Digital Transformation In The Fashion Retail Industry Statistics
Fashion retailers must modernize shipping, AI and inventory data to deliver real time experiences and personalization.
Digital transformation is reshaping fashion retail for online and omnichannel shoppers—especially around delivery visibility and returns. Consumers expect shipment tracking, shipping-speed options, and easy return experiences, while retailers respond with AI, better data quality, and connected systems. This page connects those customer expectations to the operational changes driving personalization, revenue impact, and inventory accuracy—using AI, IoT, and RFID where relevant.
Written byAlexander EserCo-Founder, Rawshot.ai
Executive Summary
Key Takeaways
Fashion retailers must modernize shipping, AI and inventory data to deliver real time experiences and personalization.
71% of online shoppers expect to receive shipment updates
44% of consumers will abandon an e-commerce purchase if delivery costs are too high
40% of shoppers want more options for shipping speed
57% of retailers expect to invest in AI for customer experience within 12 months
84% of business leaders say AI is important to their organizations’ strategy
60% of retailers plan to implement AI in customer service
77% of retailers say data quality challenges impact personalization efforts
49% of retailers cite difficulty integrating online and offline data
62% of retailers say they lack real-time inventory visibility
83% of organizations expect IoT to improve operational efficiency
60% of retailers are piloting RFID/IoT for inventory
22% of retailers already use RFID for inventory
73% of consumers expect personalization from retailers
76% of consumers say they would like to receive marketing offers based on their shopping preferences
61% of consumers say they trust product information more when it is personalized
Section 01
Supply Chain Transparency & Fulfillment
71% of online shoppers expect to receive shipment updates [1]
44% of consumers will abandon an e-commerce purchase if delivery costs are too high [2]
40% of shoppers want more options for shipping speed [3]
50% of shoppers expect same-day delivery where available [4]
15% decrease in order cancellation with automated replenishment [5]
10-20% inventory reduction via demand forecasting [6]
20% improvement in forecast accuracy using machine learning [7]
35% of retailers are using predictive analytics for demand planning [8]
60% of supply chain leaders use analytics [9]
47% of retailers say out-of-stocks are a major loss driver [10]
4% of retail sales are lost due to out-of-stocks [11]
6% of retail sales are lost to overstock and clearance [12]
85% of retailers plan to invest in supply chain technology [13]
42% of shoppers say they want to check order status themselves [14]
38% of retailers provide in-app tracking [15]
41% of retail customers expect faster shipping [16]
24% of retailers use blockchain for supply chain traceability pilots [17]
60% of consumers want brands to be transparent about sourcing [18]
70% of consumers are willing to pay more for sustainable fashion if claims are verified [19]
38% of fashion customers consider sustainability when making purchases [20]
56% of apparel brands plan to improve sustainability reporting via digital tech [21]
65% of retailers say they want to reduce emissions through better planning [22]
15% faster cycle times in planning with digital systems [23]
40% of retailers use demand forecasting for replenishment [24]
20% improvement in on-time in-full (OTIF) with integrated planning [25]
25% of retailers have deployed WMS or TMS upgrades as part of transformation [26]
10% reduction in delivery lead times with predictive routing [27]
25% improvement in last-mile delivery efficiency with route optimization [28]
12% of retailers use sustainability analytics tools [29]
46% of consumers want carbon footprint info at checkout [30]
Section 02
Ai, Automation & Retail Tech
57% of retailers expect to invest in AI for customer experience within 12 months [31]
84% of business leaders say AI is important to their organizations’ strategy [32]
60% of retailers plan to implement AI in customer service [33]
52% of retailers expect AI to have a strong impact on their revenue [34]
38% of retailers use AI today [35]
70% of retailers have a digital transformation roadmap [36]
49% of retailers use automation to streamline operations [37]
58% of retailers are investing in automation tools [38]
35% of retailers using automation report reduced labor costs [39]
33% of consumers say automated customer service (chatbots) is convenient [40]
30% of customer service interactions can be handled by chatbots [41]
25% improvement in markdown optimization with AI [42]
49% of retailers cite labor constraints as a barrier to digital transformation [43]
43% of retailers use AI for product recommendations [44]
37% of retailers use AI to optimize pricing [45]
28% of retailers use AI for fraud prevention [46]
25% of retailers use chatbots for customer support [47]
78% of retailers plan to use computer vision in 2020-2022 [48]
16% of retailers have implemented facial recognition for personalization [49]
10-15% productivity increase with mobile workforce management in retail [50]
75% of retailers say digital transformation affects their strategy [51]
30% of retailers use digital merchandising tools for assortments [52]
25% improvement in merchandising productivity with AI [53]
20% reduction in markdowns with AI pricing [54]
15% revenue uplift from optimized assortments [55]
33% of fashion retailers use recommendation engines [56]
28% of retailers are using AI-driven trend forecasting [57]
33% reduction in warehouse labor with warehouse automation [58]
18% of retailers have deployed robotics in warehouses [59]
60% of retailers say automation improves accuracy [60]
Section 03
Data, Governance & Measurement
77% of retailers say data quality challenges impact personalization efforts [61]
49% of retailers cite difficulty integrating online and offline data [62]
62% of retailers say they lack real-time inventory visibility [63]
45% of retail organizations lack the analytics skills needed [64]
80% of marketers believe data is critical, but only 8% consider it high quality [65]
71% of executives say they need better data governance [66]
53% of retailers say they have siloed data [67]
58% of retailers report that privacy regulations constrain their analytics [68]
46% of retailers plan to improve data integration over the next 12 months [69]
67% of retailers track customer behavior across channels [70]
56% of retailers say lack of customer data prevents growth [71]
41% of retailers have not yet implemented a customer data platform (CDP) [72]
28% of retailers say inventory visibility is their top challenge [73]
30% of retailers have implemented real-time inventory tracking [74]
44% of retailers expect fraud and chargebacks to rise without digital controls [75]
50% of retailers have a dedicated digital transformation team [76]
36% of retail executives say transformation is behind schedule [77]
45% of retail CIOs prioritize integration of legacy systems [78]
26% of retailers use cloud-first strategies for transformation [79]
30% reduction in IT costs after cloud migration for retailers [80]
22% of retailers experienced data breaches [81]
60% of organizations adopt microservices for faster deployments [82]
32% of retailers have implemented a data lake [83]
27% of retailers use a warehouse for analytics [84]
18% of retailers use a CDP as of 2020 [85]
52% of retailers use supplier scorecards digitally [86]
39% of fashion retailers use PLM (product lifecycle management) systems [87]
67% of consumers expect real-time inventory availability [88]
50% of retailers use analytics to manage inventory in near real time [89]
28% of retailers measure customer lifetime value (CLV) digitally [90]
Section 04
Iot, Connected Devices & Store Technologies
83% of organizations expect IoT to improve operational efficiency [91]
60% of retailers are piloting RFID/IoT for inventory [92]
22% of retailers already use RFID for inventory [93]
15% reduction in inventory shrink with RFID adoption [94]
90% accuracy for RFID inventory tracking [95]
30% improvement in inventory accuracy using RFID systems [96]
48% of retailers are using kiosks in-store to help customers [97]
67% of retail shoppers have used a self-checkout system [98]
29% of shoppers use mobile apps to check in-store inventory [99]
36% of retailers use beacons in stores to send offers [100]
25% of retailers plan to add smart mirrors [101]
20% of fashion retailers use AR for product visualization [102]
74% of shoppers say AR could help them make more confident purchases [103]
21% of shoppers would consider buying using AR features [104]
54% of retailers expect AR to impact sales within 2 years [105]
38% of retailers plan to use voice assistants [106]
50% of consumers are interested in voice shopping for reordering items [107]
70% of retailers will adopt RFID by 2025 [108]
61% of marketers say AR improves customer engagement [87]
24% of retailers use computer vision for inventory counting [109]
70% of shoppers are willing to try wearable tech if it helps shopping [110]
30% of retailers have adopted mobile POS [111]
21% of retailers use digital signage [112]
18% reduction in time to find merchandise with smart systems [113]
15% reduction in checkout time from self-checkout [114]
11% of retailers say AR increased conversion [115]
35% of retailers use RFID for case-level tracking [116]
50% of retailers use barcode scanning in operations [117]
65% of in-store transactions now use mobile payments [111]
Section 05
Customer Expectations & Personalization
73% of consumers expect personalization from retailers [118]
76% of consumers say they would like to receive marketing offers based on their shopping preferences [119]
61% of consumers say they trust product information more when it is personalized [120]
63% of shoppers expect retailers to keep track of their preferences and purchase history [121]
57% of consumers say they want retailers to know their purchase history [122]
78% of customers are more likely to repurchase when personalization is used [123]
79% of consumers have been impacted by a personalized ad they saw online [124]
65% of respondents say they are willing to share personal information in exchange for personalized experiences [125]
52% of fashion consumers have shopped online in the last month [126]
40% of retailers use personalization to increase conversion rate [127]
14% uplift in conversion from personalization [128]
9% increase in revenue from personalization [129]
62% of fashion customers use social media to discover products [130]
30% of shoppers have purchased through social media [131]
50% of retailers say visual search would improve discovery [132]
30% of fashion shoppers use visual search [133]
20% higher average order value from personalized recommendations [134]
74% of consumers are likely to purchase from brands they find online [135]
46% of consumers use search to compare products before purchase [136]
35% of retailers say social commerce is increasing sales [137]
60% of fashion marketers use influencer marketing [138]
27% of retailers attribute growth to social media campaigns [139]
15% reduction in acquisition costs with better personalization [140]
1 in 3 consumers wants retailers to use AI to tailor offers [141]
Section 06
Industry Overview
69% of consumers consider returns policy important when choosing where to shop [142]
73% of consumers want to be able to return items easily [143]
64% of consumers say they are more likely to buy online if returns are free [144]
41% of consumers say they would return more often if returns were easier [145]
80% reduction in time spent on returns processing with automation [146]
24% of retailers have implemented virtual try-on [147]
36% of fashion shoppers are interested in virtual try-on [148]
25% reduction in returns after virtual try-on pilots [149]
20% decrease in return rates from improved size recommendations [150]
44% of returns are due to fit/size issues [151]
33% of shoppers say they return items because they can’t tell how they fit [152]
70% of customers expect to try on items before buying online [153]
15% reduction in returns with better product content and imagery [154]
45% of retailers say digital product content affects conversion [155]
63% of online shoppers expect free returns [156]
24% of fashion returns are resold; remaining are not [111]
12% of online shoppers return purchases [157]
17% increase in e-commerce returns due to more online shopping [158]
8% of revenue lost to returns in fashion e-commerce [159]
23% of retailers say virtual try-on reduced returns [160]
26% of fashion consumers want more accurate sizing tools [161]
45% of online shoppers use sizing charts [162]
29% of consumers are dissatisfied with size charts accuracy [163]
72% of consumers expect size data to be more personalized [164]
88% of consumers expect retailers to provide consistent experiences across channels [165]
70% of shoppers who have a negative experience with a brand are likely to stop shopping with that brand [166]
86% of consumers say the experience a company provides is as important as its products [167]
45% of shoppers use mobile to search for products in-store [168]
34% of consumers have used a retailer’s app to redeem discounts [169]
83% of shoppers say they want to shop with retailers that provide a seamless online and offline experience [170]
References
Footnotes
- 1imsworldwide.com
- 2nosto.com
- 3shipbob.com
- 4ups.com×2
- 5automationworld.com×2
- 6gartner.com×9
- 7supplychainbrain.com×2
- 8www2.deloitte.com×13
- 9cscmp.org
- 10nielsen.com×4
- 11prnewswire.com×2
- 12apqc.org
- 13businesswire.com×2
- 14forrester.com×3
- 15retaildive.com×2
- 20bcg.com
- 21mckinsey.com×7
- 22supplychaindive.com
- 25kinaxis.com×2
- 26logiwa.com
- 27ibm.com×8
- 28samsara.com
- 33lithium.com
- 34salesforce.com×9
- 35ey.com
- 37i-scoop.eu
- 39automationanywhere.com
- 44oracle.com
- 45forbes.com
- 46sas.com×2
- 48rolandberger.com
- 49pwc.com×5
- 52vendavo.com
- 53abelto.com
- 56klarna.com
- 58intralogisticsglobal.com
- 59therobotreport.com
- 61tableau.com×2
- 67sisense.com
- 68deloitte.com
- 70adobe.com
- 73informatica.com
- 74businessinsider.com×2
- 75nrf.com×6
- 77capgemini.com×5
- 80microsoft.com
- 81verizon.com
- 82nginx.com
- 92aidatool.com
- 93stylus.com
- 94gs1.org×2
- 95rfidjournal.com×2
- 96raconteur.net
- 97pymnts.com
- 100emarketer.com×2
- 101retailtouchpoints.com
- 102g2.com×2
- 103shopify.com×2
- 104snap.com
- 107voicebot.ai
- 109sciencedirect.com×2
- 111statista.com×2
- 112ysolutions.com
- 113vandrico.com
- 115allerin.com
- 117adesso.com
- 123redpointglobal.com
- 124experian.com
- 125cisco.com
- 127optimizely.com
- 129hbr.org
- 132bigcommerce.com
- 134criteo.com
- 135thinkwithgoogle.com
- 137businessofapps.com
- 138influencermarketinghub.com
- 139socialmediatoday.com
- 142modernretail.co×2
- 144shipscience.com
- 145apprissretail.com
- 147oculus.com×2
- 149retail-week.com
- 150apparently.ai
- 152coresight.com×2
- 155pimcore.com
- 158upperstaging.com
- 161fashionunited.com
- 162zippia.com
- 163quora.com
- 168oberlo.com
- 170demandware.com
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Alexander Eser. (April 19, 2026). Digital Transformation In The Fashion Retail Industry Statistics. Rawshot.ai. https://rawshot.ai/statistic/digital-transformation-in-the-fashion-retail-industry
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Alexander Eser. "Digital Transformation In The Fashion Retail Industry Statistics." Rawshot.ai, 19 Apr 2026, https://rawshot.ai/statistic/digital-transformation-in-the-fashion-retail-industry.
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Alexander Eser. 2026. "Digital Transformation In The Fashion Retail Industry Statistics." Rawshot.ai. https://rawshot.ai/statistic/digital-transformation-in-the-fashion-retail-industry.
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