FICO® Retail Action Manager
Fair Isaac Retail Action Manager
Products > Decision Management Applications > FICO® Retail Action Manager

FICO® Retail Action Manager

>> New York Times on How Sam's Club Wins with FICO Predictive Analytics.

FICO Retail Action Manager is a marketing decision application that predicts individual customer sales propensities across multiple products over time, maximizing the effectiveness of sales, merchandising and promotional efforts. Retail Action Manager uses Best Next Action™ predictive analytics to make smarter customer predictions, and optimization to recommend the immediate actions that will meet longer-term sales, marketing and merchandising objectives.

Key Benefits
  • Increase sales by understanding purchase patterns
    Optimize cross-sell capabilities by identifying "driver" products that inspire customers to buy higher-value products.
  • Develop more sophisticated merchandising strategies
    The integration of predictive analytics, optimization and deployment results in holistic campaign planning capabilities. Large retailers with multiple products can solve complex merchandising and sales challenges to better meet business goals.
  • Improve customer interactions within the store environment
    Increase store traffic, trip frequency, conversion, and purchases per visit.
  • Get more out of your marketing dollars
    Improve response rates for merchandizing and promotional campaigns, without increasing spending levels.
  • Inspire customer loyalty
    Minimize attrition by determining which customers should receive promotional offers, and when they should receive them.
  • Collaborate more effectively
    Retailers and manufactures benefit from enhanced transparency, and shared customer insight to develop optimal merchandising strategies.
Feature Highlights
  • Data integration and analysis
    An Intelligent Customer Database combines a vast repository of account and customer data with leading analytics to provide the most complete, relevant and timely information about customer habits and activities based on purchase behavior.
  • Predictive Analytics
    • Time-to-Event Scorecards use sophisticated modeling to predict not only what a customer will buy, but also when they will buy it.
    • The Propensity Engine uses time-to-event scorecards to predict an individual's purchase likelihood over hundreds of products, identifying key propensities over time.
  • Decision Optimization
    The Optimization Engine makes recommendations on ideal actions to take, based on sales or campaign goals, customer propensities and product level constraints. Outputs from the optimization engine include up-sell and cross-sell recommendations at the point of sale, store planning scenarios, merchandising strategies, and new decision rules.
  • Campaign Planning and Collaboration
    Retailer and supplier portals foster collaborative and transparent relationships between suppliers and retailers. Coordinated workflow tools and management portals can be used to derive insight from customer behavior and improve campaign planning.
Related Services

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