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Driving Value with Retail POS Data:

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

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Realizing the Value of Supermarket POS Data

The $1.1 trillion supermarket industry generates massive amounts of data, though few grocers use granular point-of-sale (POS) transaction logs to extract insights for operational intelligence and to address the modern consumer.  Historically, POS logs were cost prohibitive to store because even a small retailer could generate tens or hundreds of thousands of records daily. Discover what value lies hidden in this data and how modern technology now enables even the smallest of grocers to compete smarter to grow revenue, deliver more relevant experiences and maximize cash flow. 

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In this eBook, you will learn:

  • How changing consumer preferences and important trends like mobility, eCommerce, big data and personalization are quickly altering the competitive landscape
  • Why imminent threats, like the aggressive growth plans for AmazonFresh to expand in over 20 markets by 2014, are reason for adopting better data-driven strategies now
  • How POS transaction logs provide the key inputs to localization, inventory optimization, fact-based merchandising, labor utilization and identifying fraud
  • Why enabling granular POS data to be accessible on-demand is crucial for supply chain collaboration
  • How the drastic decline of storage fees and the emergence of powerful machine learning tools allow grocers to gain adaptive intelligence to make smarter decisions faster

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