Client
A leading international retail chain with 900+ stores and omnichannel operations.
Client Background
The client manages millions of customer interactions every day across physical stores, eCommerce platforms, mobile apps, and partner channels. Despite its massive data footprint, the organization lacked a unified data foundation capable of supporting real-time insights, personalization, and advanced analytics.
Client Challenge
Retail operations were hindered by fragmented data across POS systems, CRM platforms, marketing tools, logistics dashboards, and inventory warehouses. The legacy data warehouse struggled with slow performance, limiting the organization’s ability to run timely reports or business intelligence queries.
Lack of real-time inventory visibility created discrepancies across store operations and online channels. Customer data existed in silos, preventing personalized promotions or targeted marketing. Forecasting was inaccurate due to unstructured data pipelines and inconsistent data quality. Regulatory compliance was also challenging due to missing governance frameworks. The business needed a future-ready data platform to support AI, personalization, and seamless omnichannel experiences.
Xevyte Solution
Xevyte designed and deployed a unified cloud-native enterprise data platform that integrated all retail systems through secure, scalable ingestion pipelines. A robust data lake and governed data warehouse enabled real-time streaming, advanced analytics, and consistent data quality. Unified customer 360 models consolidated data from POS, digital channels, loyalty programs, and supply-chain operations.
AI-driven segmentation, real-time promotions, dynamic pricing models, and demand forecasting were enabled through automated machine learning pipelines. The platform also introduced data lineage, metadata management, RBAC access, and governance layers to ensure compliance.
Business Impact
The client achieved 90% faster analytics generation, significantly enhanced real-time operational visibility, and improved decision-making across stores. Accurate demand forecasting reduced stockouts and improved supply-chain responsiveness. Campaign efficiency improved with AI-driven targeting, resulting in higher customer engagement. The enterprise now operates a scalable, future-proof data environment ready for AI-driven retail transformation.
Key Capabilities Delivered