Supply Chain Analytics
Get ahead and drive agility in response to demand volatility and supply chain disruptions with AI-driven insights and automation using connected intelligence
In today’s fast-paced, disruption-prone business environment, semi-digitized or partially connected supply chains are no longer adequate. Businesses face increasing demand volatility, rising customer expectations, and frequent supply snags—making agility, visibility, and data-driven decision-making more critical than ever.
To stay competitive, organizations must shift to a modern, resilient, and intelligent supply chain model. C5i’s AI-driven Supply Chain Analytics solutions address this need through the high-speed accuracy of advanced data analytics and AI-powered insight, enabling human creativity, critical thinking, and quick, informed decision-making for high impact. Tap integrated, real-time business intelligence with C5i to improve revenue, margins, productivity, and customer experience.
Supply Chain Control Tower
Real-Time Supply Chain Visibility
Supply Chain-as-a-Service
Localized Supply Chains
Citizen Data Scientists
Hyper Segmentation
Partner-Platform Ecosystem
Continuous Experimentation
Supply Chain Segmentation with unique customer value proposition drives faster response to market demand
Predictive Asset Maintenance with Digital Twins improves Overall Equipment Effectiveness (OEE)
End-to-end Inventory Management leads to higher product availability, improved service levels, and improved realization of working capital & inventory
Waste reduction and improved process efficiencies lead to lower operational costs
Demand Sensing with Price & Promotions Forecasting leads to higher operating margins and sales
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 product categories and locations. Drive proactive stocking of product shelves 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 supply chains to reduce finished goods and resource/material waste as stales, damages, returns, disappearances, etc.
Forecast issues to prevent them. Reduce downtime and total maintenance cost. Increase production by reducing instances of the unforeseen shutdown.
The insights provided are something our team is very excited about. We appreciate the work you’ve been doing in helping to get this up and running as well as your patience with the information we’ve been working to supply. The option you’ve helped to add with the alternative to review the position of the cases as well as demand and how it compares with the ending inventory for the week will be a big win for us.