Manufacturing & Supply Chains

Manufacturers are under more and more pressure to streamline operations, reduce costs, and respond quickly to changing demand. The biggest contributing factors include:

  1. More competition & higher customer expectations
  2. Volatile demand makes it difficult to forecast supply with long lead times
  3. Shortened product life cycles and the dependencies on an outsourced multi-tier demand and supply network

Supply chains are now outsourced at some level and global with multiple sources of information. There is significant potential for increased efficiencies with the advent of cloud computing, big data, and IoT. Vitria manages information and process complexity with the VIA Platform (Visibility, Insights, Actions)

Highlights of VIA’s Analytic capabilities include:

  • Real Time Operational Visibility & Intelligence
  • Panoramic 360° View: Orders, Supply, Inventory, Quality, Factory, IoT, Telemetry
  • Intelligent actions for faster response to Demand Changes or Supply Disruptions
  • Advanced Analytics to predict and prevent disruptions before they happen
  • Digitize and automate processes that reside between enterprise systems


Product Lifecycle

Phase in and out products throughout their lifecyclePhase In / Phase Out of products or engineering changes to existing products requires close monitoring and tight coordination with supply chain operations. Poor transition planning can result in disappointing margin performance, inventory write-offs or lost market opportunities. VIA addresses this critical process with the following way.

  • Monitor & identify risks with new product launch schedule, and margin assumptions
  • Optimize phase in / phase out of new products to reduce risks of supply shortages and surplus
  • Ingest & analyze competitive, industry & market conditions


Supply Assurance

Analytics of all the data to provide supply assuranceAdvanced analytics provide historical, real-time and predictive views of supply chain data. VIA’s descriptive analytics includes KPIs and baselines, statistical summaries, multidimensional analysis, pattern matching, anomaly detection, trend analysis, and behavioral analytics. Descriptive analytics can be performed either continuously in real-time over streaming data or periodically over large batches of data.

  • Monitor production milestones, compliance, and logistics on a single platform, allowing supply chain partners to collaborate easily and make any adjustments as needed to meet demand.
  • Exception Driven Alerts with condition-based automated collaborative workflows
  • Advanced analytics that identifies & predict trends, patterns and prescribes best actions to take



Visibility into InventoryEnd-to-end visibility is essential in monitoring inventory, especially in the “black hole” that can occur when goods are in the hands of suppliers, contract manufacturers, and transportation partners within the trade network. This information is essential in order to meet customer requirement, maintain inventory at a minimum level, and avoid unnecessary logistics and handling costs.

  • Real Time Operational Visibility: Demand / Supply Balancing, Stocking Levels, Contractual Liability, In Transit, Telemetry, Demand Sensing etc.
  • Exception Alerts with automated collaborative workflows to all stakeholders
  • Workbench to optimize inventory investments with Advanced Analytics & Machine Learning



Managing assembly or machine operationsMonitoring and managing assembly or machine operations with a wide array of inputs and high technology equipment is a major challenge. Vitria’s advanced analytics provides visibility to complex processes and ensures continuous and efficient operations.

  • 360° view of factory operations: schedule, quality, supply, inventory & factory equipment
  • Advanced analytics identify trends and patterns to provide early warning & identify improvement opportunities
  • Predictive Maintenance and Quality using advanced analytics


Field Service

Quick technical assistance allowed by analyticsField service organizations take in numerous data streams, from customer information to machine performance information. All those data streams need to reside in the same place and be accessible to technicians on-site at client locations

  • Intelligent dispatch with optimized routes using telemetry data
  • Predictive Maintenance on equipment minimizes customer downtime
  • Monitor reverse logistics supply chain
  • Reduce spares inventory with machine learning