Sizing problems pressure fashion e-commerce margins as BCSizing targets fit at design stage

Online retail has expanded purchasing options in the fashion industry, allowing consumers to compare brands, styles and prices without physically entering a store. Yet this transformation has made a longstanding problem in clothing more visible: ensuring that a size actually fits the person buying it.

A garment may offer high quality, a competitive price and an appealing design, yet still be unsuitable for the person wearing it. Differences in body proportions, the patterns used by manufacturers and their fit criteria make it difficult to provide a consistent experience across brands and even between products from the same company.

In e-commerce, where customers cannot try on a garment before purchasing it, this uncertainty becomes an economic problem. A return involves transportation, inspection, handling and restocking. In some cases, the product comes back after demand has already declined, must be sold at a discount or can no longer be marketed under its original conditions.

Fit is therefore about more than consumer satisfaction. It is a variable that can affect retailer profitability and the efficiency of the entire supply chain.

Why Traditional Sizing Systems Are No Longer Enough

Clothing sizing systems have evolved through conventions, measurement charts and body models used to design and manufacture garments. These tools are essential for standardizing production, but they cannot perfectly represent the diversity of human body shapes.

Two people of the same height may have different proportions. Even when their overall measurements are similar, differences in how body volume is distributed can affect the fit of trousers, jackets or dresses.

Differences between brands add another layer of complexity. Measurements associated with a particular size are not necessarily identical across companies, as design choices, reference body models and fit criteria vary.

Consumers are consequently left to interpret information that is not always comparable. They may consult a size chart, read customer reviews or purchase multiple sizes of the same item, returning those that do not fit.

This last behavior, often referred to as bracketing, can increase the number of items shipped and subsequently returned. For retailers, a sale does not necessarily mean that a transaction has been completed efficiently: the likelihood of a return and the cost of processing it must also be taken into account.

The Economic Weight of Returns in Online Fashion

Returns management is one of the operational challenges of e-commerce. In fashion, the problem is closely linked to uncertainty about fit, but also to perceived product quality, customer expectations, commercial policies and consumer purchasing habits.

A study published in 2025 in Transportation Research Part E: Logistics and Transportation Review examined inefficiencies in online fashion returns, including purchasing behavior in which customers order multiple items with the intention of returning some of them. The research highlights the economic and environmental implications of reverse-logistics flows.

The costs extend beyond transportation. When an item is returned, the retailer may need to pay for inspection, warehouse handling, restoring the product to saleable condition and potentially repackaging it. Capital also remains tied up while the return process is completed.

If a garment comes back too late, its commercial value may decline. In fashion, where collections are seasonal and demand cycles are relatively short, timing matters: an item returned weeks after purchase may be harder to sell at its original price.

There is also an environmental dimension. Each return can involve additional transportation and handling, while products that cannot be efficiently returned to the sales cycle may contribute to waste.

Reducing returns, however, should not be pursued without considering consumer behavior. Simple and flexible return policies can encourage trust and repeat purchases. The objective for businesses should not be to prevent legitimate returns, but to reduce avoidable ones by improving product information and the match between what is sold and what customers receive.

Why Digital Solutions Cannot Solve Everything

Many fashion companies have introduced digital tools to help consumers choose the right size, including interactive measurement guides, questionnaires, personalized recommendations and systems based on body measurements.

These technologies can improve the shopping experience, but their effectiveness depends on data quality, product characteristics and the ability to predict individual preferences.

A study published in 2025 in the Journal of Innovation & Knowledge, based on data covering more than 496,000 items ordered by over 75,000 customers on a fashion platform, found that using a size-selection tool did not automatically guarantee a reduction in returns. The study also identified potential positive effects on customers' future value, highlighting the need to assess these technologies across multiple dimensions.

The findings highlight an important point: technology does not deliver benefits simply because it provides a recommendation. It must be properly integrated into the shopping experience and address the specific needs of both products and consumers.

There is also a difference between helping customers choose a size and improving the way that size is designed. In the first case, the system tries to identify the most suitable product among those available. In the second, the intervention takes place further upstream, during the development of the patterns and size gradations that guide production.

This second perspective shifts the problem from e-commerce alone to the industrial apparel supply chain.

From Design to Production: A New Frontier for Fashion Tech

Clothing companies must translate creative designs into garments that can be manufactured at industrial scale. Size development requires technical expertise, dimensional data and processes that allow a pattern to be adapted to different measurements without compromising fit, proportions or product characteristics.

Traditional size-grading systems can become less flexible when they need to represent a wider variety of body shapes. A multidimensional approach, by contrast, makes it possible to consider variables such as height, proportions, body shape and other characteristics relevant to a garment.

The challenge is translating these data into patterns that manufacturers can actually use. More detailed measurements alone are not enough: companies need repeatable processes that are compatible with design software and production constraints.

For fashion brands, the potential benefit lies in designing collections that better reflect the characteristics of their customer base, reducing fit-related errors and improving assortment management.

For technology providers, the commercial prospect is to turn specialized expertise into a software service that can be used by multiple companies, generating recurring revenue and offering routes to international expansion.

The main difficulty is demonstrating economic value. A system may offer a more sophisticated technical model, but customers need to measure its benefits: lower development costs, greater accuracy, fewer errors or improved commercial performance.

BCSizing and the Search for Greater Accuracy

BCSizing, a UK-based Fashion Tech startup, operates in this context by developing a software platform based on multidimensional body data to improve sizing design in women's apparel.

According to the profile published on UCapital Dealflow, the platform enables designers to work with digital body models and generate size ranges for production, moving beyond an approach based exclusively on the linear grading of traditional patterns.

The commercial proposition targets fashion brands, retailers, manufacturers and designers seeking to improve fit accuracy and reduce the costs associated with returns and inventory management. The company also lists a £200,000 seed fundraising target.

The decisive step will be demonstrating that the approach can be integrated into real production processes and deliver measurable benefits for customers. The development of pilot projects, their conversion into commercial contracts and the results achieved in terms of fit, costs and product management will therefore be important indicators.

The challenge of digital fashion extends beyond a single company. If businesses can make better use of data at the design stage, fit could become a more controllable variable in the manufacturing process, affecting both the shopping experience and supply-chain efficiency.

For the industry, the objective is not simply to increase online clothing sales. It is to produce and distribute garments that better meet people's actual needs, reducing inefficiencies without compromising consumers' freedom of choice.

BCSizing - Data-Certified Fit Technology