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How Retailers Can Use Prescriptive Analytics/AI To Improve Customer Satisfaction

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What's Inside

Retailers are missing out on opportunities to improve customer satisfaction, and thus revenue, that are easily within reach. Customer satisfaction benefits current revenues as well as future revenues, driving return visits plus visits based on reviews and opinions shared among consumers directly and via social media.

This report explores how the use of analytics and AI (artificial intelligence) can positively impact retailers in the following ways:

  • Avoid out-of-stocks, pricing inconsistencies and quality issues, which are among the top customer reasons for leaving a store without making a purchase
  • Manage multiple fulfillment options—such as curbside pickup, in-store purchases and home deliveries—which all affect customer satisfaction
  • Improve operational efficacy in many areas, which correlates directly to consumer satisfaction
  • Enhance revenues, reduce costs, improve customer loyalty and drive greater efficiency

This report details how retailers can benefit from prescriptive-analytics platforms, which employ AI/machine learning plus other analytical methods, to improve customer satisfaction while enhancing revenues and margins.

This free report is sponsored by Zebra Technologies. Non-subscribers can access the report by completing the form on this page.

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