PLM, then, is fashion’s most reliable bedrock technology. And although there is much that’s now being built on top of that bedrock that makes the category exciting – and continues to draw companies in who are looking to buy PLM – it’s important to reckon with how that maturity is expressed in the market, through both reach and footprint.

Bamboo Rose, listed in the Spotlight, emphasise the multi-enterprise scalability of PLM, claiming that more than $1 trillion of retail goods is managed annually through their platform. They also cite it as covering workflows across planning, merchandising, design, development and more.

Centric Software, who also appear here, advertise more than 13,000 brands using PLM as the starting point for all their enterprise ambitions, and explain that it extends right the way from “concept to commerce”.

DeSL, too, talk about the idea of “concept to shelf,” and promote the ability of PLM to replace spreadsheets, emails, and separate systems – centralising communication, collaboration, and decision-making.

And that embedded, extended position that PLM occupies is also extremely current. Today’s market realities, taking in everything from global conflict and changing consumers to volatile commodity prices, are underlining just how important it is to be able to operate from a single platform, providing visibility into the different variables that influence product outcomes. According to research The Interline ran, early last year, in partnership with Fashion By Informa, profitability, risk mitigation, and the ability capitalise on new market and margin opportunities were fashion professionals’ top priorities… and all of these are deeply rooted in the data that PLM holds, the best practices it unlocks, and the integrations it boasts across the extended enterprise.

That extensibility, too, is more vital today than it’s perhaps ever been. The decisions required to protect those margins, to safeguard profitability, and to pursue new categories, markets, and ideas no longer respect traditional systems boundaries. Live product data is now the essential currency behind everything from early assortment-building and pricing, to late-stage channel allocation and even content creation and consumer experience.

Experienced vendors have followed that trajectory: Centric Software‘s portfolio runs from core PLM outwards in both directions, through visual boards to AI-powered PXM; Bamboo Rose frames its TotalPLM platform as spanning development, sourcing and supply chain; DeSL couples its fashion-specific PLM to PIM, supplier management and colour workflows, and advisory practices like Kalypso have built their services on an intimate knowledge of just how far the footprint of PLM can, and should extend.

And as relevant as some of this footprint-extension might have been under normal circumstances, allowing companies to centralise information and to have a consistent reference frame for choices made across the extended product journey, the rapid uptake of AI has lit a fire underneath it. It’s entirely reasonable to argue whether or not some categories of software actually benefit from the addition of natural language interfaces, MCP / API connectivity, or agentic AI actors, this is a hard argument to mount when it comes to PLM. Being able to interface with both core and extended product data in new ways, and to extract value from that data in both big, general-purpose AI applications and narrower ones, is highly likely to be a net benefit for a broad spectrum of end users.

There is, in The Interline’s opinion, no better place to put a “copilot” than in the central location that mission-critical product information lives, where vital decisions are taken, and where the sheer spread of available data spans so many different functions – all of which contribute in directly measurable ways to eventual product outcomes.

These two forces – footprint extension and AI – are also behind the links that adjacent technology providers like Made2Flow, listed in the Spotlight, have to PLM, giving users across design, development, and sourcing the tools to reference and act on lifecycle impact data in the places that matter.

This sentiment is also backed up by first-party data, which provides the buying mandate for companies that are now looking at the PLM market. The early findings of The Interline’s 2026 AI survey reveal that fashion professionals believe the most mature applications of AI live at the beginning and the end of the product journey – in creative inspiration and design, and in downstream content creation and marketing. 

In between those extremes sits a wide spectrum of decisions that need to be made and that need to be grounded in product information, supplier data, costs, go-to-market calendars, compliance information and certificates, and much more. This is the preserve of PLM, and it is not difficult to see how very contemporary challenges could be solved by bridging new interface paradigms with one of the industry’s oldest and deepest reservoirs of digital transformation. Consider a non-typical PLM user, asking a well-integrated assistant which styles their company has in development share a fabric from a tariff-exposed supplier, and then asking it to identify which alternatives are already tested and certified, and what impact they might have on margin, calendar and so on. This is not a future-facing picture, but rather a grounded idea of the renewed importance of the promise of PLM today.

This is why we consider PLM to have a unique position in the fashion technology landscape today. It is, at once, feature-complete, fully-scoped, and deeply implemented, but also just getting started when it comes to how much additional value footprint extension and AI can potentially create from that mature foundation.

And as readers looking at this PLM category would expect, advisors like Kalypso continue to approach PLM as a backbone of broader digital transformation that transcends product creation, production, and everything that comes afterwards – and their services, like the solutions themselves, are anchored in decades of best practice experience.

The question facing the brands and retailers reading this section of the 2026 Spotlight, then, is not whether or not they need PLM. The market has answered this question over and over. And while there is a decision to be made about which PLM solutions are truly next-generation, and that offer the right connectivity with the extended technology estate, and across the full product lifecycle, driving forces like Digital Product Passport regulations, along with increasingly hostile market conditions, all collectively underline why having a single source of truth (and making use of it in new places) remains essential.

As a result, we see not just new opportunities for PLM vendors, but for a wide variety of companies who are either looking to implement PLM for the first time, or to replace a legacy platform. Considering just how long PLM has existed in the background of fashion technology, it’s a testament to its relevance that there is still runway to explore, and still new questions to be asked.