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  2. Retail marketing - Wikipedia

    en.wikipedia.org/wiki/Retail_marketing

    A typical supermarket carries an assortment of between 30,000 and 60,000 different products. Assorted books. The term product assortment refers to the combination of both product breadth and depth.

  3. Retail assortment strategies - Wikipedia

    en.wikipedia.org/wiki/Retail_assortment_strategies

    Assortment plan is a trade-off between the breadth and depth of products that a retailer wishes to carry. Assortment optimization refers to the problem of selecting a set of products to offer to a group of customers to maximize the revenue that is realized when customers make purchases according to their preferences.

  4. Supply chain operations reference - Wikipedia

    en.wikipedia.org/wiki/Supply_chain_operations...

    As a result, disparate industries can be linked to describe the depth and breadth of virtually any supply chain. SCOR model 12.0 was based on six distinct management processes: Plan, Source, Make, Deliver, Return, and Enable. [8] [9]

  5. Big Data: A Problem of Breadth, Not Depth? - AOL

    www.aol.com/news/2013-05-29-big-data-a-problem...

    The Motley Fool talks with Qualtrics CEO Ryan Smith, one of Forbes' "Most Promising CEOs Under 35." Ryan's online data collection and analysis platform has enjoyed meteoric growth and success in ...

  6. Association for Retail Technology Standards - Wikipedia

    en.wikipedia.org/wiki/Association_for_Retail...

    The Standard Relational Data Model, UnifiedPOS, ARTS XML and the Standard RFPs. It is a division of the National Retail Federation. These standards enable the rapid implementation of technology within the retail industry by developing standards to ease integration of software applications and hardware devices.

  7. Apple Lesson of the Day: Product Depth vs. Breadth - AOL

    www.aol.com/news/2012-01-27-apple-lesson-of-the...

    Apple Lesson of the Day: Product Depth vs. Breadth. Evan Niu, The Motley Fool. Updated July 14, 2016 at 6:27 PM. ... That's 145 different models between just those top-four prolific OEMs, ...

  8. Data modeling - Wikipedia

    en.wikipedia.org/wiki/Data_modeling

    Data models represent information areas of interest. While there are many ways to create data models, according to Len Silverston (1997) [7] only two modeling methodologies stand out, top-down and bottom-up: Bottom-up models or View Integration models are often the result of a reengineering effort. They usually start with existing data ...

  9. Customer analytics - Wikipedia

    en.wikipedia.org/wiki/Customer_analytics

    Demographic, lifestyle, preference, loyalty data, behavior, shopper value and predictive behavior data points are key to the success of customer analytics. [citation needed] Retail management Companies can use data about customers to restructure retail management. This restructuring using data often occurs in dynamic scheduling and worker ...