Supply Chain Planning Analytics Improves Inventory Visibility and Supply Chain Agility

Implemented a centralized Supply Chain Planning Analytics solution that empowered planners with real-time insights, proactive alerts, and data-driven planning capabilities.

14

Supply chain planning analytics subject areas delivered  

3

Planning and operational systems integrated into a unified analytics platform

5

Initial supply chain planners enabled through APCC deployment

Executive Summary

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.

Submit Your Details to See the Complete Transformation Story 

Transformation Unlocked!

Use the top navigation menu or scroll down to explore the details.

Client Overview

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 companyoperatesacross multiple international markets and is supported by a large, specialized workforce driving end-to-end healthcare innovation.

Limited Planning Visibility Restricted Proactive Supply Chain Decision-Making

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.

Limited Access to Planning Intelligence

Limited Access to Planning Intelligence

Planners lacked timely visibility into demand forecasts, replenishment plans, inventory positions, and production schedules needed for effective planning

Manual Planning Analysis

Manual Planning Analysis

Significant effort was required to gather, prepare, and analyze planning data, reducing planning efficiency and responsiveness

Absence of Proactive Risk Monitoring

Absence of Proactive Risk Monitoring

The organization lacked automated alerts and exception monitoring capabilities to identify potential inventory, supply, and production risks early

Difficulty Evaluating Planning Scenarios

Difficulty Evaluating Planning Scenarios

Limited planning visibility made it challenging to assess the impact of demand changes, inventory fluctuations, supplier delays, and production decisions before execution

Limited Planning Visibility Restricted Proactive Supply Chain Decision-Making

Limited Access to Planning Intelligence

Limited Access to Planning Intelligence

Planners lacked timely visibility into demand forecasts, replenishment plans, inventory positions, and production schedules needed for effective planning

Manual Planning Analysis

Manual Planning Analysis

Significant effort was required to gather, prepare, and analyze planning data, reducing planning efficiency and responsiveness

Absence of Proactive Risk Monitoring

Absence of Proactive Risk Monitoring

The organization lacked automated alerts and exception monitoring capabilities to identify potential inventory, supply, and production risks early

Difficulty Evaluating Planning Scenarios

Difficulty Evaluating Planning Scenarios

Limited planning visibility made it challenging to assess the impact of demand changes, inventory fluctuations, supplier delays, and production decisions before execution

A Centralized Planning Analytics Platform for End-to-End Supply Chain Visibility

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.

Services Provided
  • Conducted discovery workshops and planning requirements analysis  
  • Implemented and configured Oracle APCC  
  • Performed planning analytics design, development, testing, and deployment  
  • Integrated planning, forecasting, inventory, and operational data sources  
  • Developed dashboards, reports, KPIs, alerts, drill-down analytics, and planning workspaces  
  • Conducted user acceptance testing, training, knowledge transfer, and rollout support  
  • Established a scalable analytics framework supporting future planning analytics requirements 
Business Solution

The solution delivered analytics capabilities across four major supply chain planning areas: 

  • Demand Planning Analytics: Providing visibility into Forecast Accuracy, Order Forecasts, Forecast Variances, Demand Trends 
  • Inventory Planning Analytics: Providing visibility into Inventory Overview, Inventory by Organization, Inventory Status, Safety Stock versus Projected Inventory, Months on Hand (MOH)   
  • Production Planning Analytics: Providing visibility into Production Plan Overview, Fill Planning and Scheduling, Pack and Label Planning, Production Schedule Performance   
  • Supply Planning Analytics: Providing visibility into Plan versus Actual Shipments, Planning Recommendations, Replenishment Plans, Supply Chain Exceptions and Alerts
Technical Solution
  • Implemented Oracle Advanced Planning Command Center (APCC) as the enterprise planning analytics platform  
  • Integrated planning data from Oracle ASCP, demand forecasts from Demantra, and operational data from Oracle EBS  
  • Delivered dashboards, KPIs, alerts, guided navigation, and drill-down reporting capabilities  
  • Enabled planning visibility through standardized metrics, hierarchies, and planning dimensions  
  • Automated daily refresh of planning analytics and reporting data  
  • Established a centralized planning analytics environment supporting future supply chain planning initiatives  

Measurable Business Impact Through Intelligent Supply Chain Planning

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.

Improved Planning Effectiveness

Enabled planners to make faster, more informed decisions through real-time visibility into demand, inventory, production, and supply plans

Enhanced Inventory Visibility

Provided comprehensive insight into inventory positions, safety stock levels, projected inventory balances, and months-on-hand metrics

Proactive Risk Management

Enabled early identification of supply chain risks through automated alerts, exception monitoring, and planning recommendations

Reduced Manual Reporting Effort

Automated planning data consolidation and reporting processes, significantly reducing the time required for planning analysis

Increased Organizational Alignment

Established standardized planning metrics, KPIs, and reporting definitions across supply chain, manufacturing, and planning teams

Greater Supply Chain Agility

Allowed planners to evaluate planning scenarios and understand the impact of supply chain decisions before execution, improving responsiveness to changing business conditions

Tech Stack Summary

The solution leveraged Oracle’s advanced supply chain planning ecosystem combined with enterprise data integration and analytics technologies to deliver real-time planning intelligence.

Data Sources
Data Integration
Data Warehouse
Data Visualization

Optimize Supply Chain Planning with Smarter Analytics

Discover how advanced supply chain planning analytics can improve inventory visibility, planning accuracy, and operational performance across your organization.