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Driving Value with Retail POS Data

By Lea El Hage • September 20, 2017

Using dayparts and affinity analytics to deliver enhanced insights and higher ROI's 

At SwiftIQ, we believe that point-of-sale (POS) transaction data is the most valuable data for consumer goods retailers to optimize store-level decisions and grow cash flow. Increasingly, retailers and suppliers are collaborating with data infrastructures that enable joint contribution of data.1 SwiftIQ facilitates this collaboration by providing a platform that analyzes billions of records of receipt-level transaction and consumer data to optimize store-level assortment, promotion, merchandising, category management, media targeting, and digital personalization marketing efforts. It is the only on-demand platform that can analyze 100% basket-level POS data including non-UPC items like foodservice, coupons, and fuel. This ebook will outline how your company can maximize the value of transaction data using daypart and affinity analytics. 

 

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What you can expect to learn in this ebook:

  • How and why retailers and suppliers should use daypart analytics to make more informed marketing, supply chain, operational, and labor decisions
  • How affinity metrics can analyzed to understand shopper missions, as well as optimize promotions, display, store layout, and item assortments
  • How to implement daypart and affinity analyses into consumer marketing and personalization efforts
  • Why quantifying basket-value is essential for category management

 

Download the eBook

 

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