Key highlights
$1M+
liability savings in annual time-off
25%
reduced accumulated time-out
95%
improved data accuracy
Zensar implemented an Al-driven supply chain risk intelligence platform that unified data, automated case management, and embedded GenAl insights for faster risk identification, proactive mitigation, and significantly improved supply chain decision-making capabilities.
Challenges
1.
Disconnected supply, demand, and yield data across multiple systems
2.
No standard KPI framework and yield data across multiple or consolidated view of systems risks
Solutions
1.
Data foundation and KPI framework
Unified ingestion of all key supply chain datasets
Bronze-silver-gold data model in Snowflake
Configurable, rule-based alert engine
Standardized KPI layer with intuitive drill-downs
2.
Automated case management
Auto-generated cases for critical exceptions
Role-based assignment for planners and stakeholders
Real-time case lifecycle tracking within Snowflake
Embedded GenAI Q&A bot enabling self-service analytics
3.
GenAl insights layer
Predictive models for recurring alerts and anomalies
AI-led root cause recommendations
Conversational analytics through Agentic AI Data Explorer
Impact
1.
10X faster identification of supply chain risks
2.
30-40% lower planner workload via automation
3.
Proactive risk mitigation, reducing operational disruptions
4.
Single source of truth strengthening cross functional collaboration
5.
Al-enhanced decision-making, speeding up RCA and forecasting