Implemented a centralized Supply Chain Planning Analytics solution that empowered planners with real-time insights, proactive alerts, and data-driven planning capabilities.
Supply chain planning analytics subject areas delivered
Planning and operational systems integrated into a unified analytics platform
Initial supply chain planners enabled through APCC deployment
A leading biotechnology company sought to improve supply chain planning effectiveness by providing planners and executives with greater visibility into planning data, inventory positions, forecast performance, production schedules, and supply chain risks. Existing analytics solutions focused primarily on historical operational data and lacked the planning insights required to support proactive supply chain decision-making.
DiLytics implemented a Supply Chain Planning Analytics solution based on Oracle Advanced Planning Command Center (APCC), integrating Oracle ASCP, Demantra Demand Management, and Oracle E-Business Suite data into a centralized planning analytics platform. The solution delivered analytics capabilities spanning demand planning, inventory planning, production planning, and supply planning while enabling automated alerts, drill-down reporting, and planning scenario analysis.
The implementation improved planning effectiveness, increased supply chain agility, enhanced inventory visibility, reduced manual reporting effort, and enabled planners to make more informed and proactive supply chain decisions.
A leading biotechnology company needed better visibility into demand forecasts, inventory levels, production schedules, and supply chain risks. DiLytics implemented a centralized Supply Chain Planning Analytics solution that enabled proactive planning, improved inventory management, automated risk monitoring, and enhanced supply chain decision-making through real-time analytics.
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The client is a global biopharmaceutical organization specializing in innovative therapies for rare genetic diseases, with a strong focus on research, development, and commercialization. The company operates across multiple international markets and is supported by a large, specialized workforce driving end-to-end healthcare innovation.
While the organization had analytics solutions supporting operational functions, planners lacked the visibility needed to evaluate planning scenarios, monitor inventory positions, assess forecast performance, and proactively identify supply chain risks. Manual processes and delayed access to planning information made supply chain management reactive rather than predictive.
DiLytics partnered with the client to implement a Supply Chain Planning Analytics solution based on Oracle Advanced Planning Command Center (APCC). The solution integrated planning and transactional data from Oracle ASCP, Demantra Demand Management, and Oracle E-Business Suite into a centralized analytics platform, providing planners and executives with real-time visibility into supply chain planning performance, inventory positions, forecast accuracy, production plans, and planning recommendations.
The solution delivered analytics capabilities across four major supply chain planning areas:
The solution delivered analytics capabilities across four major supply chain planning areas:
The Supply Chain Planning Analytics solution provided planners with real-time access to planning insights, enabling proactive risk management, improved inventory control, and more effective supply chain decision-making.
Enabled planners to make faster, more informed decisions through real-time visibility into demand, inventory, production, and supply plans
Provided comprehensive insight into inventory positions, safety stock levels, projected inventory balances, and months-on-hand metrics
Enabled early identification of supply chain risks through automated alerts, exception monitoring, and planning recommendations
Automated planning data consolidation and reporting processes, significantly reducing the time required for planning analysis
Established standardized planning metrics, KPIs, and reporting definitions across supply chain, manufacturing, and planning teams
Allowed planners to evaluate planning scenarios and understand the impact of supply chain decisions before execution, improving responsiveness to changing business conditions
Enabled planners to make faster, more informed decisions through real-time visibility into demand, inventory, production, and supply plans
Provided comprehensive insight into inventory positions, safety stock levels, projected inventory balances, and months-on-hand metrics
Enabled early identification of supply chain risks through automated alerts, exception monitoring, and planning recommendations
Automated planning data consolidation and reporting processes, significantly reducing the time required for planning analysis
Established standardized planning metrics, KPIs, and reporting definitions across supply chain, manufacturing, and planning teams
Allowed planners to evaluate planning scenarios and understand the impact of supply chain decisions before execution, improving responsiveness to changing business conditions
The solution leveraged Oracle’s advanced supply chain planning ecosystem combined with enterprise data integration and analytics technologies to deliver real-time planning intelligence.












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