Modernizing Legacy Enterprise Systems: AI-Driven Transformation of Warehouse and Retail Platforms

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ECLEARNIX EdTech Private Limited, Jun 10, 2026 - Antiques & Collectibles - 296 pages
To understand the challenges associated with legacy enterprise systems in warehouse and retail environments, including technical debt, operational inefficiencies, scalability limitations, and barriers to digital transformation in modern business ecosystems.  To explore contemporary modernization approaches involving artificial intelligence, cloudnative architectures, microservices, automation platforms, and data-driven technologies that enable the transformation of traditional warehouse and retail systems into intelligent enterprise platforms.  To examine the design, migration, and implementation strategies required for transitioning from monolithic applications to flexible, scalable, and resilient architectures while ensuring business continuity, operational efficiency, and system interoperability.  To analyze the application of AI-driven technologies such as predictive analytics, demand forecasting, computer vision, natural language processing, and real-time supply chain intelligence in optimizing warehouse operations, inventory management, and retail decisionmaking processes.  To evaluate emerging trends including edge computing, autonomous retail systems, intelligent automation, enterprise security governance, workforce transformation, and performance measurement frameworks that shape the future of digital enterprise modernization and sustainable business innovation.
 

Selected pages

Contents

Table of Contents
13
Why Modernization is Inevitable
19
4
27
4
33
Multiple Choice Questions MCQs
36
Technical Debt and System Readiness
40
4
47
Building an Intelligent Core
59
3
117
CloudNative Foundations for Warehouse Management
129
4
138
AIEnhanced Demand Forecasting
149
4
160
Optimizing the Supply Chain with Predictive Analytics
168
Computer Vision in Warehouse Automation
184
NLP in Retail and BackOffice Operations
201

CHAPTER 4
78
4
87
Strategies for Phased Migration 5 From Monoliths to Microservices AIDriven Decomposition
94
3
102
Multiple Choice Questions MCQs
108
Modernizing Data Pipelines for RealTime
111
Security and Governance in the AI
219
Upskilling and Cultural Change Management
236
KPIs and the ROI of Modernization
254
Avoiding Metric Decay
262
Edge Computing and Autonomous Retail
274
Copyright

Common terms and phrases

agile AI-Driven Transformation algorithms allows Answer architects architecture audit automated automatically autonomous build Chapter cloud cloud-native codebase complex computer vision context cost creates Data Fabric data pipeline database deployed deployment Detection Digital Twin ecosystem eliminate employees engine ensure event Furthermore global goal hardware human identify impact implementation infrastructure integration Intelligent Core interfaces inventory KPIs latency layer Legacy Enterprise Systems legacy environment legacy monolith legacy systems logic logistics machine learning mainframe manual metrics microservices MLOps modern enterprise Modernizing Legacy Enterprise module Monitoring monolithic architectures move Natural Language operations Optimization organization patterns phased migration predictive analytics provides reduces replace requires Retail Platforms risk robots role scalable sensors server shift specific Strangler Fig strategy supply chain technical debt transactions Transformation of Warehouse transition updates upskilling Warehouse and Retail Warehouse Management System workers

About the author (2026)

Shiva Kumar Devasani is a seasoned technology leader, enterprise architect, and warehouse management systems (WMS) specialist with over two decades of experience in designing, developing, modernising, and supporting large-scale enterprise applications across the retail, supply chain, warehouse management, banking, and automotive industries. Throughout his distinguished career, he has worked extensively with AS/400 technologies, enterprise application development, production support, system integration, and digital transformation initiatives,and modern software development methodologies including Agile, Waterfall, and Kanban. Over the years, Shiva Kumar Devasani has played key leadership roles as Technology Lead, Technical Architect, Subject Matter Expert, and Senior Software Engineer for globally recognized organizations including G-III Apparel Group, Costco, Nissan North America, Nissan Canada, and Punjab National Bank. His professional journey has been strongly associated with warehouse management and supply chain technologies, where he has successfully led the implementation, modernization, optimization, and support of complex Warehouse Management Systems (WMS) across North America. A recognized expert in warehouse and retail technology ecosystems, Shiva has contributed significantly to the deployment and enhancement of enterprise warehouse platforms, including customized WMS environments supporting distribution centers across the United States, Canada, and Mexico. In addition to his technical accomplishments, he has delivered corporate training programs on warehouse management systems and AS/400 technologies for professionals across India and North America. He is also a Certified Salesforce Administrator and Salesforce Platform Developer, combining traditional enterprise technology expertise with modern cloud-based business solutions. As an author, Shiva Kumar Devasani brings together practical industry experience and strategic technological insight to help organizations navigate the transition from legacy platforms to intelligent, AI-driven enterprises. His work focuses on the convergence of artificial intelligence, cloud computing, warehouse automation, supply chain intelligence, edge computing, and autonomous retail systems. Through this book, he aims to provide students, researchers, technology professionals, architects, and business leaders with a comprehensive understanding of how modern enterprises can successfully transform legacy systems into agile, data-driven, and future-ready digital ecosystems capable of meeting the demands of the next generation of commerce and industry

Bibliographic information

TitleModernizing Legacy Enterprise Systems: AI-Driven Transformation of Warehouse and Retail Platforms
AuthorShiva Kumar Devasani
PublisherECLEARNIX EdTech Private Limited, 2026
ISBN8168650433, 9788168650435
Length296 pages
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