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Put the right product, in the right place, at the right time.
The product a consumer selects from a store shelf or from the online store is the culmination of a series of smart decisions by the manufacturer. To win the sale in today’s consumer-centric, demand-driven, ever-changing markets, you have to manage the tremendous complexity involved in producing more products, brands, packaging and sizes.
By putting the power of advanced analytics and optimization in the hands of your business users, FICO decision management solutions help you handle the complexity while controlling costs and maintaining quality. As essential elements of Industry 4.0, predictive and prescriptive analytics identify the SKUs most important to your revenue, margin and market share goals. They reveal ways to increase value across the cycle from planning through order fulfillment.
Increase demand-driven agility while shrinking production costs and order fulfillment cycles.
As a CPG innovator, you’re making more frequent adjustments to your SKU portfolios based on market feedback and strategies for addressing unmet consumer needs, assortment gaps and growth pocket opportunities. Essential technologies include predictive analytics to understand changing demand patterns and produce more accurate forecasts, intelligent automation to keep master data in sync across your enterprise, and optimization and simulation to identify the most advantageous production schedules under various demand scenarios and business constraints.
Optimize pricing and discounts for changing consumer behavior and channel relationships.
Consumer sensitivities to price and other values, like convenience, vary by channel, retail format and delivery options. Optimization lets you to take all of these factors into consideration while balancing multiple business goals and constraints, as well as those of your cooperative marketing partners, to pinpoint the best pricing and promotional strategies.
Put inventory, capacity and supplies where current demand requires them.
Optimization recommends the best inventory levels for any number of demand scenarios. Use it with simulation to develop tactical sourcing strategies for handling spikes in demand or coping with supply chain disruptions. Analyze digital twins of supply chain processes to simulate more advantageous product flow paths. Optimization can also bring decision clarity to other complexities of supply chain management, including logistics concerns such as warehouse dock door scheduling, transportation network design and production facility location.
Reduce changeover time for product and packaging variations.
Fully leverage all the data being captured from IoT sensors, machines, cobots and work teams to understand what’s happening in production lines and how to accelerate processes. Optimization and simulation can be used to analyze digital twins, revealing opportunities for improvement in many areas, such as production scheduling and process flows, beverage and blend mixing, workforce scheduling and production facility location strategies.
Reduce downtime through predictive asset maintenance.
Decision rules add intelligence to diagnostics systems, reducing time-to-identification of the root causes of production problems. Predictive analytics 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.
Move products in more ways to more places with more speed and ease.
Optimization can identify the best choices among several million routing options in seconds. One company used it to cut planning time from 80 minutes to 2 minutes while increasing the number of distribution sites from 7 to 20. Another is using the technology to make hundreds of millions of SKU-level warehouse inventory decisions every day. And optimization, along with rules-driven automation and “What if?” scenario simulation, can help you make better decisions about all of the interrelated complexities of product fulfillment: packaging options, container types, dock door scheduling, load building, carrier and truck load allocation, route assignment and more.
Solving your biggest and most complex business problems.
FICO Optimization Community
Realize the promise of advanced analytics and decision management.
FICO Decision Technology Community
A high-performance execution platform to power and connect every decision.
FICO DMP Community
Solve complex supply chain network problems on a flexible platform while empowering end-users with what-if scenario capability.
When it comes to making simple, everyday decisions, our brains will naturally analyze a multitude of scenarios and make rapid tradeoffs. This reflexive thought process—based upon our experiences and the information at hand—is usually enoug...
Why optimization matters The practice of applying analytics to data in order to solve commercial problems and make better decisions is not new. Medium- to large-sized companies typically engage data scientists and analytics/ operations res...
Optimizing supply chain strategies and network designs keeps getting harder, with persistent challenges from increasing customer demands, disruptive competitors, and economic fluctuations. Supply chain experts are forced to manage complex ...
The adoption of predictive and prescriptive analytics across multiple industries is accelerating rapidly, fueled by the competitive need to drive business agility. The rationale for adoption is clear enough: Companies are sitting on mounta...