AI in Fashion Industry:
AI in Fashion Industrydiscusses recent developments in fashion forecasting, developing a 'framework of AI-based fashion forecasting' and validates the framework with a qualitative case study of the world's first fashion intelligence company based in Bengaluru, India
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Bingley
Emerald Publishing Limited
2022
|
| Ausgabe: | 1st ed |
| Schriftenreihe: | Emerald Points Series
|
| Schlagwörter: | |
| Links: | https://ebookcentral.proquest.com/lib/hwr/detail.action?docID=6882840 |
| Zusammenfassung: | AI in Fashion Industrydiscusses recent developments in fashion forecasting, developing a 'framework of AI-based fashion forecasting' and validates the framework with a qualitative case study of the world's first fashion intelligence company based in Bengaluru, India |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Umfang: | 1 Online-Ressource (193 Seiten) |
| ISBN: | 9781802626353 |
Internformat
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| 245 | 1 | 0 | |a AI in Fashion Industry |
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| 264 | 1 | |a Bingley |b Emerald Publishing Limited |c 2022 | |
| 264 | 4 | |c ©2022 | |
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| 505 | 8 | |a Cover -- AI IN FASHION INDUSTRY -- AI IN FASHION INDUSTRY -- Copyright -- CONTENTS -- LIST OF FIGURES -- LIST OF TABLES -- ACKNOWLEDGEMENT -- ABSTRACT -- 1. Introduction -- 1.1 Conceptual Background -- 1.2 Research Gaps -- 1.3 Research Objectives -- 1.4 Research Questions -- 1.5 Proposed Implications -- 1.5.1 Theoretical Contributions -- 1.5.2 Methodological Contributions -- 1.5.3 Practical Implications -- 1.5.4 Future Research Directions -- 1.6 Research Design and Methodology -- 1.7 Organization of the Thesis -- 1.8 Research Flow Diagram -- 1.9 Summary of Introduction -- 2. Literature Review -- 2.1 Introduction to Literature Review -- 2.2 Defining Fashion -- 2.3 Fashion: Sociological, Psychological and Cognitive Perspective (A Review of Last 100 Years) -- 2.4 Fashion and Gender -- 2.5 Fashion and Sex Impulse -- 2.6 Fashion and Age -- 2.7 Fashion and Politics -- 2.8 Fashion and Identity -- 2.9 The Fashion Acceptance Process -- 2.10 The Fashion Buying Behaviour -- 2.11 Fashion: A Business Perspective -- 2.12 Fashion Forecasting: The Background -- 2.13 Fashion Forecasting: The Contemporary Approach -- 2.14 Fashion Forecasting in Artificial Intelligence and Machine Vision Era: The Future -- 2.15 Aesthetic Experience and Design Thinking -- 2.16 Social Media and E-Commerce: The Future of Fashion Intelligence -- 2.17 Rise of Web 2.0: The Age of Social Media -- 2.18 Brands, Fashion and Social Media -- 2.19 Emergence and Rise of Facebook -- 2.20 Social Media and Facebook Engagement -- 2.21 Marketing 4.0 -- 2.22 Summary of Literature Review -- 2.23 Research Gaps -- 3. Research Design and Methodology -- 3.1 Methodology of Literature Review -- 3.1.1 Choice of Reporting Format and Framework of Literature Review -- 3.1.2 Methods, Sources and Steps of Literature Review -- 3.1.3 Timelines of Literature Review | |
| 505 | 8 | |a 3.1.4 Shortlisting, Screening and Filtering of Articles -- 3.2 Theoretical, Conceptual Frameworks and Conceptual Models -- 3.2.1 Conceptual Model of Fashion Identity -- 3.2.2 Framework of Short-range Fashion Forecasting -- 3.2.3 AI Framework of Fashion Forecasting -- 3.2.4 Fashion Intelligence Framework of Fashion e-forecasting -- 3.3 Research Objectives -- 3.4 Research Questions and Hypotheses -- 3.5 Summary of Literature Review Methodology -- 3.6 Summary of Frameworks -- 3.7 Summary of Methodology -- 4. Case Study - 1 'Stylumia': Artificial Intelligence in Fashion -- 4.1 Case Introduction -- 4.2 Qualitative Case Methodology: A Review -- 4.3 Case Methodology -- 4.4 Case Findings, Discussions and Framework Validation -- 4.5 Summary of Case Study 1 -- 5. Case Study - 2 'Nowcasting an Indian Kurti Using Facebook Photographs of Consumers' -- 5.1 Case Introduction -- 5.2 Indian Kurti and Ethnic Wear Market in India: An Overview -- 5.3 Case Problem -- 5.4 Additional Information on the Case -- 5.5 Case Methodology -- 5.6 Selection of Attributes -- 5.7 Selection of Labels -- 5.8 Sampling Design -- 5.9 Data Collection: Netnography -- 5.10 Coding -- 5.11 Statistical Design: Cluster Analysis -- 5.12 Empirical Findings -- 5.13 Interpretation of results -- 5.13.1 Cluster 1 - Style 1 -- 5.13.2 Cluster 2 - Style 2 and Style 3 -- 5.13.3 Cluster 3 - Style 4 -- 5.13.4 Cluster 4 - Style 5, Style 6, Style 7 and Style 8 -- 5.13.5 Cluster 5 - Style 9, Style 10, Style 11 and Style 12 -- 5.13.6 Cluster 6 - Style 13, Style 14, Style 15 and Style 16 -- 5.13.7 Cluster 7 - Style 17, Style 18, Style 19 and Style 20 -- 5.14 Case Findings, Discussions and Framework Validation -- 5.15 Summary of Case Study 2 -- 6. Concluding Notes -- 6.1 Conclusions -- 6.2 Implications -- 6.2.1 Theoretical Contribution -- 6.2.2 Methodological Contribution | |
| 505 | 8 | |a 6.2.3 Practical Implications: Some of the Practical Implications of the Present Work We Have Been Explained Below -- 6.2.4 Future Research Directions -- 6.3 Challenges -- 6.4 Limitations -- 6.5 Future Scope -- EXHIBITS -- ANNEXURES -- REFERENCES -- INDEX. | |
| 520 | |a AI in Fashion Industrydiscusses recent developments in fashion forecasting, developing a 'framework of AI-based fashion forecasting' and validates the framework with a qualitative case study of the world's first fashion intelligence company based in Bengaluru, India | ||
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Clothing trade | |
| 700 | 1 | |a Mohapatra, Sanjay |e Sonstige |4 oth | |
| 700 | 1 | |a Bharati, M. |e Sonstige |4 oth | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Banerjee, Satya |t AI in Fashion Industry |d Bingley : Emerald Publishing Limited,c2022 |z 9781802626346 |
| 912 | |a ZDB-30-PQE | ||
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-035213675 | |
| 966 | e | |u https://ebookcentral.proquest.com/lib/hwr/detail.action?docID=6882840 |l DE-2070s |p ZDB-30-PQE |q HWR_PDA_PQE_Kauf |x Aggregator |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1818992321018986496 |
|---|---|
| any_adam_object | |
| author | Banerjee, Satya |
| author_facet | Banerjee, Satya |
| author_role | aut |
| author_sort | Banerjee, Satya |
| author_variant | s b sb |
| building | Verbundindex |
| bvnumber | BV049874217 |
| collection | ZDB-30-PQE |
| contents | Cover -- AI IN FASHION INDUSTRY -- AI IN FASHION INDUSTRY -- Copyright -- CONTENTS -- LIST OF FIGURES -- LIST OF TABLES -- ACKNOWLEDGEMENT -- ABSTRACT -- 1. Introduction -- 1.1 Conceptual Background -- 1.2 Research Gaps -- 1.3 Research Objectives -- 1.4 Research Questions -- 1.5 Proposed Implications -- 1.5.1 Theoretical Contributions -- 1.5.2 Methodological Contributions -- 1.5.3 Practical Implications -- 1.5.4 Future Research Directions -- 1.6 Research Design and Methodology -- 1.7 Organization of the Thesis -- 1.8 Research Flow Diagram -- 1.9 Summary of Introduction -- 2. Literature Review -- 2.1 Introduction to Literature Review -- 2.2 Defining Fashion -- 2.3 Fashion: Sociological, Psychological and Cognitive Perspective (A Review of Last 100 Years) -- 2.4 Fashion and Gender -- 2.5 Fashion and Sex Impulse -- 2.6 Fashion and Age -- 2.7 Fashion and Politics -- 2.8 Fashion and Identity -- 2.9 The Fashion Acceptance Process -- 2.10 The Fashion Buying Behaviour -- 2.11 Fashion: A Business Perspective -- 2.12 Fashion Forecasting: The Background -- 2.13 Fashion Forecasting: The Contemporary Approach -- 2.14 Fashion Forecasting in Artificial Intelligence and Machine Vision Era: The Future -- 2.15 Aesthetic Experience and Design Thinking -- 2.16 Social Media and E-Commerce: The Future of Fashion Intelligence -- 2.17 Rise of Web 2.0: The Age of Social Media -- 2.18 Brands, Fashion and Social Media -- 2.19 Emergence and Rise of Facebook -- 2.20 Social Media and Facebook Engagement -- 2.21 Marketing 4.0 -- 2.22 Summary of Literature Review -- 2.23 Research Gaps -- 3. Research Design and Methodology -- 3.1 Methodology of Literature Review -- 3.1.1 Choice of Reporting Format and Framework of Literature Review -- 3.1.2 Methods, Sources and Steps of Literature Review -- 3.1.3 Timelines of Literature Review 3.1.4 Shortlisting, Screening and Filtering of Articles -- 3.2 Theoretical, Conceptual Frameworks and Conceptual Models -- 3.2.1 Conceptual Model of Fashion Identity -- 3.2.2 Framework of Short-range Fashion Forecasting -- 3.2.3 AI Framework of Fashion Forecasting -- 3.2.4 Fashion Intelligence Framework of Fashion e-forecasting -- 3.3 Research Objectives -- 3.4 Research Questions and Hypotheses -- 3.5 Summary of Literature Review Methodology -- 3.6 Summary of Frameworks -- 3.7 Summary of Methodology -- 4. Case Study - 1 'Stylumia': Artificial Intelligence in Fashion -- 4.1 Case Introduction -- 4.2 Qualitative Case Methodology: A Review -- 4.3 Case Methodology -- 4.4 Case Findings, Discussions and Framework Validation -- 4.5 Summary of Case Study 1 -- 5. Case Study - 2 'Nowcasting an Indian Kurti Using Facebook Photographs of Consumers' -- 5.1 Case Introduction -- 5.2 Indian Kurti and Ethnic Wear Market in India: An Overview -- 5.3 Case Problem -- 5.4 Additional Information on the Case -- 5.5 Case Methodology -- 5.6 Selection of Attributes -- 5.7 Selection of Labels -- 5.8 Sampling Design -- 5.9 Data Collection: Netnography -- 5.10 Coding -- 5.11 Statistical Design: Cluster Analysis -- 5.12 Empirical Findings -- 5.13 Interpretation of results -- 5.13.1 Cluster 1 - Style 1 -- 5.13.2 Cluster 2 - Style 2 and Style 3 -- 5.13.3 Cluster 3 - Style 4 -- 5.13.4 Cluster 4 - Style 5, Style 6, Style 7 and Style 8 -- 5.13.5 Cluster 5 - Style 9, Style 10, Style 11 and Style 12 -- 5.13.6 Cluster 6 - Style 13, Style 14, Style 15 and Style 16 -- 5.13.7 Cluster 7 - Style 17, Style 18, Style 19 and Style 20 -- 5.14 Case Findings, Discussions and Framework Validation -- 5.15 Summary of Case Study 2 -- 6. Concluding Notes -- 6.1 Conclusions -- 6.2 Implications -- 6.2.1 Theoretical Contribution -- 6.2.2 Methodological Contribution 6.2.3 Practical Implications: Some of the Practical Implications of the Present Work We Have Been Explained Below -- 6.2.4 Future Research Directions -- 6.3 Challenges -- 6.4 Limitations -- 6.5 Future Scope -- EXHIBITS -- ANNEXURES -- REFERENCES -- INDEX. |
| ctrlnum | (ZDB-30-PQE)EBC6882840 (ZDB-30-PAD)EBC6882840 (ZDB-89-EBL)EBL6882840 (OCoLC)1296427851 (DE-599)BVBBV049874217 |
| dewey-full | 687 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 687 - Clothing and accessories |
| dewey-raw | 687 |
| dewey-search | 687 |
| dewey-sort | 3687 |
| dewey-tens | 680 - Manufacture of products for specific uses |
| discipline | Handwerk und Gewerbe / Verschiedene Technologien |
| edition | 1st ed |
| format | Electronic eBook |
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| id | DE-604.BV049874217 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T20:24:18Z |
| institution | BVB |
| isbn | 9781802626353 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035213675 |
| oclc_num | 1296427851 |
| open_access_boolean | |
| owner | DE-2070s |
| owner_facet | DE-2070s |
| physical | 1 Online-Ressource (193 Seiten) |
| psigel | ZDB-30-PQE ZDB-30-PQE HWR_PDA_PQE_Kauf |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Emerald Publishing Limited |
| record_format | marc |
| series2 | Emerald Points Series |
| spelling | Banerjee, Satya Verfasser aut AI in Fashion Industry 1st ed Bingley Emerald Publishing Limited 2022 ©2022 1 Online-Ressource (193 Seiten) txt rdacontent c rdamedia cr rdacarrier Emerald Points Series Description based on publisher supplied metadata and other sources Cover -- AI IN FASHION INDUSTRY -- AI IN FASHION INDUSTRY -- Copyright -- CONTENTS -- LIST OF FIGURES -- LIST OF TABLES -- ACKNOWLEDGEMENT -- ABSTRACT -- 1. Introduction -- 1.1 Conceptual Background -- 1.2 Research Gaps -- 1.3 Research Objectives -- 1.4 Research Questions -- 1.5 Proposed Implications -- 1.5.1 Theoretical Contributions -- 1.5.2 Methodological Contributions -- 1.5.3 Practical Implications -- 1.5.4 Future Research Directions -- 1.6 Research Design and Methodology -- 1.7 Organization of the Thesis -- 1.8 Research Flow Diagram -- 1.9 Summary of Introduction -- 2. Literature Review -- 2.1 Introduction to Literature Review -- 2.2 Defining Fashion -- 2.3 Fashion: Sociological, Psychological and Cognitive Perspective (A Review of Last 100 Years) -- 2.4 Fashion and Gender -- 2.5 Fashion and Sex Impulse -- 2.6 Fashion and Age -- 2.7 Fashion and Politics -- 2.8 Fashion and Identity -- 2.9 The Fashion Acceptance Process -- 2.10 The Fashion Buying Behaviour -- 2.11 Fashion: A Business Perspective -- 2.12 Fashion Forecasting: The Background -- 2.13 Fashion Forecasting: The Contemporary Approach -- 2.14 Fashion Forecasting in Artificial Intelligence and Machine Vision Era: The Future -- 2.15 Aesthetic Experience and Design Thinking -- 2.16 Social Media and E-Commerce: The Future of Fashion Intelligence -- 2.17 Rise of Web 2.0: The Age of Social Media -- 2.18 Brands, Fashion and Social Media -- 2.19 Emergence and Rise of Facebook -- 2.20 Social Media and Facebook Engagement -- 2.21 Marketing 4.0 -- 2.22 Summary of Literature Review -- 2.23 Research Gaps -- 3. Research Design and Methodology -- 3.1 Methodology of Literature Review -- 3.1.1 Choice of Reporting Format and Framework of Literature Review -- 3.1.2 Methods, Sources and Steps of Literature Review -- 3.1.3 Timelines of Literature Review 3.1.4 Shortlisting, Screening and Filtering of Articles -- 3.2 Theoretical, Conceptual Frameworks and Conceptual Models -- 3.2.1 Conceptual Model of Fashion Identity -- 3.2.2 Framework of Short-range Fashion Forecasting -- 3.2.3 AI Framework of Fashion Forecasting -- 3.2.4 Fashion Intelligence Framework of Fashion e-forecasting -- 3.3 Research Objectives -- 3.4 Research Questions and Hypotheses -- 3.5 Summary of Literature Review Methodology -- 3.6 Summary of Frameworks -- 3.7 Summary of Methodology -- 4. Case Study - 1 'Stylumia': Artificial Intelligence in Fashion -- 4.1 Case Introduction -- 4.2 Qualitative Case Methodology: A Review -- 4.3 Case Methodology -- 4.4 Case Findings, Discussions and Framework Validation -- 4.5 Summary of Case Study 1 -- 5. Case Study - 2 'Nowcasting an Indian Kurti Using Facebook Photographs of Consumers' -- 5.1 Case Introduction -- 5.2 Indian Kurti and Ethnic Wear Market in India: An Overview -- 5.3 Case Problem -- 5.4 Additional Information on the Case -- 5.5 Case Methodology -- 5.6 Selection of Attributes -- 5.7 Selection of Labels -- 5.8 Sampling Design -- 5.9 Data Collection: Netnography -- 5.10 Coding -- 5.11 Statistical Design: Cluster Analysis -- 5.12 Empirical Findings -- 5.13 Interpretation of results -- 5.13.1 Cluster 1 - Style 1 -- 5.13.2 Cluster 2 - Style 2 and Style 3 -- 5.13.3 Cluster 3 - Style 4 -- 5.13.4 Cluster 4 - Style 5, Style 6, Style 7 and Style 8 -- 5.13.5 Cluster 5 - Style 9, Style 10, Style 11 and Style 12 -- 5.13.6 Cluster 6 - Style 13, Style 14, Style 15 and Style 16 -- 5.13.7 Cluster 7 - Style 17, Style 18, Style 19 and Style 20 -- 5.14 Case Findings, Discussions and Framework Validation -- 5.15 Summary of Case Study 2 -- 6. Concluding Notes -- 6.1 Conclusions -- 6.2 Implications -- 6.2.1 Theoretical Contribution -- 6.2.2 Methodological Contribution 6.2.3 Practical Implications: Some of the Practical Implications of the Present Work We Have Been Explained Below -- 6.2.4 Future Research Directions -- 6.3 Challenges -- 6.4 Limitations -- 6.5 Future Scope -- EXHIBITS -- ANNEXURES -- REFERENCES -- INDEX. AI in Fashion Industrydiscusses recent developments in fashion forecasting, developing a 'framework of AI-based fashion forecasting' and validates the framework with a qualitative case study of the world's first fashion intelligence company based in Bengaluru, India Artificial intelligence Clothing trade Mohapatra, Sanjay Sonstige oth Bharati, M. Sonstige oth Erscheint auch als Druck-Ausgabe Banerjee, Satya AI in Fashion Industry Bingley : Emerald Publishing Limited,c2022 9781802626346 |
| spellingShingle | Banerjee, Satya AI in Fashion Industry Cover -- AI IN FASHION INDUSTRY -- AI IN FASHION INDUSTRY -- Copyright -- CONTENTS -- LIST OF FIGURES -- LIST OF TABLES -- ACKNOWLEDGEMENT -- ABSTRACT -- 1. Introduction -- 1.1 Conceptual Background -- 1.2 Research Gaps -- 1.3 Research Objectives -- 1.4 Research Questions -- 1.5 Proposed Implications -- 1.5.1 Theoretical Contributions -- 1.5.2 Methodological Contributions -- 1.5.3 Practical Implications -- 1.5.4 Future Research Directions -- 1.6 Research Design and Methodology -- 1.7 Organization of the Thesis -- 1.8 Research Flow Diagram -- 1.9 Summary of Introduction -- 2. Literature Review -- 2.1 Introduction to Literature Review -- 2.2 Defining Fashion -- 2.3 Fashion: Sociological, Psychological and Cognitive Perspective (A Review of Last 100 Years) -- 2.4 Fashion and Gender -- 2.5 Fashion and Sex Impulse -- 2.6 Fashion and Age -- 2.7 Fashion and Politics -- 2.8 Fashion and Identity -- 2.9 The Fashion Acceptance Process -- 2.10 The Fashion Buying Behaviour -- 2.11 Fashion: A Business Perspective -- 2.12 Fashion Forecasting: The Background -- 2.13 Fashion Forecasting: The Contemporary Approach -- 2.14 Fashion Forecasting in Artificial Intelligence and Machine Vision Era: The Future -- 2.15 Aesthetic Experience and Design Thinking -- 2.16 Social Media and E-Commerce: The Future of Fashion Intelligence -- 2.17 Rise of Web 2.0: The Age of Social Media -- 2.18 Brands, Fashion and Social Media -- 2.19 Emergence and Rise of Facebook -- 2.20 Social Media and Facebook Engagement -- 2.21 Marketing 4.0 -- 2.22 Summary of Literature Review -- 2.23 Research Gaps -- 3. Research Design and Methodology -- 3.1 Methodology of Literature Review -- 3.1.1 Choice of Reporting Format and Framework of Literature Review -- 3.1.2 Methods, Sources and Steps of Literature Review -- 3.1.3 Timelines of Literature Review 3.1.4 Shortlisting, Screening and Filtering of Articles -- 3.2 Theoretical, Conceptual Frameworks and Conceptual Models -- 3.2.1 Conceptual Model of Fashion Identity -- 3.2.2 Framework of Short-range Fashion Forecasting -- 3.2.3 AI Framework of Fashion Forecasting -- 3.2.4 Fashion Intelligence Framework of Fashion e-forecasting -- 3.3 Research Objectives -- 3.4 Research Questions and Hypotheses -- 3.5 Summary of Literature Review Methodology -- 3.6 Summary of Frameworks -- 3.7 Summary of Methodology -- 4. Case Study - 1 'Stylumia': Artificial Intelligence in Fashion -- 4.1 Case Introduction -- 4.2 Qualitative Case Methodology: A Review -- 4.3 Case Methodology -- 4.4 Case Findings, Discussions and Framework Validation -- 4.5 Summary of Case Study 1 -- 5. Case Study - 2 'Nowcasting an Indian Kurti Using Facebook Photographs of Consumers' -- 5.1 Case Introduction -- 5.2 Indian Kurti and Ethnic Wear Market in India: An Overview -- 5.3 Case Problem -- 5.4 Additional Information on the Case -- 5.5 Case Methodology -- 5.6 Selection of Attributes -- 5.7 Selection of Labels -- 5.8 Sampling Design -- 5.9 Data Collection: Netnography -- 5.10 Coding -- 5.11 Statistical Design: Cluster Analysis -- 5.12 Empirical Findings -- 5.13 Interpretation of results -- 5.13.1 Cluster 1 - Style 1 -- 5.13.2 Cluster 2 - Style 2 and Style 3 -- 5.13.3 Cluster 3 - Style 4 -- 5.13.4 Cluster 4 - Style 5, Style 6, Style 7 and Style 8 -- 5.13.5 Cluster 5 - Style 9, Style 10, Style 11 and Style 12 -- 5.13.6 Cluster 6 - Style 13, Style 14, Style 15 and Style 16 -- 5.13.7 Cluster 7 - Style 17, Style 18, Style 19 and Style 20 -- 5.14 Case Findings, Discussions and Framework Validation -- 5.15 Summary of Case Study 2 -- 6. Concluding Notes -- 6.1 Conclusions -- 6.2 Implications -- 6.2.1 Theoretical Contribution -- 6.2.2 Methodological Contribution 6.2.3 Practical Implications: Some of the Practical Implications of the Present Work We Have Been Explained Below -- 6.2.4 Future Research Directions -- 6.3 Challenges -- 6.4 Limitations -- 6.5 Future Scope -- EXHIBITS -- ANNEXURES -- REFERENCES -- INDEX. Artificial intelligence Clothing trade |
| title | AI in Fashion Industry |
| title_auth | AI in Fashion Industry |
| title_exact_search | AI in Fashion Industry |
| title_full | AI in Fashion Industry |
| title_fullStr | AI in Fashion Industry |
| title_full_unstemmed | AI in Fashion Industry |
| title_short | AI in Fashion Industry |
| title_sort | ai in fashion industry |
| topic | Artificial intelligence Clothing trade |
| topic_facet | Artificial intelligence Clothing trade |
| work_keys_str_mv | AT banerjeesatya aiinfashionindustry AT mohapatrasanjay aiinfashionindustry AT bharatim aiinfashionindustry |