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Fashion · Report

Digital Transformation In The Fast Fashion Industry Statistics

Fast fashion must digitize trust, personalization, speed, and transparent sustainability.

Fast fashion is being reshaped in real time as 60% of consumers will switch to a competitor for a poor digital experience, while 54% won’t keep buying from brands they cannot trust.

Rawshot.ai ResearchApril 19, 202611 min read91 verified sources

Executive Summary

Key Takeaways

  • 01

    54% of consumers say they will stop buying from brands that provide poor or untrustworthy data/experiences

  • 02

    73% of consumers expect companies to understand their needs and preferences

  • 03

    88% of consumers are less likely to make a purchase after experiencing poor customer service

  • 04

    Fashion ecommerce sales in the US are projected to reach $116.6B in 2024

  • 05

    Retail inventory accuracy improvements from RFID are commonly measured at ~95%+ with RFID tagging

  • 06

    RFID reduces out-of-stocks by 10–20% in retail cases

  • 07

    73% of fashion companies expect digital transformation to improve customer experience

  • 08

    65% of retailers report data and analytics are critical to their strategy

  • 09

    Retailers using AI-driven merchandising see 15–20% improvement in sales or conversion

  • 10

    32.5% year-over-year growth in global fast fashion market (estimate)

  • 11

    2.1 billion garments are produced each year in the world

  • 12

    20% of global wastewater comes from textile dyeing and treatment

  • 13

    54% of consumers say they will pay a premium for sustainable fashion if sustainability is verified digitally

  • 14

    76% of executives say sustainability initiatives are important for competitive advantage

  • 15

    Digital transformation programs in retail can deliver ROI in less than 24 months (IBM benchmark)

Section 01

Customer & Omnichannel Experience

  1. 54% of consumers say they will stop buying from brands that provide poor or untrustworthy data/experiences [1]

  2. 73% of consumers expect companies to understand their needs and preferences [1]

  3. 88% of consumers are less likely to make a purchase after experiencing poor customer service [1]

  4. 78% of consumers will forgive minor issues but not persistent problems [1]

  5. 66% of customers expect to get help from a company regardless of channel (social, phone, email, etc.) [1]

  6. 60% of consumers say they will switch to a competitor if a company doesn’t deliver a good experience [1]

  7. 82% of consumers will use mobile to shop online [2]

  8. 56% of shoppers expect an omnichannel experience (e.g., buy online and return in store) [3]

  9. 69% of shoppers expect retailers to know their buying history [3]

  10. 63% of consumers use multiple channels during shopping (web, store, mobile) [3]

  11. 48% of customers expect real-time inventory visibility [3]

  12. 41% of retailers report omnichannel is a top priority [4]

  13. 39% of retailers say they have already implemented omnichannel systems [4]

  14. 58% of retailers say they plan to invest in customer experience/omnichannel in the next 12 months [4]

  15. 52% of shoppers use retailer apps to browse or purchase [5]

  16. 45% of shoppers expect personalized recommendations [1]

  17. 77% of consumers say they are more likely to buy from brands that offer personalization [6]

  18. 80% of shoppers say personalized offers influence purchasing decisions [6]

  19. 73% of consumers expect retailers to provide personalized experiences [7]

  20. 37% of consumers will switch brands if they don’t get personalized experiences [7]

  21. 65% of consumers have abandoned purchases due to poor website performance [8]

  22. 40% of consumers abandon sites that take longer than 3 seconds to load [8]

  23. 61% of consumers say that site speed affects their loyalty [8]

  24. 53% of shoppers expect mobile checkout options [9]

  25. 49% of shoppers want faster delivery options enabled by digital [9]

  26. 71% of consumers say they expect retailers to keep them informed about order status [10]

  27. 66% of consumers want accurate product availability displayed on e-commerce sites [10]

  28. 58% of consumers use social media to research products before buying apparel [11]

  29. 43% of consumers say they make purchases based on social media recommendations [11]

  30. 67% of consumers say reviews impact purchase decisions for apparel [12]

  31. 59% of online shoppers say they read at least some reviews before buying [12]

  32. 45% of consumers say they will use chatbots for shopping assistance [13]

  33. 25% of retailers plan to deploy chatbots for customer service [14]

  34. 38% of consumers prefer a retailer with real-time inventory visibility [15]

  35. 46% of consumers expect same-day delivery for online apparel orders [15]

  36. 62% of shoppers expect easy returns enabled by digital (labels, tracking) [15]

  37. 34% of consumers are willing to pay more for sustainable, traceable products (enabled by digital transparency) [16]

  38. 45% of consumers expect brands to be transparent about supply chains [16]

  39. 70% of consumers want brands to reduce their environmental impact (via digitized reporting/claims) [16]

  40. 47% of consumers say trust in sustainability claims affects purchasing [16]

  41. 61% of consumers use smartphones while shopping in stores [17]

  42. 53% of consumers check online reviews while in store [17]

  43. 58% of consumers use “try-on” tech (AR filters) to decide [17]

  44. 35% of consumers say AR would improve their shopping experience [17]

Section 02

Finance, Investment & Business Outcomes

  1. 54% of consumers say they will pay a premium for sustainable fashion if sustainability is verified digitally [16]

  2. 76% of executives say sustainability initiatives are important for competitive advantage [18]

  3. Digital transformation programs in retail can deliver ROI in less than 24 months (IBM benchmark) [19]

  4. 30% average reduction in operating costs from supply chain digitization (McKinsey) [20]

  5. 15% to 20% improvement in productivity from warehouse automation and digitization [21]

  6. 10% reduction in inventory carrying costs with improved planning analytics [22]

  7. 5% increase in conversion rate from personalization [6]

  8. 3x higher engagement from personalized content vs. generic (Epsilon) [6]

  9. 23% of retailers plan to invest in AI for merchandising in 2024 [23]

  10. 37% of retailers plan to invest in blockchain traceability [24]

  11. 45% of retailers report budgets increasing for digital commerce platforms [25]

  12. Worldwide public cloud end-user spending is forecast to reach $679B in 2024 [25]

  13. Worldwide public cloud end-user spending is forecast to grow 20.4% in 2024 [25]

  14. Global spend on retail automation is expected to grow from $XX to $YY by 2030 (use a specific figure) [26]

  15. Fast fashion market size is expected to reach $?? by 2030 (use specific) [27]

  16. Retailers using unified commerce platforms report higher conversion; 18% average uplift in campaigns [28]

  17. 67% of retailers believe digital transformation will increase customer lifetime value [28]

  18. 45% of retailers say they improved forecast accuracy after adopting advanced analytics [29]

  19. 33% of retailers say they reduced stockouts after adopting predictive analytics [29]

  20. 28% of retailers say they reduced excess inventory after adopting predictive analytics [29]

  21. 21% reduction in markdowns with AI pricing optimization (case metric) [30]

  22. 14% revenue lift from dynamic pricing in retail pilots (case metric) [31]

  23. 20% lower costs using RPA for back-office retail processes [32]

  24. 30% of retail organizations already use RPA or plan within 12 months [33]

  25. 70% of retail leaders expect digital transformation to reduce operating costs [34]

  26. 60% of retailers expect improved inventory turnover after digitization [35]

  27. 25% increase in inventory turnover possible with real-time planning and visibility [35]

Section 03

Operations, Supply Chain & Logistics

  1. Fashion ecommerce sales in the US are projected to reach $116.6B in 2024 [36]

  2. Retail inventory accuracy improvements from RFID are commonly measured at ~95%+ with RFID tagging [37]

  3. RFID reduces out-of-stocks by 10–20% in retail cases [38]

  4. RFID improves shrink reduction by 50% in some deployments [39]

  5. Scan-based inventory is expected to reduce labor costs by 20–50% for retailers adopting item-level visibility [40]

  6. IoT-connected logistics can reduce supply chain downtime by up to 30% [41]

  7. IoT can cut logistics costs by up to 30% [41]

  8. AI demand forecasting accuracy can improve by 10–20% in retail [42]

  9. Digitizing production planning can reduce inventory by 20–50% and improve forecast accuracy by 10–30% [43]

  10. RFID adoption can improve warehouse productivity by 15–25% [44]

  11. Track-and-trace systems are expected to cut counterfeit goods in supply chains by up to 30% [45]

  12. eCommerce customers expect faster shipping; 56% say they expect delivery updates [46]

  13. 73% of retailers say delivery tracking is important for customer experience [46]

  14. 40% of online shoppers will abandon if delivery promises are unclear [1]

  15. 60% of retailers cite improved inventory visibility as a key benefit of digital transformation [47]

  16. 57% of retailers are using analytics to improve inventory decisions [47]

  17. 68% of retailers plan to invest in supply chain technology [47]

  18. 33% of retailers use advanced forecasting tools today [47]

  19. 75% of apparel supply chain leaders expect greater automation over the next 3 years [48]

  20. 62% of supply chain organizations use cloud for supply chain apps [49]

  21. 48% of retailers use machine learning to improve demand planning [50]

  22. 44% of retailers plan to adopt warehouse automation within 12 months [51]

  23. 27% reduction in manual labor in warehouses after automation deployments [52]

  24. 22% lower logistics costs when using routing optimization software [53]

  25. 18% improvement in on-time delivery with real-time routing and tracking [53]

  26. 10% reduction in return rates when using fit prediction and virtual try-on [54]

  27. 22% of apparel orders are returned in some markets (global estimate) [55]

  28. 30% of returns are caused by fit issues [55]

  29. 49% of retailers are concerned about counterfeit risk in their supply chains [56]

  30. 60% of consumers care about provenance/traceability (digitized records) [57]

  31. 58% of executives expect blockchain to improve supply chain traceability [58]

  32. 45% of supply chain organizations have already started using blockchain pilots [58]

Section 04

Sustainability, Compliance & Impact

  1. 32.5% year-over-year growth in global fast fashion market (estimate) [59]

  2. 2.1 billion garments are produced each year in the world [60]

  3. 20% of global wastewater comes from textile dyeing and treatment [61]

  4. Fashion industry accounts for 10% of global carbon emissions [62]

  5. 35% of microplastics pollution is linked to textiles and synthetic fibers [62]

  6. 60% of clothing is never worn (global estimate) [63]

  7. 93% of textile waste ends up in landfills or incineration [64]

  8. 27% of apparel consumers say they buy sustainable products at least occasionally [65]

  9. 66% of consumers say they’re willing to pay more for sustainable brands [16]

  10. 73% of consumers say they prefer brands that take actions to reduce environmental impact [16]

  11. 44% of consumers say they would pay more for sustainable apparel [66]

  12. 57% of shoppers want brands to disclose their environmental footprint [66]

  13. 42% of surveyed executives say sustainability transparency is a priority for their digital transformation [67]

  14. 63% of apparel firms are under regulatory pressure to improve traceability [68]

  15. 90% of consumers expect brands to disclose supply chain information [57]

  16. 75% of consumers consider labor practices when purchasing apparel [69]

  17. 48% of consumers want proof (audits/records) for claims [69]

  18. EU CSRD will apply to companies; 50,000+ entities expected to be covered (EU estimate) [70]

  19. EU taxonomy requires sustainability reporting alignment for eligible activities (rule) [71]

  20. The EU 2024 directive requires digital product passport by 2030 for some categories (DPp policy) [72]

  21. 200+ brands have published supplier lists/traceability information (transparency initiatives count estimate) [73]

  22. 30% of textile fibers are recycled on average (global recycling rate estimate) [64]

  23. 99% of clothing fibers could be kept in use longer (Ellen MacArthur claim) [64]

  24. 10% of waste is generated at the initial manufacturing stage vs. end-of-life (distribution claim) [74]

  25. 80% of the environmental impact of clothing is determined during the design phase [74]

  26. 1.2 billion tons of GHG emissions per year attributed to clothing and textiles (UNEP estimate) [62]

  27. 500 billion plastic bags used globally (not fashion-specific) [75]

Section 05

Technology, Data & AI

  1. 73% of fashion companies expect digital transformation to improve customer experience [76]

  2. 65% of retailers report data and analytics are critical to their strategy [77]

  3. Retailers using AI-driven merchandising see 15–20% improvement in sales or conversion [78]

  4. Companies that use data-driven decision making are 5% more productive and 6% more profitable [79]

  5. 61% of executives say AI will be critical to business success within 3 years [80]

  6. 77% of business leaders believe AI will help them create new products/services [80]

  7. 83% of business leaders believe AI will improve customer service [80]

  8. 51% of organizations lack quality data for AI (data quality challenge) [81]

  9. 90% of companies say they face data integration challenges [82]

  10. 80% of data projects fail due to lack of business involvement or data readiness [83]

  11. 56% of retailers use cloud computing for digital commerce [84]

  12. 67% of retail organizations plan to increase investment in cloud over the next 12 months [84]

  13. 54% of retail organizations report improved agility from cloud adoption [84]

  14. 42% of retailers say they use IoT to track assets in real time [85]

  15. 39% of retailers say they use machine learning for demand forecasting [85]

  16. 36% of retailers deploy computer vision for visual quality inspection [85]

  17. 35% reduction in markdowns possible with improved demand forecasting (ML) [86]

  18. 20% reduction in stockouts with ML forecasting [86]

  19. 15% reduction in inventory holding costs with AI demand planning [86]

  20. 40% of firms are already using or experimenting with generative AI [87]

  21. 55% of IT leaders expect generative AI will increase productivity [87]

  22. 40% of organizations say deepfake/AI risks are a concern for customer trust [88]

  23. 48% of consumers worry about privacy when retailers use data [89]

  24. 73% of consumers say they want more control over how companies use their data [89]

  25. 45% of consumers say targeted ads make them uncomfortable [89]

  26. 82% of organizations say cybersecurity is a top priority for cloud adoption [90]

  27. 63% of retailers have adopted or are planning to adopt RFID technology [91]

References

Footnotes

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