Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/2074/20010
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dc.contributor.advisorKumar, U Dinesh
dc.contributor.authorMysore, Akshay
dc.contributor.authorBhatia, Raghav
dc.date.accessioned2021-06-21T14:52:23Z-
dc.date.available2021-06-21T14:52:23Z-
dc.date.issued2019
dc.identifier.urihttps://repository.iimb.ac.in/handle/2074/20010-
dc.description.abstractAny business that plans to be a sustainable entity has two main ways of ensuring future revenue, customer acquisition and customer retention. Customer loyalty indicated by repeated purchases by customers is the holy grail of any business. “Trends in Vogue”, the hair care salon division of CavinKare is also suffering from these problems. Along these lines, for many service-based businesses like medical clinics, hair salons, spas etc. clients who do not show up for appointments are very detrimental. These “no-shows” have the following effects on the businesses: 1) Loss of revenue for the Business 2) Opportunity cost for the Business 3) Extra waiting time for other customers Therefore, by analyzing the available data, we plan to design a model which will be able to predict these no-shows in advance so that the businesses can take appropriate measures to mitigate the no-shows and their effects eg. the business can call the client before the appointment as reminders/confirmation. The business can also implement policies like non-refundable deposits etc. to mitigate the chances of no-shows.
dc.publisherIndian Institute of Management Bangalore
dc.relation.ispartofseriesPGP_CCS_P19_135
dc.subjectCustomer retention
dc.subjectCustomer acquisition
dc.subjectHair treatment
dc.subjectHair salons
dc.subjectPersonal care industry
dc.titleAnalysis of factors affecting customer retention at “Trends in Vogue” hair Salons: No-show prediction
dc.typeCCS Project Report-PGP
dc.pages18p.
Appears in Collections:2019
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