Life Sciences Supply Chain Analytics
Stay ahead with swift response to demand volatility and overcome supply chain disruptions with AI-powered insights and automation. Leverage connected intelligence to deliver solutions faster and more reliably.
Stay ahead with swift response to demand volatility and overcome supply chain disruptions with AI-powered insights and automation. Leverage connected intelligence to deliver solutions faster and more reliably.
Data, digital technology, and AI are rapidly transforming the Life Sciences supply chain. They’re enhancing efficiency, safety, and regulatory compliance while enabling personalized medicine and faster drug development. From streamlining operations and automating repetitive tasks to improving demand forecasting and minimizing stockouts and waste, AI-driven insights are driving cost reduction and value generation across the Life Sciences organization. Advanced analytical solutions can help detect counterfeits and predict equipment failures before they happen and real-time tracking ensures proper functioning and regulatory compliance. With the power of AI, advancements in data and analytics hold immense potential to make the Life Sciences supply chain smoother, safer, and more patient-centric.
Supply Chain Segmentation with unique product and customer considerations drives faster response to market demand
End-to-end Inventory Management leads to higher product availability while minimizing excess stock or shortages, especially for products with short shelf life and high demand variability
Demand Sensing with enhanced Forecasting leads to improved ability to predict shifts, optimize inventory, and react to disruptions faster
Optimized logistics planning enables improved financial and performance metrics
Waste reduction and improved process efficiencies lead to lower operational costs
Predictive Asset Maintenance with Digital Twins improves Overall Equipment Effectiveness (OEE)
Predictive Risk and Risk Impact Identification reduces supply chain risk
Advanced Energy Management and Connected Workers drive sustainability
Enabling end-to-end visibility and an ability to solve problems with agility and speed with advanced analytics and applied AI
Leverage an integrated framework of real-time visibility and root-cause analytics with recommendations across the end-to-end supply chain. Enable rapid response targeting improvements in costs, inventory, quality, customer service, and asset utilization.
Enable a dynamic optimal stocking plan with detailed inventory views across products and locations. Drive proactive stocking of products to avoid out-of-stock items. Run an intelligent product manufacturing cycle based on demand forecast.
Optimize the short-term forecast by leveraging fresh sales data and probabilistic forecasting techniques. Capture the full value of demand sensing by adjusting inventory targets in a complementary manner.
Identify supply chain segments using advanced data analytics and define tailored supply chain strategies to maximize customer value proposition. Enable better planning, increased visibility, appropriate inventory policies by segment, and a reduction in variability in both demand as well as lead time.
Identify the causes of waste across different levers and build predictive alerts across the supply chain to reduce manufactured product and resource/material waste such as stales, damages, disappearances, etc.
Forecast issues to prevent them. Reduce downtime and total maintenance costs. Increase production by reducing instances of unforeseen shutdowns.
Connected Intelligence – Supply Chain: A Force Multiplier
Finished Goods Waste Reduction using AI powered Insights
Smarter Inventory Management
