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Where Do Configurators Fit Within the Future of Customisable Fashion?

  • Aug 14
  • 11 min read

Why the best solution is not always the one with the flashiest front end.


An imaginative visualisation of a team sports clothing configurator workflow

Recently, I was working with a brand that had launched around 460 variations across one product range...


On the surface, it was a brilliant offer: plenty of colour, print and product choice. Behind the scenes, each variation had to be created, checked and communicated manually across sizes. It quickly became clear that the challenge was not simply creating more choice. It was managing that choice without creating more work, more errors and more back-and-forth for everyone involved.


That is where configurators are becoming increasingly interesting for fashion. From personalised football shirts and made-to-order workwear to branded merchandise, uniforms and modular apparel, customers are expecting products that feel more tailored to them. The demand is also visible commercially: Grand View Research valued the global custom T-shirt printing market at $5.2 billion in 2024 and projects it will reach $9.8 billion by 2030, showing how product personalisation is moving beyond a niche offer. But a configurator is not just a nice online tool that lets someone change colours or add a name. Done well, it can connect customer choice with product development, sales, artwork, approvals and production.



Customisation is easy to sell. It is harder to deliver.


A configurable garment is not really one product. It is a set of possible outcomes. Add a few neckline options, sleeve lengths, colours, graphics, logos, player names, numbers and a full size range, and the number of combinations rises very quickly. The question is not only whether a customer can see the options on screen. It is whether the business can produce every approved option accurately and profitably.


This is where the details matter. Can a logo cross a seam? Does artwork need to shift or scale across sizes? What happens when a team changes a name after the order has been placed? Who checks the final files? And does the factory receive a picture of the product, or the information it needs to actually make it?


The strongest customisation experiences do not give customers unlimited freedom. They make the right options easy to choose while quietly protecting the brand, the product and the production process from choices that will cause issues further down the line.


THE BIG POINT

A polished 3D preview is only one part of the story. The real value sits in what happens before the customer starts designing, and after they place an order.

The configurator is not the workflow


Some businesses need a straightforward e-commerce experience. They want a customer to select a colour, upload a logo, add a name and buy the product. Others are trying to solve a much bigger problem: how to control a complex range, speed up quotations, reduce manual artwork, manage team orders, share correct information with factories or bring disconnected design and production processes together.


That is why two platforms can look similar from the customer side but be very different behind the scenes. Some are mainly customer-facing customisation tools. Others go further into product rules, digital assets, pricing, technical product information and factory output. Neither approach is automatically better. It just depends on where the pressure sits in your own workflow. This is true whether a brand is choosing a configurator for the first time or replacing an existing tool that no longer supports the way the business needs to work. 


Before choosing a platform, it helps to be honest about the real problem you are trying to solve:


  • Are customers struggling to understand or buy from a complex product range?

  • Is the sales team rebuilding quotes and visuals for every enquiry?

  • Is product development repeatedly creating artwork for sizes, variants and team orders?

  • Are factories receiving incomplete, inconsistent or hard-to-check information?

  • Do you need more control over what customers can and cannot customise?



What I would assess before choosing a configurator


When looking at platforms, I would encourage brands to go beyond the feature list. Almost every demo can show colours, text, logos and a rotating 3D product. The bigger questions are usually these:


Setup and assets: Who is responsible for preparing the 2D and 3D assets, product options and rules? Can your team maintain them, or will you need ongoing support?


Control: Can you guide choices, restrict unsuitable combinations and keep the customer experience simple without creating production problems?


Production output: What is actually generated after an order: a visual reference, a production PDF, individual artwork files, pattern-based files or a fully automated package for the factory?


Sizing: How are mixed-size orders handled? Does the platform support different placement or scale rules by size, and what still needs manual refinement?


Implementation: What training, onboarding and technical support are included? A new tool only delivers value once the team is confident enough to use it properly.





A quick look at the configurator landscape


There is no single “best” platform, but the following overview shows some of the differences in approach. It is not a scorecard: it is a starting point for understanding what each platform appears to prioritise.


Platform

A good fit when...

What stood out

You need product rules, assets, technical control and production output to sit in the same wider workflow.

Embodee felt most focused on reducing complexity at the product setup stage, so customer choice is controlled before it creates problems later in the workflow. It came across as a product and production platform first, rather than just a customer-facing configurator.

Visual quality, material realism and modular product storytelling are central to the experience.

Emersya stood out for the quality of the visual experience. Its strength seemed to be helping brands present complex or modular products convincingly online, especially where materials, trims and product storytelling matter.

You are a teamwear business looking for a clear route from online customisation to more automated production.

KitBuilder felt closely built around the practical realities of teamwear: rosters, repeat orders, team stores and a tiered route towards production automation. The workflow seemed especially relevant where the ordering process is as important as the visual customisation.

You need strong commercial control, detailed colour rules and live configure-price-quote functionality.

Konfiwear stood out for its CPQ logic and commercial control. It seemed strongest where pricing, colour rules, linked text and quoting need to sit close to the customer-facing design experience.

You want an e-commerce-friendly way to offer graphics-led personalisation and simplify output generation.

Zakeke felt like a practical route for controlled graphic personalisation, especially names, numbers, logos and defined print areas. Its strength seemed to be making e-commerce customisation accessible without overcomplicating the customer journey.


The main differences were not always in the customer-facing preview. They showed up more clearly in the setup process, the level of control, the type of output generated and how much implementation support a brand would need. KitBuilder, for example, felt especially strong for teamwear businesses that need roster-led orders, repeat team stores and a clear route into production automation. Zakeke looked more useful for graphics-led e-commerce personalisation, where names, numbers, logos and defined print areas are the priority. Emersya stood out for visual quality and modular product storytelling, while Konfiwear’s CPQ background made pricing and commercial logic feel central to the offer. Embodee appeared to sit at the deeper workflow end of the market, where product rules, technical assets and factory handoff are part of the same conversation.



Five different approaches



A good fit when: you need the configurator to sit within a more connected product, design and production workflow - particularly for complex teamwear, performance apparel or repeatable made-to-order ranges.


What stood out: Embodee Enterprise takes a broader, end-to-end view of the job. Alongside the customer-facing experience, it can support product libraries, colours, materials, rules, 2D and 3D assets, layouts and factory-oriented output. Compared with the other platforms reviewed, it spent noticeably more time on product setup, workflow and production processes than customer-facing visualisation. The focus feels less like “design your own product online” and more like defining and controlling a product properly from the start. 


Onboarding & implementation: Embodee appears to take a more supported, implementation-led approach, with onboarding and training shaped around each brand’s products, workflows and production requirements. 


Worth checking: This is not a shortcut around product development. The initial product structure, rules and assets still need to be thought through. It also appears to sit at a more premium, implementation-led end of the market, so it may not be the best fit for the smallest brands or very early proof-of-concept projects. Brands should test their own products, approval process and factory outputs through a pilot before assuming that every size or placement issue is fully automated. 



A good fit when: visual quality, material realism and a more premium or modular product experience are especially important - for example, where fabrics, trims, pockets or style details need to feel convincing online.


What stood out: Emersya stood out for visual quality, material realism and modular configurators. Compared with some of the more workflow-led platforms, it felt more focused on helping brands present complex or premium products convincingly online. My impression was that it approaches the challenge through the quality of the product experience, making it strongest where fabrics, trims, style details and modular choices need to feel clear before the customer commits. 


Onboarding & implementation: Emersya appears to put more emphasis on brand autonomy, with additional 3D, development or consultancy support available where the setup or workflow requires more specialist input. 


Worth checking: The experience can be very flexible, but that flexibility comes with setup. Brands should understand what needs building, what is included in the subscription and where additional 3D, development or consultancy support is required. Precision around size-based artwork, team orders and factory file handoff would need careful scoping against the actual product workflow. 



A good fit when: you are in teamwear and want a practical route from online customisation to team stores, roster orders and, at the higher tier, automated production files.


What stood out: The teamwear focus is clear. Features such as roster uploads, reorders, saved designs, squad stores and names and numbers all map well to the day-to-day realities of the market. Compared with some of the broader platforms, it felt more directly built around repeat teamwear ordering. My impression was that KitBuilder approaches the challenge from the ordering workflow itself, where managing teams, repeat orders and production tiers matters as much as the visual customisation. 


Onboarding & implementation: KitBuilder appears to offer a structured route into the platform, with training around product setup and a tiered model that lets brands move from e-commerce customisation towards more automated production when they are ready. 


Worth checking: The level of production automation depends on the package. The e-commerce tier can be enough for some businesses, but brands needing reliable multi-size outputs should look closely at the Print Production workflow, its Illustrator-based setup and what their team or factory would still need to check manually. 




A good fit when: you need to balance customer choice with strong control over pricing, colour options, design rules and commercial logic.


What stood out: The configure-price-quote foundation is a real strength. Live pricing, colour dependencies, linked text and zone-based pricing make it particularly relevant where the commercial side of customisation is as complicated as the visual side. Compared with the more visually led platforms, Konfiwear felt more focused on rules, pricing and control. My impression was that it approaches the challenge by keeping customer choice closely connected to commercial logic. 


Onboarding & implementation: Konfiwear appears to be more rules and setup-led, so implementation should be scoped around the brand’s own product logic, pricing structure and production requirements rather than judged from a generic demo. 


Worth checking: Some of the most important questions are in the implementation detail: how the product is set up, how size-specific artwork is handled and what production adjustments remain manual. These details should be tested against your own product, pricing structure and production workflow.



A good fit when: you need an e-commerce-led customisation experience, especially for products where graphics, logos, names, numbers and defined print areas are the main requirements.


What stood out: Zakeke offers a pragmatic visual product customiser that can work with 2D production-oriented setup and optional 3D preview. Compared with some of the more complex or implementation-led platforms, it felt like a more accessible route into e-commerce personalisation. My impression was that Zakeke approaches the challenge by helping brands offer controlled graphic customisation, especially names, numbers, logos and defined print areas, without overcomplicating the customer journey. 


Onboarding & implementation: Zakeke appears to offer a more accessible self-service route for simpler e-commerce personalisation, with more support available at enterprise level where setup, 3D assets or custom workflows become more complex. 


Worth checking: Its graphic customisation and physical product configuration sit in different solutions. That is not necessarily a problem, but apparel businesses with both complex product variations and detailed print requirements should understand how the two workflows would connect in practice, and what needs to be set up manually for each size or print area. 

Watch out for:

“Production-ready” does not mean exactly the same thing in every platform. Always ask to see the actual files your factory will receive, not just the customer-facing preview.

The format and completeness of those outputs can have a significant impact on downstream efficiency. Two platforms may both use similar language, while delivering very different levels of automation or factory-ready information. Seeing the actual outputs, not just the interface, is often the clearest way to understand those differences.


What matters more than a good demo


The research reinforced something we see across digital fashion tools all the time:

implementation is the make-or-break moment. It is easy to buy software that looks impressive in a demo. It is much harder to make that software stick when the people responsible for setting up products, checking orders and talking to factories are already stretched.


Support and onboarding matter. So does clarity around who owns the setup work. Some businesses will be comfortable learning a platform and building their own products. Others will need a more hands-on partner to help define the workflow, prepare assets and support the team until it becomes routine. Neither is a weakness. The problem comes when a business underestimates the work involved and assumes a subscription alone will solve it.


The other big lesson is that control is not the enemy of creativity. A good configurator should let customers feel involved in the design while protecting them from options that will look wrong, cost too much, cause production issues or fall outside the brand’s standards. That balance is where the real commercial value sits.



Questions to ask before you choose


  • What part of our current workflow are we trying to improve: sales, customer experience, artwork, production or all of the above?

  • Who will be responsible for setting up and maintaining products, rules and assets after launch?

  • Do we need individual outputs for every player, customer or size - and can the platform generate them reliably?

  • How are artwork placement, scaling and grading handled across the size range?

  • What exact files, specifications and approvals will our factory receive?

  • What support is included, and what would require additional investment?

  • Can we test our own product and production workflow before committing fully?


A practical next step is to test one real product, not a generic demo. Choose a style with a few realistic variations, names or numbers, sizes and graphics, then ask each provider to show how it would move from customer choice through to production output. Ask to see the actual files the factory would receive, and agree what a successful pilot would prove before committing to a wider rollout. 


Final thoughts


Configurators have a real place in the future of customisable fashion, but their value goes far beyond letting a customer change a colour or add a name.

Used well, they can help brands make complex products easier to understand, easier to sell and easier to produce.


The best choice is not the platform with the longest feature list. It is the one that supports the product, the customer experience and the workflow you are actually trying to build. For some businesses, that will mean a fast, accessible route to online customisation. For others, it will mean investing in a more connected product and production system. The right answer starts with the workflow, not the software.



👉 Need help making sense of the options?


Choosing the right digital tool is rarely just about the software. It is about understanding your product, your workflow, your team and what you actually need the technology to do.


At CAD for Fashion, we help brands and suppliers map digital workflows, understand emerging tools and build the confidence to make new technology work in practice, not just in a demo.


If you are exploring configurators, 3D, AI or digital product development tools and want a clearer view of what might work for your business, we would be happy to help.


Book a call below or email erica@cadforfashion.co.uk and let's have a chat!


Erica & the CAD for Fashion Team x


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