Taste and temporality: The rise of AI trend forecasting

References

1. Adam, Barbara (2006), ‘Time’, Theory, Culture & Society, 23:2–3, pp. 119–26, https://doi.org/10.1177/0263276406063779.
   [Google Scholar]
2. Bain, Marc (2024), ‘After months of designing with AI, Norma Kamali isn’t looking back’, Business of Fashion, 2 October, https://www.businessoffashion.com/articles/technology/after-months-of-designing-with-ai-norma-kamali-isnt-looking-back/. Accessed 6 June 2025.
3. Barad, Karen (2007), Meeting the Universe Halfway: Quantum Physics and the Entanglement of Matter and Meaning, Durham, NC: Duke University Press.
   [Google Scholar]
4. Bauman, Zygmunt (2010), ‘Perpetuum mobile’, Critical Studies in Fashion & Beauty, 1:1, pp. 55–63, https://doi.org/10.1386/csfb.1.1.55_1.
   [Google Scholar]
5. Benjamin, Andrew (2006), Style and Time: Essays on the Politics of Appearance, Evanston, IL: Northeastern University Press.
   [Google Scholar]
6. Biehlmann, Priscille (2023), ‘“You’ve got to be data-driven”: The fashion forecasters using AI to predict the next trend’, The Guardian, 1 October, https://www.theguardian.com/technology/2023/oct/01/ai-artificial-intelligence-fashion-trend-forecasting-style. Accessed 6 June 2025.
   [Google Scholar]
7. Blaszczyk, Regina L. and Wubs, Benjamin (eds) (2018), The Fashion Forecasters: A Hidden History of Color and Trend Prediction, London: Bloomsbury Visual Arts.
   [Google Scholar]
8. Buquet, Angela (2025), e-mail to Gwyneth Holland, 22 May.
9. Camargo, Lucas R., Pereira, Susana C. F. and Scarpin, Marcia R. S. (2020), ‘Fast and ultra-fast fashion supply chain management: An exploratory research’, International Journal of Retail & Distribution Management, 48:6, pp. 537–53, https://doi.org/10.1108/ijrdm-04-2019-0133.
   [Google Scholar]
10. Chan-Danisi, Angela (2025), ‘How Cheryl Liu’s Raspberry AI cuts fashion design time and cost in half’, Forbes, 21 May, https://www.forbes.com/sites/angelachan/2025/05/21/how-cheryl-lius-raspberry-ai-cuts-fashion-design-time-and-cost-in-half. Accessed 6 June 2025.
11. Criales-Unzueta, José (2025), ‘What’s behind fashion’s new uniform?’, Vogue Business, 27 February, https://www.voguebusiness.com/story/fashion/whats-behind-fashions-new-uniform. Accessed 25 June 2025.
    [Google Scholar]
12. Divita, Lorynn (2019), Fashion Forecasting, New York: Bloomsbury Academic.
    [Google Scholar]
13. Edelson, Sharon (2025), ‘Raspberry AI launches new tools to accelerate creative workflows’, Forbes, 27 March, https://www.forbes.com/sites/sharonedelson/2025/03/27/raspberry-ai-launches-new-tools-to-accelerate-creative-workflows/. Accessed 6 June 2025.
14. Entwistle, Joanne (2009), The Aesthetic Economy of Fashion: Markets and Value in Clothing and Modelling, London: Berg.
    [Google Scholar]
15. Evans, Caroline and Vaccari, Alessandra (2020), Time in Fashion, London: Bloomsbury Publishing.
    [Google Scholar]
16. Francombe, Amy (2025), ‘Why fashion can’t stop reissuing its 2000s-era hits’, Vogue Business, 22 April, https://www.voguebusiness.com/story/fashion/why-fashion-cant-stop-reissuing-its-2000s-hits. Accessed 6 June 2025.
17. Garcia, Clarice C. (2022), ‘Fashion forecasting: An overview from material culture to industry’, Journal of Fashion Marketing and Management, 26:3, pp. 436–51, https://doi.org/10.1108/jfmm-11-2020-0241.
    [Google Scholar]
18. Garcia, Clarice C. (2023), ‘Fashion futuring: Intertwining speculative design, foresight and material culture towards sustainable futures’, Futures, 153, pp. 1–15, https://doi.org/10.1016/j.futures.2023.103242.
    [Google Scholar]
19. Godart, Frederic (2012), Unveiling Fashion: Business, Culture, and Identity in the Most Glamourous Industry, Basingstoke: Palgrave Macmillan.
    [Google Scholar]
20. Goldsworthy, Kate, Earley, Rebecca and Politowicz, Kay (2018), ‘Circular speeds: A review of fast and slow sustainable design approaches for fashion and textile applicationns’, Journal of Textile Design Research and Practice, 6:1, pp. 42–65, https://doi.org/10.1080/20511787.2018.1467197.
    [Google Scholar]
21. Greene, Marla (2023), A Buyer’s Guide to Retail Mathematics, New York: Fairchild Books.
    [Google Scholar]
22. Guercini, Simone and Ranfagni, Silvia (2012), ‘Creation of fashion trends and role of the bureau de style for textile innovation’, Journal of Global Fashion Marketing, 3:1, pp. 12–21, https://doi.org/10.1080/20932685.2012.10593103.
    [Google Scholar]
23. Hagel, Caia (2024), ‘Have internet algorithms ruined our individual sense of style?’, Elle Canada, 17 September, https://www.ellecanada.com/fashion/trends/internet-fashion-trends-algorithm-sense-of-style. Accessed 25 June 2025.
24. Heuritech (2025), ‘Fashion forecasting: Anticipate trends to stay competitive’, Heuritech, 9 April, https://heuritech.com/articles/fashion-forecasting/#:~:text=Heuritech’s%20algorithm%20boasts%20an%20impressive,reacting%20to%20short%2Dlived%20fads. Accessed 6 June 2025.
25. Heuritech (n.d.), ‘Case studies and market trends insights’, Heuritech, https://heuritech.com/cases-studies/. Accessed 6 June 2025.
26. Hobbs, Julia (2024), ‘From mob wife to coastal grandma … Why do we all dress the same?’, Vogue, 23 May, https://www.vogue.co.uk/article/fashion-trends-going-viral. Accessed 25 June 2025.
27. Holland, Gwyneth and Jones, Rae (2017), Fashion Trend Forecasting, London: Laurence King Publishing.
    [Google Scholar]
28. Kennedy, Joan (2024), ‘WGSN launches AI-driven platform for buyers’, Vogue Business, 5 August, https://www.businessoffashion.com/news/retail/wgsn-launches-ai-driven-platform-for-buyers/. Accessed 6 June 2025.
29. Lantz, Jenny (2018), The Trendmakers: Behind the Scenes of the Global Fashion Industry, London: Bloomsbury Academic.
    [Google Scholar]
30. LeBosse, Julia (2024), ‘Why are sneaker collaborations so boring?’, Business of Fashion, 18 December, https://www.businessoffashion.com/articles/retail/why-are-sneaker-collaborations-so-boring/. Accessed 25 June 2025.
31. Les Mains Bleues (2025), ‘Les Mains Bleues unveils Trend Engine+, an AI-powered market intelligence tool for denim and apparel brands’, Business Wire, 8 April, https://www.businesswire.com/news/home/20250407592411/en/Les-Mains-Bleues-Unveils-Trend-Engine-an-AI-Powered-Market-Intelligence-Tool-for-Denim-and-Apparel-Brands. Accessed 6 June 2025.
32. Powers, Devon (2020), On Trend: The Business of Forecasting the Future, Urbana, IL: University of Illinois Press.
    [Google Scholar]
33. Puma (2024), ‘Puma’s innovative inverse sneaker was designed with aid from artificial intelligence’, Puma, 3 December, https://about.puma.com/en/newsroom/product-and-brand-news/2024/03-12-2024-pumas-innovative-inverse-sneaker-was-designed-aid. Accessed 6 June 2025.
34. Raspberry AI (2025), ‘Generative AI for fashion’, Raspberry AI, https://www.raspberry.ai/. Accessed 6 June 2025.
35. Rocamora, Agnes (2015), ‘New fashion times: Fashion and digital media’, in A. Rocamora and A. Smelik (eds), Thinking through Fashion: A Guide to Key Theorists, London: I. B. Tauris & Company Limited.
    [Google Scholar]
36. Saha, Indranil (2025), ‘How predictive AI is reducing fashion overstock in India’, Fibre2Fashion, May, https://www.fibre2fashion.com/industry-article/10431/how-predictive-ai-is-reducing-fashion-overstock-in-india. Accessed 6 June 2025.
37. Schulz, Madeleine (2023), ‘Personal style is trapped in the algorithm’s echo chamber’, Vogue Business, 7 December, https://www.voguebusiness.com/story/fashion/personal-style-is-trapped-in-the-algorithms-echo-chamber. Accessed 25 June 2025.
38. Schulz, Madeleine (2024), ‘Did micro-trends kill the trend cycle?’, Vogue Business, 12 June, https://www.voguebusiness.com/story/fashion/did-micro-trends-kill-the-trend-cycle. Accessed 6 June 2025.
39. Seara, Javier, Watten, Drake, Garro, Andres, Hap, Nestor, Rohrhofer, Stefan, Schmittecker, Lisa, Kurbay, Asli and Lee, Pamela (2022), ‘The future of fashion sourcing’, BCG, 12 September, https://www.bcg.com/publications/2022/the-future-of-fashion-sourcing. Accessed 6 June 2025.
40. Shi, Mengyun, Chussid, Cali, Yang, Pinyi, Jia, Menglin, Lewis, Van Dyk and Cao, Wei (2021), ‘The exploration of artificial trend intelligence application in fashion trend forecasting’, Textile Research Journal, 91:19–20, pp. 2357–86, https://doi.org/10.1177/00405175211006212.
    [Google Scholar]
41. Singh, Pooja, Jaiswal, Shalini, Srivastava, Shalini, Azad, Murari L., Mishra, Verknika and Nautiyal, Anshika (2024), ‘Fashion forward: Exploring the influence of AI on modern fashion trends’, in 2024 7th International Conference on Contemporary Computing and Informatics (IC3I), Greater Noida, India, 18–20 September, Red Hook, NY: Curran Associates, pp. 864–69 https://doi.org/10.1109/ic3i61595.2024.10829054.
    [Google Scholar]
42. Stylumia (n.d.), ‘Predict true demand and get it right every time’, Stylumia, https://www.stylumia.ai/our-solutions/apollo/. Accessed 6 June 2025.
43. Van Gastel, Tanya (2023), ‘AI’s role as fashion design assistant: Tommy Hilfiger, AI Fashion Week, and Text-to-Design’, Jing Daily, 18 July, https://jingdaily.com/posts/artificial-intelligence-fashion-design-assistant-tommy-hilfiger-midjourney. Accessed 6 June 2025.
44. Vinken, Barbara (2005), ‘Adorned in zeitgeist’, in B. Vinken (ed.), Fashion Zeitgeist: Trends and Cycles in the Fashion System, Oxford: Berg, pp. 41–60.
    [Google Scholar]
45. Walmart (2025), ‘In an ever-changing environment, Walmart uses GenAI to create cool for customers’, Walmart, 9 April, https://corporate.walmart.com/news/2025/04/09/in-an-ever-changing-environment-walmart-uses-genai-to-create-cool-for-customers. Accessed 6 June 2025.
46. Wright, Georgia (2025), ‘The Shein effect: Is fashion stuck in a race to the bottom?’, Retail Gazette, 14 April, https://www.retailgazette.co.uk/blog/2025/04/the-shein-effect/. Accessed 6 June 2025.
47. Zimand-Sheiner, Dorit and Lissitsa, Sabina (2024), ‘Generation Z: Factors predicting decline in purchase intentions after receiving negative environmental information: Fast fashion brand SHEIN as a case study’, Journal of Retailing and Consumer Services, 81, pp. 1–10, https://doi.org/10.1016/j.jretconser.2024.103999.
    [Google Scholar]