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Analytics & Optimization for Manufacturing

Analytics & Optimization for Manufacturing

Transform the vast amounts of data streaming in from across devices, supply chains and channels into decisions that drive agility and productivity.

“Using advanced analytics to manage the supply chain and reduce costs has become imperative. FICO has been critical to the optimization needs at Nestlé USA.”

- Shan Collins, Vice President of Planning & Center of Excellence, Nestlé USA

Solution Details

Meet customer demand for choice, customization and rapid delivery without sacrificing efficiency and quality.

IoT related technologies and data analytics are accelerating the arrival of the factory of the future. Predictive modeling, decision automation and optimization are essential elements of the manufacturing transformation leading to Industry 4.0. With FICO, you can put the power of these advanced analytics in the hands of business users. We help you achieve the agile decision making you need to adapt supply chains, production lines and distribution channels to the quickening cadence of today’s markets.

FICO solutions give you the means to handle the exploding complexity from high variation and low batch sizes while retaining and continuing to build on gains from Six Sigma, Lean and World Class Manufacturing. Rapid and real-time analysis of all kinds of data streaming in from IoT sensors, machines, bots and mobile workers support accurate on-the-spot decisions. Automated decisions and data-empowered work teams accelerate changeovers, perform preventive maintenance, reduce energy consumption and environmental impact, increase return on assets and enhance value from order through fulfillment.

Use Cases


Planning, forecasting and scheduling

Close the “forecasting gap” with broader data, faster analytic results and smarter decisions

Using advanced analytics, such as machine learning and explainable AI, you can go beyond traditional forecasting inputs to weigh a wider range of data for more accurate and dynamic projections of demand, planning production capacity and supply flows accordingly. Simulation and optimization let you rapidly explore any number of demand scenarios to improve long-term capital planning and short-term tactical planning. Scheduling optimization balances myriad factors, including goals like accelerating fulfillment to priority customers, improving overall equipment effectiveness (OEE), reducing safety stock and widening margins, to recommend the current best schedules.

  • Streaming data analytic platform
  • Business rules management system
  • Machine learning and explainable AI
  • Workforce scheduling
  • Scheduling optimization

Logistics and supply chain optimization

Ensure resources and capacity are where you need them when you need them

With more accurate demand forecasts as inputs, along with data from production and suppliers, supply chain optimization recommends the most efficient part and component inventory levels. Use it with simulation to develop tactical sourcing strategies for handling spikes in demand or coping with supply chain disruptions. Optimization can also be applied to other complexities of supply chain management, including logistics concerns such as warehouse dock door scheduling, transportation network design and production facility location.

  • Inventory optimization
  • Component transfer analysis
  • Supply network optimization
  • Vendor contract management and performance analysis
  • Rapid design/deploy of mobile analytics-driven apps

Production management

Improve quality, reduce costs, increase customization capabilities and optimize resource utilization

Manufacturing ERP systems gain agility when you use them with an external rules service. Without need for IT assistance, your business experts can easily set up rules-driven routines to accelerate complex, repetitive tasks, like updating material master lists and validating orders at the detailed level of component configurations. Streamlining such tasks reduces production delays, rework and scrap while facilitating custom factory builds.

  • Business rules automation and management
  • Streaming data analytic platform
  • Machine learning and explainable AI
  • Production scheduling optimization
  • Rapid design/deploy of mobile analytics-driven apps




Equipment diagnostic

Reduce downtime through predictive asset maintenance

Decision rules add intelligence to diagnostics systems, reducing time-to-identification of the root causes of production problems. Analytic models identify machines that are outliers in terms of expected ranges of production, speed or energy consumption — triggering maintenance intervention before failures occur. Machine learning can analyze a wide variety of factory data for insights — like relationships between humidity and machine energy consumption — that point to improvement opportunities.

  • Streaming data analytic platform
  • Business rules management system
  • Machine learning and explainable AI





Get products to customers with less spend, more speed

Optimization can identify the best choices among several million routing options in seconds. In fact, optimization, along with rules-driven automation and other advanced analytics, can help you make better decisions about all of the interrelated complexities of product fulfillment: container types, load building, carrier selection, truck load allocation, route assignment and more.

  • Business rules management system
  • Streaming data analytic platform
  • Machine learning and explainable AI
  • Load, trip and route planning optimization
  • Rapid design/deploy of mobile analytics-driven apps




Case Study

Nestlé USA

Nestlé USA Applies Optimization Models to Save on Transportation and Production Costs.

FICO® Xpress Optimization


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