Browsing by Author "Zareen Tasnim"

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    Open Access
    A solution for industrial problem: Predicting the future market price using low amount of data with the help of Time Series Analysis
    (North South University, 2019) Istiak Rahman; Zareen Tasnim; Farzeen Ahmed Bashori; Mahdy Rahman Chowdhury; 1530861642; 1511908042; 1510223642
    Bangladesh has a lot of potentialities and possibilities as a third world country if it utilizes the blessings of technology properly. With the help of recent technology, different time series analysis models have been developed like ARIMA, ARIMAX, SARIMA, SARIMAX, and even a Facebook developed module called Prophet. Nowadays it is possible to detect the future trend of any business given any type of data. We have applied a similar approach to predict sales for one of the flourishing startups of the country named Rokomari.com. The struggle for any company is to sustain amongst its powerful competitors in its emerging years. It becomes easier to ace over the competitors if the company can have a prior preparation of its upcoming challenges. Our effort was to make the journey smoother so that it can sustain in building a flourishing business amongst its competitors. In order to do so, we have worked with “real world” sparse dataset of the company itself. We were successful in predicting their possible sales for coming years using time series models like SARIMA and Fb Prophet. The paper discuses briefly about the significance and possibilities created due to implementation of our custom build software.