Digital Strategy for Retail Conglomerate Experience Enhancement

Overview

The client, a multi-brand retail conglomerate with over 1,200 stores across Southeast Asia, operates in diverse verticals including fashion, electronics, home goods, and groceries. Despite its scale and brand recognition, the conglomerate faced mounting pressure from digital-native competitors, changing consumer expectations, and operational inefficiencies across its omnichannel ecosystem.

Client Background and Challenges

The conglomerate’s leadership recognized that its legacy systems, siloed data, and inconsistent customer experiences were impeding growth. With the rise of hyper-personalization, mobile-first shopping, and AI-driven engagement, the company needed a radical digital overhaul to remain competitive.

  • Disjointed Customer Journeys
    Customers experienced inconsistent interactions across physical stores, mobile apps, and websites.

  • Siloed Data Architecture
    Each brand operated its own CRM, ERP, and POS systems, leading to fragmented customer profiles and limited cross-brand insights.

abstract colored light wave on dark background slow motion

Solution Highlights

DeltaDot AI proposed a three-tier transformation strategy:
  • Hybrid Cloud Architecture: Migrated AI workloads to a hybrid cloud setup with GPU-enabled clusters for scalable model training and real-time inference. 
  • Containerized Microservices: Deployed AI services using Kubernetes, enabling modular scaling and fault tolerance. 
  • Unified Data Fabric: Integrated structured and unstructured data into a centralized data lake, optimized for AI analytics and model training. 
  • ML DevOps Enablement: Established CI/CD pipelines for machine learning, reducing deployment time and improving model lifecycle management. 
  • Automated Governance: Embedded policy-as-code frameworks to ensure continuous compliance with telecom regulations and data privacy laws. 

Business Impact

Customer Experience Transformation
  • + 45% Increase in Customer Satisfaction Scores (CSAT)
    Unified journeys and personalized interactions led to higher engagement and satisfaction.

  • + 60% Growth in Cross-Brand Purchases
    Customers began exploring and purchasing across brands, driven by intelligent recommendations and loyalty incentives.

 
 Operational Efficiency Gains
  • – 30% Reduction in Inventory Holding Costs
    Predictive analytics enabled smarter procurement and stock management.

  • – 40% Decrease in Customer Service Response Time
    AI chatbots handled 70% of queries autonomously, freeing up human agents for complex issues.

Conclusion

DeltaDot AI’s partnership with the retail conglomerate showcases how AI-driven digital strategy can unlock experience enhancement, operational agility, and business growth. By harmonizing customer journeys, unifying data, and embedding intelligence across operations, the conglomerate is now positioned as a leader in experience-led retail innovation.

This case study serves as a blueprint for other retail enterprises seeking to evolve from fragmented operations to intelligent, unified, and customer-centric ecosystems.

Case Study

Agile-Led DevSecOps Transformation Accelerates IT Delivery for Global Bank

Please fill in the information below to access/view the document

Apply Now

I currently work for