ENHANCING CAR SHOWROOM PROFITABILITY THROUGH K-MEANS CLUSTERING FOR CUSTOMER SEGMENTATION
Indonesia is known to be one of Southeast Asia’s largest markets for used cars. Used car showrooms in Indonesia are numerous and varied, some focus on one car brand, some focus on the lower middle class, some focus on the upper middle class, and some provide all types of cars. One of them is PQR...
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| Format: | Theses |
| Language: | Indonesia |
| Subjects: | |
| Online Access: | https://digilib.itb.ac.id/gdl/view/75889 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Indonesia is known to be one of Southeast Asia’s largest markets for used cars.
Used car showrooms in Indonesia are numerous and varied, some focus on one car
brand, some focus on the lower middle class, some focus on the upper middle class,
and some provide all types of cars. One of them is PQR Showroom, Even though
PQR Showroom was able to generate such a great amount of sales, the profits
generated by the PQR showroom are not proportional to the amount of capital
invested.
To increase the profit, we proposed the solution using descriptive analytics and
prescriptive analytics using K-Means. We also carry out simulations by comparing
sales in existing years with the results of the descriptive and prescriptive analytics
that have been made for the expected profit.
The results show that the simulation comparison with the data we have obtained
from descriptive and prescriptive analysis gives the best-expected profit compared
to the initial sales results at the PQR Showroom.
It shows that the data using descriptive and K-Means is great than before. The
fastest cars that have been sold is LCGC with the average days to be sold being
134.5 days. The most wanted car is MPY Toyota Avanza and the best profit that
can generate is SUV Toyota Fortuner.
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