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Optimization and Disruption in Physical Retail Shopping Environment

Beryl Joceran Ngonga Dipoko
Master thesis
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URI
https://hdl.handle.net/11250/3020297
Date
2022
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  • Master's theses in Multimedia and Educational Technology [38]
Abstract
Every year, queues cost brick-and-mortar retailers billions in lost revenues, and

consumers are growing more impatient about standing in line. To survive the

competition from e-commerce, stores need new innovations that can help kill

queues (Worldline, 2020).

If you have ever waited in a long line at the grocery store, for luggage at an

airport etc. then you have an image of it and you know the pain it brings when

you have to wait for someone.

Hence from these we understand that it is important to optimize checkout

at retail environment(store or complex) and for this to be 100% efficient, the

system to be proposed needs to be efficient and effective.

Bringing us to this research that we decide to conducted, which we shall solve

it by applying our main theory which is the Queuing Theory. From these

theory we decided to bring out two methods in other to solve this, firstly we

will need to synchronise the result of our research (i.e. The System) with the

retail environment for this optimization to be optimal, but from our research

we also discovered that there are cases where the retail environment will not

collaborate with us, hence looking at this situation, we decided to implement a

digital disruptive system for it to be used at retail environment.

The slight difference here is that, the retail environment(store or complex) will

not be in collaboration with us and hence we needed our system to be scalable

and adaptable for it to provide the ability to the system to work without the

needs of collaborating with the retail environment(store or complex).

Doing both of these cases, it will help us to increase the optimization of shopping

in retail environment (store or complex).

The main aims of our research was to Optimize Queue in Retail Environment

both in Rwanda and Norway since many people are still doing their shopping

physically hence we did research on 4 theory which help us through out our

research. Namely:

1. Queuing Theory

2. Microservices Theory

3. Software Design Theory

4. Qualitative Research Theory
 
 
 
Publisher
University of Agder

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