EconPapers    
Economics at your fingertips  
 

The Importance of Intelligent OCR Software in a Digital Loyalty Program

Florian Studener (), Yeelen Knegtering, Christin Barreira (), Oliver Reinking () and Richard C. Geibel ()
Additional contact information
Florian Studener: E-Commerce Institute
Yeelen Knegtering: CEO Klippa
Christin Barreira: Klaas Management
Oliver Reinking: Reinking Consulting
Richard C. Geibel: E-Commerce Institute

A chapter in Chances and Challenges of Digital Management, 2023, pp 103-109 from Springer

Abstract: Abstract From the first stamp-based loyalty system in the late nineteenth century up to today's digital cards and barcode coupled systems, loyalty programs have come a long way. With the aim to create incentives and to reward recurring customers, digitisation has changed and eased many processes around loyalty programs but its intentions. Nevertheless, digitisation by means of using OCR offers more than an easily created incentive for customers to either increase or repeat their purchases but offer the additional potential for detailed customer insights, personalised promotions, as well as a huge potential for the reduction of manual labour and reduced turnaround times for the verification and clearing processes within such programs. Within this article we will outline the roll-out of an artificial intelligence (AI) based optical character recognition application programming interface (API) used within a localised loyalty campaign for two shopping centres and highlight the core benefits of a fully automated process. Lastly, we will elaborate on the potential usage of such technologies for the generation of broader customer insights analysis.

Keywords: Loyalty; Digital transformation; OCR; AI; Costumer engagement (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-45601-5_10

Ordering information: This item can be ordered from
http://www.springer.com/9783031456015

DOI: 10.1007/978-3-031-45601-5_10

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-13
Handle: RePEc:spr:prbchp:978-3-031-45601-5_10