Enhanced Portable Customer Experience Using Community Computation in Offline Retail

  • Bineeth KuriakoseEmail author
  • Varghese Mathai
  • Arun Baby
  • Jeexson Jose
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 26)


Seeking out customer reviews has become such standard part of the buying process for people these days that every retailer needs to be thinking about them. But often customer reviews are found extensively in online shopping sites such as Amazon, Flipkart etc. and social media sites such as Facebook, twitter etc. But when a product is purchased from a retailer offline, these reviews are usually unattended and mining for the exact review will be time-consuming. Also, in large super-markets, the customer interaction is not as much as in online shopping so as to provide with details such as related products, what products were also purchased by the product who purchased the particular product etc. All these drawbacks are erased with our proposal to enhance customer interactivity through a smartphone application. Our proposed system uses a unique concept of ‘community-computation’, a variation of distributed systems for processing. The results of the proposed system show that by implementing such a real time system, the shopping experience of a normal customer can be enhanced and also the same will pave way for next-generation shopping.


Review Ratings Offline shopping Community computation Customer experience 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Bineeth Kuriakose
    • 1
    Email author
  • Varghese Mathai
    • 1
  • Arun Baby
    • 1
  • Jeexson Jose
    • 1
  1. 1.Department of Computer Science and EngineeringMuthoot Institute of Technology and ScienceErnakulamIndia

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