The fashion industry is entering a new era in which
consumer and regulatory interests converge, and apparel brands are beginning to
change in response.
Consumers want
to know where their products are coming from, how, where and by whom they were
produced, and want to get a longer lifespan and recyclability from those items.
Cyrus Gilbert-Rolfe, senior vice president for retail and apparel at Kezzler,
looks at the challenge facing apparel with its growing data problem.
At the same time, regulators
aim to enforce mandates that lead to waste reduction, the elimination of
various harmful chemicals and more durable, recyclable apparel produced with
respect for people and the planet.
For the most part, apparel
brands are on board. With sustainability and ESG as watchwords across
industries, fashion is ready for a makeover. Embracing circular business models
is one brand response that satisfies the demands of the market, consumers and
compliance. But how? It will all come down to having visibility into the entire
apparel value chain. And this means being able to tackle a beast: to get value
from making apparel traceable, and being able to implement the most important
use cases, such as compliance reporting, dynamic consumer engagement and
circular business models, you will have to manage massive data volumes that
apparel traceability and circularity will generate.
What happens when you produce
a billion apparel items per year, and each one has 20 supply chain events, a
distributor, a wholesaler, a retailer, and so on? The picture starts to become
clear: a fashion brand in this situation is just three years away from managing more than a hundred billion data points, all of which
have potentially critical strategic value.
If every single physical item
is assigned a unique digital identity, managing the data collected throughout
the journey adds complexity. It is possible to trace the vast number of
garments produced on an annual basis, assigning unique digital IDs at an item
level. But as each garment makes its way through its complete lifecycle, from
manufacture, into the market and into the hands of consumers, it generates and
collects an incredible number of data points or events, all coming from
different systems. This can be both upstream (data from sourcing of raw
materials needed for production) and downstream (from manufacturer to
distribution to consumers) as well as at the retail point of sale, which has entirely
different sets of events to track.
Over time, these systems can
yield rich lifecycle data, but tapping into the insight is a major challenge,
given the different nature of various types of lifecycle events and the fact
that this data is being generated in different spaces and systems. Add to this
equation the need for scale and speed, which is especially important for the
largest producers, and you’ve got a need for a digital ID management events
repository.
Best practices for
traceability and transparency have in the past been driven by the
pharmaceutical and food industries to achieve important safety and authenticity
guarantees. These practices are transferable to the apparel industry, but
making sense of the billions of data points that fashion generates is a
different ballgame. Some key considerations in reducing the complexity and
getting to insight (and circularity) include:
·
Uniqueness:
Every single physical item becomes digital with its own digital identity, which
will (at any point in the life cycle or end-of-life) tell its story – every
detail or event within its life. This is happening now – and will continue to
be disruptive.
·
Scaling
identity: This new approach demands that digital IDs
be generated and validated at scale. Flexibility and scalability are key for
identities themselves to be able to cope with volume, the requirement for
near-real-time validation, and the flexibility to handle near-infinite capacity
demands in collecting, managing and customising different data sets for
different data models and systems.
·
Integration:
Managing billions of data points and taming them to transform business means
that the traceability/events repository platform needs to be easily integrated
into existing IT systems.
Circularity is the overarching
goal, driven most visibly by sustainability-related regulations
coming into force, which require that apparel and textiles introduce
circularity to their complete lifecycle. This includes being able to answer
questions about where materials came from, where the waste from their
production final products goes, and what happens to the final products at each
stage of their lives. And this demands traceability. The European Union’s
sustainable textile strategy, waste management frameworks, the digital product
passport (DPP), and other regulatory pressures require apparel brands to start
delivering insight into their value chains, but the data collected while
building a framework for compliance reporting provides business value well
beyond insulation from compliance-related scrutiny.
First and foremost, achieving
circularity aligns with regulatory requirements. Gaining a full picture of
provenance, authenticity, and so on, not only helps with compliance reporting
but also begins to fulfill some consumer demands for understanding what their
products contain. Circularity also means repurpose reuse, and recycle and
traceability can enable these activities as well.
Beyond circularity, however,
the billions of data points contain data that can provide unprecedented insight
into the life of a garment. And these connections to an item help deliver key
areas of measurable value, including:
Insight into factory
operations
The apparel supply chain is
fuelled by outsourced manufacturing. Understanding what’s going on in the
factory, it’s possible to alleviate risk while still achieving the cost and
operational wins outsourcing promises. With little to no influence on
productivity, product digitisation lets a brand add in a step on the production
line, assigning each garment a unique, cloud-based digital ID. This enables
everything from easier purchase order reconciliation to visibility into risk.
Visibility into
material and labour provenance
Where do raw materials come
from? What are the working conditions in a factory? Answering these questions
are no longer nice-to-have additions. They will soon become requirements with
regulations such as the EU Digital Product Passport, and consumers alike,
increasingly want to know where their products, and their component ingredients
or parts, come from. Not only will this visibility, thanks to unique digital
IDs, help with sustainability and ESG reporting and add value to consumers, it
will contribute to easier compliance with shifting regulations.
Confirmation of
authenticity
The opportunity for
counterfeiting is greater than ever. Fashion fakes are estimated to be worth
US$4.5 trillion, of which 70% are luxury brands. Assigning unique digital IDs
to garments and including the data carrier in the garment itself (on a QR code
or label) is an easy way to help consumers authenticate that their purchases
are genuine.
Creating dynamic user
experiences with first-party data
It’s increasingly difficult to
gain understanding of real consumer behaviour. With the death of third-party
cookies for analytics, one avenue for consumer insight is zipping up. Yet with
traceability data, which is first-party data, brands can unlock direct insight
into consumer behaviour, i.e., what they actually do versus what they report
doing. With product digitization, products themselves become their own digital
channel that connects brands directly to consumers.
Scanning a code creates
opportunities for context-based, dynamic and personalised experiences. And the
scan can trigger a process that checks different consumer attributes (e.g.,
location, time of day, device, how etc.) that can help further tailor the
experience. This can unlock new revenue opportunities (repurchases, refills, loyalty
programs) and enhance conversion rates, create cost savings and efficiencies
(potential for registration, return and warranty) as well as contribute to
circularity (information on recycling and repair).
Brands working at the scale
and speed of fast fashion aim to be responsive to consumers and regulatory
requirements. Balancing consumer demand for environmental and social
accountability and the circularity requirements of impending regulatory
mandates leads the way. But this is just the beginning of what is possible when
adopting product digitisation and traceability in being able to understand and
operationalise the data underpinning the full lifecycle of products.
By Just Style