Abstract:
Optimizing customer pleasure and experience is crucial in the world of service
companies. The difficulties salon administrators experience in coming up with efficient
service bundling techniques are addressed in this project. The goal of this study is to
improve the decision-making process for developing service bundles that are in line with
consumer preferences and corporate goals by utilizing the Apriori algorithm, a well-
known association rule mining tool. The suggested method entails gathering and
analyzing past transaction data from client interactions at the salon. The Apriori algorithm
can be used to identify frequently occurring services, exposing hidden patterns in client
preferences. Then, based on these patterns, service bundles are created to meet the various
needs of clients and encourage cross-selling.
This project contributes to the automation and optimization of service bundling
decisions through the use of the Apriori algorithm. Offering customized and pertinent
service packages improves the overall customer experience while also streamlining the
process for salon administrators. The findings of this study offer useful information about
service bundling tactics that promote customer loyalty and increase business income.
