• 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 production 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.