TABLE OF CONTENTS
1 EXECUTIVE SUMMARY 22
2 MARKET INTRODUCTION 24
2.1 DEFINITION 24
2.2 SCOPE OF THE STUDY 24
2.3 RESEARCH OBJECTIVE 24
2.4 MARKET STRUCTURE 25
3 RESEARCH METHODOLOGY 26
3.1 OVERVIEW 26
3.2 DATA FLOW 28
3.2.1 DATA MINING PROCESS 28
3.3 PURCHASED DATABASE: 29
3.4 SECONDARY SOURCES: 30
3.4.1 SECONDARY RESEARCH DATA FLOW: 31
3.5 PRIMARY RESEARCH: 32
3.5.1 PRIMARY RESEARCH DATA FLOW: 33
3.5.2 PRIMARY RESEARCH: NUMBER OF INTERVIEWS CONDUCTED 34
3.5.3 PRIMARY RESEARCH: REGIONAL COVERAGE 34
3.6 APPROACHES FOR MARKET SIZE ESTIMATION: 35
3.6.1 REVENUE ANALYSIS APPROACH 35
3.7 DATA FORECASTING 36
3.7.1 DATA FORECASTING TECHNIQUE 36
3.8 DATA MODELING 37
3.8.1 MICROECONOMIC FACTOR ANALYSIS: 37
3.8.2 DATA MODELING: 38
3.9 TEAMS AND ANALYST CONTRIBUTION 40
4 MARKET DYNAMICS 42
4.1 INTRODUCTION 42
4.2 DRIVERS 43
4.2.1 GROWING BENEFITS OF GENERATIVE AI FOR LOGISTICS INDUSTRY 43
4.2.2 GROWING POTENTIAL OF GENERATIVE AI ACROSS END-TO-END SUPPLY CHAIN OPTIMIZATION 43
4.2.3 RAPID TECHNOLOGICAL ADVANCEMENTS INTO ARTIFICIAL INTELLIGENCE (AI) AND MACHINE LEARNING (ML) 44
4.3 RESTRAINTS 45
4.3.1 HIGH INITIAL INVESTMENTS REQUIRED 45
4.3.2 DATA SECURITY AND PRIVACY RISKS 46
4.3.3 LEGAL AND REGULATORY COMPLIANCE ISSUES 46
4.4 OPPORTUNITY 47
4.4.1 SURGE IN E-COMMERCE AND RISING CUSTOMER EXPECTATIONS 47
4.4.2 GROWING NEED FOR OPTIMIZATION AND AUTOMATION ACROSS LOGISTIC COMPANIES 48
4.4.3 DEMAND FOR PREDICTIVE MAINTENANCE (PDM) ACROSS LOGISTICS OPERATIONS 48
4.5 CHALLENGES 49
4.5.1 DEPLOYMENT AND SCALABILITY 49
4.5.2 MODEL TRAINING AND OPTIMIZATION 50
4.5.3 INTERPRETABILITY AND EXPLAINABILITY 50
4.5.4 REAL-TIME ADAPTATION AND DYNAMIC ENVIRONMENTS 50
4.6 TRENDS 50
4.6.1 AUTONOMOUS VEHICLES AND ROBOTICS 50
4.6.2 SMART CONTRACTS AND BLOCKCHAIN TECHNOLOGY 50
4.6.3 PERSONALIZED CUSTOMER EXPERIENCES 51
4.6.4 REAL-TIME DATA ANALYSIS AND DECISION-MAKING 51
4.6.5 AI-DRIVEN SIMULATION AND MODELING 51
4.6.6 ROBOTICS AND AUTOMATION 51
5 MARKET FACTOR ANALYSIS 52
5.1 VALUE CHAIN ANALYSIS 52
5.1.1 DATA SOURCES 52
5.1.2 AI DEVELOPMENT AND RESEARCH 53
5.1.3 SOLUTION PROVIDERS 53
5.1.4 END USER 53
5.2 PORTER'S FIVE FORCES MODEL 54
5.2.1 THREAT OF NEW ENTRANTS 54
5.2.2 BARGAINING POWER OF SUPPLIERS 55
5.2.3 THREAT OF SUBSTITUTES 55
5.2.4 BARGAINING POWER OF BUYERS 55
5.2.5 INTENSITY OF RIVALRY 55
5.3 MARKET SWOT ANALYSIS 56
5.4 MARKET PEST ANALYSIS 57
5.5 USE CASE ANALYSIS 57
5.5.1 OPTIMIZING SUPPLY CHAINS FOR REAL-TIME DECISION-MAKING 57
5.5.2 DEMAND FORECASTING 57
5.5.3 SUPPLY CHAIN OPTIMIZATION 57
5.5.4 SUPPLIER RISK ASSESSMENT 58
5.5.5 ANOMALY DETECTION 58
5.5.6 PRODUCT DEVELOPMENT 58
5.5.7 SALES AND OPERATIONS PLANNING 58
5.5.8 PRICE OPTIMIZATION 58
5.5.9 TRANSPORTATION AND ROUTING OPTIMIZATION 58
5.5.10 INVENTORY MANAGEMENT 59
5.5.11 FINANCIAL OPTIMIZATION IN SUPPLY CHAIN 59
5.6 REGULATORY LANDSCAPE ANALYSIS 59
5.7 ROLE OF AI IN LOGISTICS AND SUPPLY CHAIN 60
5.8 NAVIGATING AI WITH RETURN ON INVESTMENT (ROI) 61
5.9 IMPLICATIONS OF DISCRIMINATIVE AI VERSUS GENERATIVE AI ON SUPPLY CHAIN 62
6 GLOBAL GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY OFFERING 63
6.1 INTRODUCTION 63
6.2 SOLUTION 64
6.3 SERVICES 64
6.3.1 PROFESSIONAL SERVICES 65
6.3.2 MANAGED SERVICES 65
7 GLOBAL GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY TYPE 66
7.1 INTRODUCTION 66
7.2 VARIATIONAL AUTOENCODER (VAE) 67
7.3 GENERATIVE ADVERSARIAL NETWORKS (GANS) 68
7.4 RECURRENT NEURAL NETWORKS (RNNS) 68
7.5 LONG SHORT-TERM MEMORY (LSTM) NETWORKS 68
8 GLOBAL GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY APPLICATION 69
8.1 INTRODUCTION 69
8.2 WAREHOUSE OPERATIONS, OPTIMIZATION AND MANAGEMENT 72
8.3 SUPPLY CHAIN OPERATIONS 72
8.3.1 DEMAND FORECASTING 72
8.3.2 TRANSPORTATION AND ROUTE OPTIMIZING 72
8.3.3 GREEN SUPPLY CHAINS 72
8.3.4 PRODUCTION PLANNING/ SCHEDULING 72
8.3.5 RISK MANAGEMENT 73
8.3.6 SUPPLIER MANAGEMENT 73
8.3.7 SOURCING 73
8.3.8 CONTRACT ANALYSIS 73
8.3.9 OTHERS 73
8.4 PREDICTIVE MAINTENANCE 73
8.5 LOGISTICS NETWORK DESIGN 73
8.6 INVENTORY MANAGEMENT 74
8.7 FRAUD DETECTION 74
8.8 CUSTOMER SERVICE OPERATIONS 74
8.9 AUTONOMOUS ROBOTICS 74
8.10 DATA ANALYTICS & REPORTING 74
8.11 OTHERS 74
9 GLOBAL GENERATIVE AI IN FULFILLMENT AND LOGISTICS MARKET, BY INDUSTRY VERTICAL 75
9.1 OVERVIEW 75
9.2 AUTOMOTIVE 77
9.3 PHARMACEUTICAL & HEALTHCARE 77
9.4 SEMICONDUCTORS & ELECTRONICS 77
9.5 RETAIL & E-COMMERCE 78
9.6 FOOD & BEVERAGES 78
9.7 OTHERS 78
10 GLOBAL GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY REGION 79
10.1 OVERVIEW 79
10.2 NORTH AMERICA 80
10.2.1 US 84
10.2.2 CANADA 86
10.2.3 MEXICO 88
10.3 EUROPE 91
10.3.1 GERMANY 94
10.3.2 UK 97
10.3.3 FRANCE 99
10.3.4 ITALY 101
10.3.5 SPAIN 103
10.3.6 REST OF EUROPE 105
10.4 ASIA PACIFIC 108
10.4.1 CHINA 112
10.4.2 INDIA 114
10.4.3 JAPAN 116
10.4.4 SOUTH KOREA 118
10.4.5 REST OF ASIA PACIFIC 120
10.5 MIDDLE EAST & AFRICA 123
10.5.1 SAUDI ARABIA 127
10.5.2 UAE 129
10.5.3 SOUTH AFRICA 131
10.5.4 REST OF MIDDLE EAST & AFRICA 133
10.6 SOUTH AMERICA 136
10.6.1 BRAZIL 142
10.6.2 ARGENTINA 145
10.6.3 REST OF SOUTH AMERICA 147
11 COMPETITIVE LANDSCAPE 150
11.1 OVERVIEW 150
11.2 COMPETITIVE BENCHMARKING 151
11.3 MARKET SHARE ANALYSIS 152
11.4 KEY DEVELOPMENT IN THE GLOBAL GENERATIVE AI IN FULFILLMENT AND LOGISTICS 153
11.4.1 PRODUCT LAUNCHES/SERVICE 153
11.4.2 PARTNERSHIP & COLABORATION 154
11.4.3 EXPANSIONS/ JOINT VENTURE & INVESTMENTS 155
11.4.4 OTHER RECENT DEVELOPMENT 156
12 COMPANY PROFILE 157
12.1 MICROSOFT CORPORATION 157
12.1.1 COMPANY OVERVIEW 157
12.1.2 FINANCIAL OVERVIEW 158
12.1.3 PRODUCTS OFFERED 158
12.1.4 KEY DEVELOPMENTSS 159
12.1.5 SWOT ANALYSIS 159
12.1.6 KEY STRATEGIES 159
12.2 SECONDMIND 160
12.2.1 COMPANY OVERVIEW 160
12.2.2 FINANCIAL OVERVIEW 161
12.2.3 PRODUCTS OFFERED 161
12.2.4 KEY DEVELOPMENTSS 161
12.2.5 SWOT ANALYSIS 162
12.2.6 KEY STRATEGIES 162
12.3 WAREDOCK ESTONIA LLC 163
12.3.1 COMPANY OVERVIEW 163
12.3.2 FINANCIAL OVERVIEW 163
12.3.3 PRODUCTS OFFERED 164
12.3.4 KEY DEVELOPMENTS 164
12.3.5 SWOT ANALYSIS 165
12.4 LEEWAYHERTZ 166
12.4.1 COMPANY OVERVIEW 166
12.4.2 FINANCIAL OVERVIEW 167
12.4.3 PRODUCTS OFFERED 167
12.4.4 KEY DEVELOPMENTS 167
12.4.5 SWOT ANALYSIS 168
12.5 SAP SE 169
12.5.1 COMPANY OVERVIEW 169
12.5.2 FINANCIAL OVERVIEW 170
12.5.3 PRODUCTS OFFERED 171
12.5.4 KEY DEVELOPMENTSS 171
12.5.5 SWOT ANALYSIS 172
12.5.6 KEY STRATEGIES 172
12.6 DHL GROUP 173
12.6.1 COMPANY OVERVIEW 173
12.6.2 FINANCIAL OVERVIEW 174
12.6.3 PRODUCTS OFFERED 174
12.6.4 KEY DEVELOPMENTS 175
12.6.5 SWOT ANALYSIS 175
12.6.6 KEY STRATEGIES 175
12.7 C3.AI, INC. 176
12.7.1 COMPANY OVERVIEW 176
12.7.2 FINANCIAL OVERVIEW 177
12.7.3 PRODUCTS OFFERED 178
12.7.4 KEY DEVELOPMENTSS 178
12.7.5 SWOT ANALYSIS 179
12.7.6 KEY STRATEGIES 179
12.8 BLUE YONDER 180
12.8.1 COMPANY OVERVIEW 180
12.8.2 FINANCIAL OVERVIEW 181
12.8.3 PRODUCTS OFFERED 181
12.8.4 KEY DEVELOPMENTSS 183
12.8.5 SWOT ANALYSIS 183
12.8.6 KEY STRATEGIES 184
12.9 XENONSTACK.AI 185
12.9.1 COMPANY OVERVIEW 185
12.9.2 FINANCIAL OVERVIEW 185
12.9.3 PRODUCTS OFFERED 186
12.9.4 KEY DEVELOPMENTS 186
12.9.5 SWOT ANALYSIS 187
12.9.6 KEY STRATEGIES 187
12.10 OSA COMMERCE 188
12.10.1 COMPANY OVERVIEW 188
12.10.2 PRODUCTS OFFERED 189
12.10.3 KEY DEVELOPMENTS 189
12.10.4 SWOT ANALYSIS 190
12.10.5 KEY STRATEGIES 190
12.11 DAT SOLUTIONS LLC 191
12.11.1 COMPANY OVERVIEW 191
12.11.2 FINANCIAL OVERVIEW 192
12.11.3 PRODUCTS OFFERED 193
12.11.4 KEY DEVELOPMENTS 193
12.11.5 SWOT ANALYSIS 194
12.11.6 KEY STRATEGIES 194
12.12 IBM CORPORATION 195
12.12.1 COMPANY OVERVIEW 195
12.12.2 FINANCIAL OVERVIEW 196
12.12.3 PRODUCTS OFFERED 197
12.12.4 KEY DEVELOPMENTS 197
12.12.5 SWOT ANALYSIS 198
12.12.6 KEY STRATEGIES 198
12.13 ORACLE CORPORATION 199
12.13.1 COMPANY OVERVIEW 199
12.13.2 FINANCIAL OVERVIEW 200
12.13.3 PRODUCTS OFFERED 200
12.13.4 KEY DEVELOPMENTS 201
12.13.5 SWOT ANALYSIS 202
12.13.6 KEY STRATEGIES 202
12.14 ITREX GROUP 203
12.14.1 COMPANY OVERVIEW 203
12.14.2 FINANCIAL OVERVIEW 203
12.14.3 PRODUCTS OFFERED 204
12.14.4 KEY DEVELOPMENTS 204
12.14.5 SWOT ANALYSIS 204
12.15 ACCENTURE 205
12.15.1 COMPANY OVERVIEW 205
12.15.2 FINANCIAL OVERVIEW 206
12.15.3 PRODUCTS OFFERED 206
12.15.4 KEY DEVELOPMENTSS 207
12.15.5 SWOT ANALYSIS 207
12.15.6 KEY STRATEGIES 208
LIST OF TABLES
TABLE 1 QFD MODELING FOR MARKET SHARE ASSESSMENT 38
TABLE 2 IMPLICATIONS OF DISCRIMINATIVE AI VERSUS GENERATIVE AI ON SUPPLY CHAIN 62
TABLE 3 GLOBAL GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY OFFERING, 2019-2032 (‘000 USD) 63
TABLE 4 GLOBAL GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY SERVICES, 2019-2032 (‘000 USD) 63
TABLE 5 GLOBAL GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY TYPE, 2019-2032 (‘000 USD) 66
TABLE 6 GLOBAL GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY APPLICATION, 2019-2032 (‘000 USD) 70
TABLE 7 GLOBAL GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY SUPPLY CHAIN OPERATIONS, 2019-2032 (‘000 USD) 70
TABLE 8 GLOBAL GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY INDUSTRY VERTICAL, 2019-2032 (‘000 USD) 76
TABLE 9 GLOBAL GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY REGION, 2019-2032 (‘000 USD) 79
TABLE 10 NORTH AMERICA: GENERATIVE AI IN FULFILLMENT AND LOGISTICS MARKET, BY COUNTRY, 2019-2032 (‘000 USD) 81
TABLE 11 NOTH AMERICA GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY OFFERING, 2019-2032 (‘000 USD) 82
TABLE 12 NOTH AMERICA GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY SERVICES, 2019-2032 (‘000 USD) 82
TABLE 13 NOTH AMERICA GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY TYPE, 2019-2032 (‘000 USD) 82
TABLE 14 NOTH AMERICA GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY APPLICATION, 2019-2032 (‘000 USD) 83
TABLE 15 NOTH AMERICA GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY SUPPLY CHAIN OPERATIONS, 2019-2032 (‘000 USD) 83
TABLE 16 NOTH AMERICA GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY INDUSTRY VERTICAL, 2019-2032 (‘000 USD) 84
TABLE 17 US GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY OFFERING, 2019-2032 (‘000 USD) 84
TABLE 18 US GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY SERVICES, 2019-2032 (‘000 USD) 84
TABLE 19 US GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY TYPE, 2019-2032 (‘000 USD) 84
TABLE 20 US GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY APPLICATION, 2019-2032 (‘000 USD) 85
TABLE 21 US GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY SUPPLY CHAIN OPERATIONS, 2019-2032 (‘000 USD) 85
TABLE 22 US GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY INDUSTRY VERTICAL, 2019-2032 (‘000 USD) 86
TABLE 23 CANADA GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY OFFERING, 2019-2032 (‘000 USD) 86
TABLE 24 CANADA GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY SERVICES, 2019-2032 (‘000 USD) 86
TABLE 25 CANADA GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY TYPE, 2019-2032 (‘000 USD) 86
TABLE 26 CANADA GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY APPLICATION, 2019-2032 (‘000 USD) 87
TABLE 27 CANADA GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY SUPPLY CHAIN OPERATIONS, 2019-2032 (‘000 USD) 87
TABLE 28 CANADA GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY INDUSTRY VERTICAL, 2019-2032 (‘000 USD) 88
TABLE 29 MEXICO GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY OFFERING, 2019-2032 (‘000 USD) 88
TABLE 30 MEXICO GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY SERVICES, 2019-2032 (‘000 USD) 88
TABLE 31 MEXICO GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY TYPE, 2019-2032 (‘000 USD) 88
TABLE 32 MEXICO GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY APPLICATION, 2019-2032 (‘000 USD) 89
TABLE 33 MEXICO GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY SUPPLY CHAIN OPERATIONS, 2019-2032 (‘000 USD) 89
TABLE 34 MEXICO GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY INDUSTRY VERTICAL, 2019-2032 (‘000 USD) 90
TABLE 35 EUROPE: GENERATIVE AI IN FULFILLMENT AND LOGISTICS MARKET, BY C
