Digital Transformation & Cloud Migration — Retail Enterprise

Legacy systems strangling growth

The client operated a regional retail network with on-premise infrastructure dating back over a decade. Systems couldn't communicate with each other, inventory data was stale, and data-driven decision-making was impossible. Every new integration was expensive and fragile.

Critical pain points:

• Siloed ERP, POS, and inventory systems with no integration
• Manual inventory reconciliation across 40+ locations
• Frequent stockouts and overstocking costing millions annually
• Zero real-time visibility across the supply chain
• IT team spending 80% of time on maintenance, not innovation

Strategy, cloud migration, and AI-powered forecasting

Kryst Digital began with a 6-week technology audit and transformation roadmap, then executed a phased cloud migration to AWS alongside a modern data platform build. The capstone was an AI-powered inventory forecasting system trained on 3 years of sales data.

• Technology audit and transformation strategy
• Phased lift-and-shift to AWS (ECS, RDS, S3)
• Modern data pipeline (AWS Glue, Redshift, Airflow)
• Unified data layer integrating ERP, POS, and logistics
• ML-based inventory forecasting model (scikit-learn + SageMaker)
• Real-time dashboards for operations and leadership

$2.1M saved. 40% fewer stockouts.

The transformation delivered measurable results within the first operating quarter. Stockout rates fell by 40%, driven by the AI forecasting model predicting demand patterns with 91% accuracy. Inventory holding costs dropped, and the operations team shifted from reactive to proactive.

• 40% reduction in stockout incidents
• $2.1M in annual operational savings
• 91% demand forecasting accuracy
• Real-time inventory visibility across all locations
• IT maintenance burden reduced from 80% to 30% of team capacity
• Legacy infrastructure fully decommissioned