• Improve Customer Engagement
    • Customer Churn. Stop guessing on who’s likely to spend less with you; understand the empirical drivers of reduced spend and be able to focus on “at-risk” customers.
    • Customer Defection. Don’t get blindsided when a customer surprisingly decides to take their business elsewhere. Discover what keeps customers, customers and focus your resources on those challenges.
    • Repurchase Propensity. Make outreach efforts targeted by knowing which customers are likely to repurchase from you.
  • Set Informed Targets
    • Product Demand.. Bring sophisticated analytics to the process you use to forecast product demand.
    • Optimize Product Distribution. With a better grip on product demand, proactively stock it through your distribution network.
  • Device Failure
    • Product Lifecycle. Yes, predictive analytics can even learn patterns that dictate a product’s life span. Monitor what causes product failure and get ahead of those events.
    • Warranty Related Issues. Gain a better understanding of today’s liability from faulty or old product and employ proactive measures.