From the Sector

With global consumers becoming more conscious about personal hygiene and environmental protection, exhibitors at Cinte Techtexil China will spotlight materials and technologies for products that respond to these trends. The fair will probe into the associated growth opportunities as the country is one of the leading markets for nonwovens and technical textiles. The event will be held from 6 – 8 September at the Shanghai New International Expo Centre.

The technical textiles and nonwovens industries, the latter notably, are significantly expanding amid the pandemic. A recent forecast[1] predicts that the global polypropylene nonwoven fabric market will continue to rise at a CAGR of 6.7%, reaching USD 39.23 billion by 2028. The anticipated growth is bolstered by demands in end-use industries such as sanitation, medical, automotive and more. In 2020, Asia Pacific was named the largest regional market in the world and is expected to grow significantly over the forecasted period.

The prediction reaffirms the growth prospects of nonwovens. In this regard, industry players expressed much optimism about associated future opportunities during Cinte Techtextil China last year. “The field of nonwovens is poised for a positive growth as the awareness of personal hygiene and pandemic prevention sustains in the domestic market,” commented Mr James Gao, Head of Marketing and Textile Technologies, Uster Technologies (China) Co Ltd. He added: “We decided to join the fair and showcase our new launches as we remain confident in the future development of the industry, especially since China is dominating the global scene.”

Going green is the way forward
Turning to yarns and fibres, the sector is shifting to greener and smarter production that echoes the trend towards sustainability that is gaining considerable traction across the globe. Meanwhile in China, this movement was observed by many exhibitors at the 2021 edition, including Mr Roberto Galante, Plant Manager of FMMG Technical Textiles (Suzhou) Co Ltd, the Chinese subsidiary of the Fil Man Made Group. He mentioned: “The market is paying more attention to environmental protection, and we receive enquiries about special yarns for this every day. We focus on technical yarns for filtration as well as anti-bacterial properties, which are very important for the environment. The potential here in China is incredible and this is a big opportunity for everybody.”

Cinte Techtextil China’s product categories cover 12 application areas, which comprehensively span across a full range of potential uses in modern technical textiles and nonwovens. These categories also cover the entire industry, from upstream technology and raw material providers to finished fabrics, chemicals and other solutions. This scope of product groups and application areas ensures that the fair is an effective business platform for the entire industry.

• 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.