View in EDS PDF Full Text

Geiger Uses Machine Learning to Reduce Customer Churn in the Promotional Products Industry.

Saved in:
Bibliographic Details
Title: Geiger Uses Machine Learning to Reduce Customer Churn in the Promotional Products Industry.
Authors: Schemm, Jan1 (AUTHOR) jan.schemm@hs-duesseldorf.de, Schwarz, Christian1 (AUTHOR) christian.schwarz@hs-duesseldorf.de, Strickrodt, Marc2 (AUTHOR) mstrickrodt@geiger.com
Source: INFORMS Journal on Applied Analytics. Jun2026, p1. 19p.
Database: Business Source Ultimate
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: bsu
DbLabel: Business Source Ultimate
An: 194277301
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Geiger Uses Machine Learning to Reduce Customer Churn in the Promotional Products Industry.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Schemm%2C+Jan%22">Schemm, Jan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> jan.schemm@hs-duesseldorf.de</i><br /><searchLink fieldCode="AR" term="%22Schwarz%2C+Christian%22">Schwarz, Christian</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> christian.schwarz@hs-duesseldorf.de</i><br /><searchLink fieldCode="AR" term="%22Strickrodt%2C+Marc%22">Strickrodt, Marc</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> mstrickrodt@geiger.com</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22INFORMS+Journal+on+Applied+Analytics%22">INFORMS Journal on Applied Analytics</searchLink>. Jun2026, p1. 19p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=194277301
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1287/inte.2025.0292
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 19
        StartPage: 1
    Titles:
      – TitleFull: Geiger Uses Machine Learning to Reduce Customer Churn in the Promotional Products Industry.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Schemm, Jan
      – PersonEntity:
          Name:
            NameFull: Schwarz, Christian
      – PersonEntity:
          Name:
            NameFull: Strickrodt, Marc
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 05
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 26440865
          Titles:
            – TitleFull: INFORMS Journal on Applied Analytics
              Type: main
ResultId 1