Back To Case StudiesCloud Modernization and Data Analytics Transformation for a Global Retail & E-Commerce Enterprise
Introduction
In the competitive world of retail and e-commerce, data speed and accuracy determine customer experience, personalization, and profitability. However, legacy infrastructure often prevents retailers from leveraging real-time insights to optimize operations and predict demand.
A leading global retail and e-commerce brand partnered with Axia Kairos to transform its fragmented, legacy-driven environment into a modern cloud-based, analytics-first ecosystem. The initiative focused on enhancing data reliability, automating business processes, and enabling smarter merchandising, supply chain, and marketing decisions through real-time analytics and AI-driven insights.
Business Challenge
The client’s legacy systems, built on outdated data warehouses and siloed reporting structures, could no longer support growing transaction volumes or complex customer behavior analytics.
Key challenges included:
High infrastructure costs and scalability limitations with legacy data centers.
Manual data collection and batch reporting delayed time-to-insight.
Inconsistent customer and product data across multiple e-commerce platforms.
Lack of unified dashboards for sales, marketing, and fulfillment analytics.
Absence of predictive capabilities for demand forecasting and personalization.
Solution Implemented
Axia Kairos designed a Cloud Modernization and Data Analytics framework that unified all enterprise data sources and automated insight generation across the retail value chain.
Cloud Platform Modernization
Migrated legacy systems to a secure, scalable cloud infrastructure leveraging SAP BTP for integration and governance.
Real-Time Data Analytics
Implemented SAP Datasphere as the unified data foundation to provide real-time visibility across inventory, sales, and customer behavior.
Automation of Retail Workflows
Deployed automated ETL and data pipelines to accelerate reporting and eliminate manual errors.
AI-Driven Personalization
Integrated advanced analytics models to predict customer trends and recommend personalized offers.
Unified Dashboards
Developed intuitive executive dashboards combining sales, marketing, and operational KPIs in a single interface.
Technologies & Services Used
SAP Datasphere
SAP BTP
Cloud Platform Modernization
Data Engineering & Analytics
Business Process Automation
AI & Machine Learning
Results & Impact
Through this engagement, the retailer gained complete control and transparency over its operations, marketing performance, and inventory management.
Faster Time-to-Insight
Achieved a 50% reduction in time-to-insight by implementing automated analytics pipelines that streamlined data processing and reporting across departments.
Higher Marketing ROI
Delivered a 35% improvement in marketing ROI through AI-driven personalization, optimized customer targeting, and data-backed campaign orchestration.
Lower Infrastructure Costs
Reduced infrastructure expenses by 40% following cloud migration, enabling scalable compute resources and eliminating dependency on legacy systems.
Real-Time Inventory Accuracy
Enhanced inventory reliability with unified, cross-channel visibility that enabled precise stock tracking, demand forecasting, and faster replenishment.
Improved Customer Engagement
Strengthened customer engagement through predictive personalization models that tailored experiences, increasing loyalty and repeat conversions.
Enhanced Operational Efficiency
Created a data-driven retail environment where teams operate with agility, deeper insights, and improved coordination across business functions.