The fashion industry, nearly like no other, has gone through dramatic changes in the last 20, 30 years. Indeed it finds itself in the present at a crossroad. Resource scarcity is triggering shifts in business models and supply-chains; waste is the new resource; customers are the sales channel of the future; and legislation is becoming ever more stringent. The fact though is: if looking back at predictions of the 1950 and 1960, or even earlier (physical artefacts not considered), the reality we live in compares best to the predictions that were considered ‘totally crazy’ in their time.
Have you heard about open data? And about open source?
The equivalent of open source in sustainability terms would be an ‘open standard’.
But what would that mean?
How do you make ‘sustainability' tangible?
The usual answer is – unsurprisingly – a ‘well, it depends’.
Which it evidently does.
Unfortunately, good case studies are extremely rare to come across.
Hence, when I stumbled across such a gem in one of the primary Swiss news papers, I jumped at the opportunity to summarise it for this blog.
PASS THE BATON is a new type of recycle shop with two locations, in the center of Tokyo. It cherishes the emotional bound that both, previous and new owner have with the item, fostered by a carefully curated setting.
Mistra Future Fashion (MFF) is a 4-year research project (2011-2015), funded by the Swedish government via Mistra, the Foundation of Strategic Environmental Research.
MFF has a very holistic approach that has the goal of supporting the industry to re-think their business models, design and industrial processes and promote consumer behaviour change.
The term ‘circular economy’ has recently been – again – converted into a buzz word. To some extent there are a couple of good reasons for that as both common sense as well as the Ellen McArthur foundation's most recent report prove.
The most recent event in the 'Perspectives on Future Sustainable Design' series highlighted the progress made in developing sustainable design approaches. Both, from a theoretical as well as from a systemic point of view. A summary.
On November 12 and 13, 2013 the yearly Textile Exchange conference took place in Istanbul, Turkey.
I was invited to run a workshop on Scenario Work as one of the 'Strategy' break out session on the first day. The workshop was fully booked with 25 highly interested and active participants. In 90 challenging minutes they experienced a compressed version of a Scenario Planning workshop.
As companies and countries around the world pursue net zero targets, one big question is: How do you ensure the carbon removal technologies we will need 20 to 30 years down the road are available, affordable and easily scaled?
S&P Global recently published a podcast mini-series on emerging climate technology.
The series not only introduces a range of much hyped about, CO2 saving or CO2 removing technology, but also looks at scaling, the truth of potential impact, and financial viability.It is for this reason that I would like to list the three episodes in this post – and invite everyone to spend the 3 x 20 minutes to wrap their head around these insights.
In last week’s post I looked at energy companies and their trajectory relative to the Paris Climate Agenda. The insights clearly suggested a mixed picture. A clear point of how important it is to decarbonised the way we fuel our economy and global society.
But that’s unfortunately not all there is to the energy generation picture!
What few people realise: Energy generation requires water. A lot of water.
Not just in the energy generating processes, but also in the extraction of the energy source (coal in particular), and/or the making of the necessary equipment.
Some insights ... illustrated at the example of China.
The current fashion and textile landscape is fairly limited in terms of what types of materials are being used. Innovation is key, and products such as Tencel, Sorona and Ingeo proof that industry is investing heavily in R&D. Spider Silk may be one of the few natural fibres of the future yet to see it hayday.
Could ESG reporting finally become less repetitive and tedious?
AI has the potential to transform ESG reporting by automating compliance tracking, integrating data from diverse and unstructured sources, and streamlining audit preparation. This opens up opportunities to free data and ESG experts from repetitive, tedious tasks. Yet, while AI offers promise, tight oversight remains essential to address challenges like data quality ('crap in is crap out') and system integration.
In the fashion industry we’re very taken to ‘trend’: the colours, cuts, styles, fabrics of the next couple of seasons or so. Yet few venture to think about how their very own industry will look like in, say, 2020 or beyond. Resting the case for the importance of building scenarios of the long-term future.
Supply chains, as a discipline of expertise, have come out of the hiding and recognise their role in reducing corporate risk. This is notably and specifically the case in fashion and textiles. At the same time, 'design' - not just in the creation room, but in all facets where it impacts the making, delivery and use of a product or service, is increasingly recognised as relevant.
Computer Science and Sustainability/ESG: these two areas of expertise combine increasingly well with every passing month and year. In fact, I am tempted to say that the two worlds of sustainability and digitalisation are surprisingly similar to one another. In a number of ways – not in all, of course! – they overlap more than they differ. And mutually benefit each other.
Both areas represent critical skill-sets for boards and senior executives in the current and upcoming decades. This is why I thought I’d take the time to reflect on the overlaps, the synergies, but no doubt also the differences.
The key words: systems thinking, automatisation, fraud prevention and authentication, business model distruption, usability, and the Just Transition.
Cradle to Cradle is a design methodology that puts a 'waste-less' world at its heart. What is the concept all about? What does it mean for the apparel industry? And who practises it among designers and companies?
How does digitalisation impact and link to corporate responsibility? This is the question we look into in this post.
Combining the two disciplines results in a range of interesting questions. For example: If humans create non-human agents (e.g. in the shape of AI): For what, towards whom are these responsible? And: are they responsible at all - or is it their creator who is?
Can AI help us to get to (better) grips with supply chain compliance?
Supply chains are based on fairly complex partnership networks where every link ideally must meet strict efficiency and compliance standards.
Supplier audits and legislation aim ultimately to ensure high standard, it is a not the least highly time demanding task to be successful at. AI offers the potential to support practical solutions for risk assessment, process optimization, and partner evaluation. Commercial providers are already jumping on the band wagon by providing ways to build 'digital twins' of real supply chains – hence opening them up for 'offline optimisation' - and of course highly sophisticated data analytics tools drawing from multiple disjoint data sources.
Authentication and traceability backbone solutions have become a key technology for many a brand to prevent not only product forgery, but also to prove truthfulness of on-and-off product claims.
What few realise: product authentication is just one half of a 2-part system (Figure 1) whereby authentication is applied to the product at its point of origin, and a traceability backbone ensures that the product reaches its destination – for example the end consumer – safely and untampered.
At Shirahime, we have worked quite extensively over the last few months on the development of fashion industry scenarios beyond the 2020 time frame, going as far as 2045.
We mentioned for example Shell as one that used this approach to suit their own goals.
Siemens' 'Future Life' video, as presented the The Crystal in London.
A much more interesting approach, and very insightful in terms of methodology, but also how tangible the results are presented, is Siemens’ work on Future Cities
