Mary Purk

Mary Purk

Chicago, Illinois, United States
3K followers 500+ connections

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About

As the Co-Founder and Executive Director of AI at Wharton, Mary Purk leads the academic…

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Activity

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Experience

  • The Wharton School Graphic

    The Wharton School

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    Philadelphia, Pennsylvania, United States

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    Greater Chicago Area

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    Greater Chicago Area

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    Greater Chicago Area

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    Chicago

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    Salt Lake City and Chicago

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    Salt Lake City

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    Chicago

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    Greater Chicago Area

Education

Licenses & Certifications

Publications

  • Accelerating AI Adoption

    Intelligence Briefing

    Podcast reveals key tactics to employ to ensure successful adoption of AI by your team.

    See publication

  • The AI Ethics Officer and Responding to Data Standards and Accountability

    Journal of AI, Robotics & Workplace Automation

    This opinion piece highlights how AI leaders and enthusiasts can evangelize their teams to be responsible for data privacy and AI models with three key terms: explainability, monitorability and fairness. In addition, CEOs and COOs should commit to data safeguarding, accountability and cultural change with the hiring of an AI/data ethics officer to lead the way.

    See publication

  • Creating Analytic Impact with Data and Storyteling

    Tableau Data Summit

    Companies are quickly recognizing that artful storytellers are the last puzzle piece needed to maximize the investment in data science, data lakes, and terabytes of data. Companies are increasingly engaging in innovative corporate strategies to promote storytelling through experiential learning, test and learn practices, and the power of upstream problem solving. New technologies and applications, such as ML, blockchain, and AI are influencing corporate data and analytics strategies in ways…

    Companies are quickly recognizing that artful storytellers are the last puzzle piece needed to maximize the investment in data science, data lakes, and terabytes of data. Companies are increasingly engaging in innovative corporate strategies to promote storytelling through experiential learning, test and learn practices, and the power of upstream problem solving. New technologies and applications, such as ML, blockchain, and AI are influencing corporate data and analytics strategies in ways that are only partially understood.

    See publication

  • Category Management, The Role of Supplier Organizations

    Food Marketing Institute

    Fifth in a series of implementation guides. This guide provides retailers and wholesalers with a view of the roles that suppliers can play in a collaborative category management process. The guide offers scorecards that a company can use in assessing potential partners. It describes ways to overcome obstacles that may arise in collaborations. It also includes a description of the principles essential to an effective collaboration that will yield benefits to both partners, as well as enhanced…

    Fifth in a series of implementation guides. This guide provides retailers and wholesalers with a view of the roles that suppliers can play in a collaborative category management process. The guide offers scorecards that a company can use in assessing potential partners. It describes ways to overcome obstacles that may arise in collaborations. It also includes a description of the principles essential to an effective collaboration that will yield benefits to both partners, as well as enhanced consumer value.

    Other authors
    • Robert Blattberg

  • Category Management, Information Technology,

    Food Marketing Institute

    Fourth in a series of Category Management Guides focused on Information Technology as it relates to category management.

    Other authors
    • Robert Blattberg

  • EDLP, Hi-Lo, and Margin Arithmetic


    Journal of Marketing

    We examine the viability of an EDLP pricing strategy in the supermarket grocery industry. We
    address four questions: (a) What is EDLP in practice? (b) How well does EDLP work? (c) What
    does it take to make EDLP work? (d) When and how should EDLP be employed? In two separate
    series of field experiments in 26 product categories conducted in an 86 store grocery chain, we find
    that a 10% EDLP category price decrease led to a 3% sales volume increase, whereas a 10% Hi-Lo
    price…

    We examine the viability of an EDLP pricing strategy in the supermarket grocery industry. We
    address four questions: (a) What is EDLP in practice? (b) How well does EDLP work? (c) What
    does it take to make EDLP work? (d) When and how should EDLP be employed? In two separate
    series of field experiments in 26 product categories conducted in an 86 store grocery chain, we find
    that a 10% EDLP category price decrease led to a 3% sales volume increase, whereas a 10% Hi-Lo
    price increase led to a 3% sales decrease. Because consumer demand did not respond very much
    to changes in everyday price, we found large differences in profitability. An EDLP policy reduced
    profits by 18% while Hi-Lo pricing increased profits by 15%. We show that an everyday price
    reduction of 10% requires a sales increase of over 39% in order to maintain existing profit levels,
    an unlikely scenario in the eyes of most retail experts. In a third study, we increased the frequency
    of shallow price deals in the context of higher everyday prices and find a 3% increase in unit
    volume and a 4% increase in profit. Finally, we draw a conceptual distinction between “value
    pricing” at the Back Door and EDLP pricing at the Front Door.

    Other authors
    • Steve Hoch
    • Xavier Dreze
    See publication

  • Shelf Management and Space Elasticity

    Journal of Retailing

    Shelf management is a difficult task in which rules of thumb rather than good theory and hard
    evidence tend to guide practice. Through a series of field experiments, we measured the
    effectiveness of two shelf management techniques: "space-to-movement", where we customized
    shelf sets based on store-specific movement patterns; and "product reorganization" where we
    manipulated product placement to facilitate cross-category merchandising or the ease of
    shopping. We found modest…

    Shelf management is a difficult task in which rules of thumb rather than good theory and hard
    evidence tend to guide practice. Through a series of field experiments, we measured the
    effectiveness of two shelf management techniques: "space-to-movement", where we customized
    shelf sets based on store-specific movement patterns; and "product reorganization" where we
    manipulated product placement to facilitate cross-category merchandising or the ease of
    shopping. We found modest gains (4%) in sales and profits from increased customization of
    shelf sets and 5-6% changes due to shelf reorganization. Using the field experiment data, we
    modeled the impact of shelf positioning and facing allocations on sales of individual items. We
    found that location had a large impact on sales, whereas changes in the number of facings
    allocated to a brand had much less impact as long as a minimum threshold (to avoid out-ofstocks) was maintained.

    Other authors
    • Steve Hoch
    • Xavier Dreze
    See publication

Languages

  • Spanish

    Elementary proficiency

Organizations

  • OpenAI Forum

    General Member

    - Present

    The OpenAI Forum is a new initiative that brings together select domain experts, academics and students to discuss and collaborate on the present and future of AI.

  • Gartner/Evanta CDAO community

    AI expert

    - Present

    As a member, I participate as an AI adoption expert on panels or a moderator and contribute to the exclusive communities of C-level executives from the world’s leading organizations to share innovative ideas, validate strategies and solve critical leadership challenges around workplace adoption of AI tools and AI and data literacy.

  • University of Illinois College of Business Alumni Association

    Board Member

    - Present

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