IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v20y1990i6p29-38.html
   My bibliography  Save this article

CoverStory—Automated News Finding in Marketing

Author

Listed:
  • John D. Schmitz

    (Information Resources, 200 Fifth Avenue, Waltham, Massachusetts 02154)

  • Gordon D. Armstrong

    (Ocean Spray Cranberries, 1 Ocean Spray Drive, Lakeville-Middleboro, Massachusetts 02349)

  • John D. C. Little

    (Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts, 02139)

Abstract

Ocean Spray Cranberries, a $1 billion fruit-processing cooperative, tracks sales and assesses the effectiveness of its marketing programs with large data bases collected through bar-code scanners in supermarkets. Their level of detail is so great that it can obscure important facts and trends. Ocean Spray needed to automate as much of the analysis as possible. Working with Ocean Spray, Information Resources developed an expert system, CoverStory, to uncover the important facts and trends in the data base. Using a series of subanalyses, CoverStory reveals brands and markets that are newsworthy and identifies marketing factors that may be causing changes in these brands and markets. CoverStory is part of an overall DSS at Ocean Spray that permits a single marketing professional to manage the process of alerting all the marketing and sales managers to key problems and opportunities and to provide them with daily problem-solving information.

Suggested Citation

  • John D. Schmitz & Gordon D. Armstrong & John D. C. Little, 1990. "CoverStory—Automated News Finding in Marketing," Interfaces, INFORMS, vol. 20(6), pages 29-38, December.
    • Handle: RePEc:inm:orinte:v:20:y:1990:i:6:p:29-38
    DOI: 10.1287/inte.20.6.29
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/inte.20.6.29
    Download Restriction: no
    File URL: https://libkey.io/10.1287/inte.20.6.29?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Berend Wierenga & Gerrit H. Van Bruggen, 2001. "Developing a Customized Decision-Support System for Brand Managers," Interfaces, INFORMS, vol. 31(3_supplem), pages 128-145, June.
    2. Dapeng Cui & David Curry, 2005. "Prediction in Marketing Using the Support Vector Machine," Marketing Science, INFORMS, vol. 24(4), pages 595-615, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:orinte:v:20:y:1990:i:6:p:29-38. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.