From the Sector

The testing service provider and research partner Hohenstein is joining the Innovation Park for Artificial Intelligence (IPAI) in Heilbronn. There are already points of contact with AI applications in some interdisciplinary research projects. In addition, there is the cooperation with the Munich-based start-up Sizekick and its AI-based technology for size recommendations, which aims to reduce size-related returns in online fashion retail.

"We expect the connection to the IPAI AI network to provide us with valuable impulses to remain fit for the future," explains Hohenstein CEO Dr. Timo Hammer, "This unique platform brings together a wide variety of players with their experience and knowledge. New ideas, projects and even products can be generated with great dynamism in the network as an intelligent response to future requirements. Because one thing is clear - artificial intelligence is THE key technology of the future".

The Innovation Park for Artificial Intelligence (IPAI) in Heilbronn (www.ip.ai) sees itself as an innovation platform for applied AI and a German lighthouse project with international appeal. The center is intended to map the entire AI value chain, from the qualification of specialists to the application of ethically responsible AI. The aim is to use the AI ecosystem to bring together companies, start-ups, research institutions, scientists, and public institutions and to secure Germany's digital independence and competitiveness in a key future technology.

The current energy crisis is impacting on the competitiveness of the European textile and clothing industry. Because there are limited alternatives to the use of gas in different parts of the production process, production costs increase sharply. EURATEX asks the European Commission and Member States to urgently support the industry to avoid company closures. At the same time, we need a long term vision to move towards climate neutrality, while keeping the T&C industry internationally competitive.

EURATEX presented ten key requirements to Kadri Simson, European Commissioner for Energy, to develop such a vision:

1. The apparel and textile industry needs a safe supply with sufficient green energy (electricity and gas) at internationally competitive prices.
2. The transformation of industry requires access to very significant amounts of renewable energy at competitive costs. Additional investments in infrastructure will also be needed to guarantee access to new renewable energy supplies.
3. Until a global (or at least G 20 level) carbon price or other means for a global level playing field in climate protection are implemented, competitive prices for green energy must be granted at European or national levels (e.g. CCfDs, reduction on levies, targeted subsidies).
4. As the European textile and clothing sector faces global competition mainly form countries/regions with less stringent climate ambitions, it is of utmost importance that the European textile and clothing companies are prevented form direct and indirect carbon leakage.
5. EU-policy should support solutions, e.g. through targeted subsidies (for hydrogen, energy grids, R&D, technology roadmap studies etc.).
6. A dedicated approach for SMEs might be appropriate as SMEs do not have the skills/know-how to further improve their energy efficiency and/or becoming carbon neutral.
7. CAPEX and OPEX support will be necessary for breakthrough technologies, like hydrogen.
8. The Fit-for-55-Package must support the European Textile and Clothing industry in decarbonization and carbon neutrality. The EU must therefore advocate a global level playing field more than before. The primary goal must be to establish an internationally uniform, binding CO2 pricing, preferably in the form of a standard at G-7 / G-20 level.
9. EU-policy must not hinder solutions, e.g. we need reasonable state aid rules (compensating the gap between national energy or climate levies and a globally competitive energy price should not be seen as a subsidy).
10. The European Textile and Clothing industry has made use of economically viable potentials to continuously improve energy efficiency over many years and decades. The obligation to implement further measures must be taken considering investment cycles that are in line with practice. Attention must be paid to the proportionality of costs without weakening the competitive position in the EU internal market or with competitors outside the EU.

Please see the attached position paper for more information.

• Amazon, EasySize, Evo Pricing and Lectra explored diverse uses for customer data during a round table event organized by the ESCP Europe - Lectra ‘Fashion & Technology’ Chair Paris

Lectra, the world leader in integrated technology solutions dedicated to industries using fabrics, leather, technical textiles and composite materials, the French business school ESCP Europe and their joint ‘Fashion & Technology’ Chair examined the multiple ways the fashion industry’s ecosystem can use customer data, during a recent round table event at the start of the fifth Fashion Tech Week in Paris.

Elise Beuriot, senior category leader, EU Luggage, Amazon, Olivier Dancot, VP of data, Lectra, Fabrizio Fantini, founder and CEO, Evo Pricing, and Gulnaz Khusainova, founder and CEO, Easysize, agreed straight away on one key point: the analysis of customer data lends itself to limitless applications along the entire fashion value chain. Its impact is immense, whether in terms of customer satisfaction, competitiveness, revenues or waste limitation.

As early as the design phase, a wealth of data offers many sources of inspiration for stylists. For teams in charge of collections, “complex models allow the analysis of data like online traffic and purchase history in order to design and offer the products that consumers expect, which is a priority for a company obsessed by the customer, like Amazon,” stated Elise Beuriot. For sales, “decisions based on data trigger millions of orders. The impact on the inventory is enormous,” she added.

“Fashion is an industry where unsold items generate a lot of waste. Algorithms and big data analysis can reduce left-overs by anticipating demand several weeks ahead in order to optimize the price and replenishment,” observed Fabrizio Fantini. “Fashion companies who exploit data to inform their decisions become more efficient. They are better armed to protect their margins, but can also sell for less, and potentially reach a larger number of consumers.”

Other IT models aggregate customer data in real time ‘to determine, among hundreds of factors, those which have the biggest influence on buying decisions. Value doesn’t necessarily lie in the volume of data but in the depth of the analyses,’ claimed Gulnaz Khusainova. Easysize is careful that collected data is anonymous, she underlined, because ‘consumers need to keep control of their data, and know how it is used’.
For editors of software dedicated to fashion businesses, and suppliers of cutting machines designed for the clothing industry, “analyzing usage data from our solutions enables the offer to evolve, making each step in the value chain more efficient and perfectly adapted to the needs of the brands, retailers and manufacturers. What is at stake is better quality products, placed on the market as quickly as possible and at a reduced cost,” explained Olivier Dancot.

“It is easy to collect data, but difficult to extract actionable information. Everything hinges on data analysis,” concluded Céline Abecassis-Moedas, professor and co-scientific director of the ‘Fashion & Technology’ Chair and moderator of the round table. “Due to its emotional dimension—from the stylist’s inspiration to the consumer’s desire to buy—fashion is not an industry like others. However, all the components that make up its ecosystem can truly benefit from the judicious exploitation of customer data. Examples discussed this evening illustrate the diversity of what is possible.