Business Intelligent Smart Sales Prediction Analysis for Pharmaceutical Distribution and Proposed Generic Model: Analyze Benefit of Institutional Level Public Outreach Campaign to Business
ASHWYN KUMAR, Dr. Keerti Nilesh Mahajan
PDC’s- Pharmaceutical Distribution Company, CME - Continuing medical education, AAOS - American Academy of Orthopaedic Surgeons
The role of sales forecasting in Pharmaceutical distribution companies (PDCs) cannot be belittled by enterprises, as the process of outlining business plans that are accurate and ensure complete advantage, have a forceful impact on the robust sales for the enterprise. This study therefore aims to develop a generic model “Business Intelligent Smart Sales Prediction Analysis”, to predict sales for PDC. The model is a combination of Historical data and Time Series Forecasting (TSF). In Pharmaceutical distribution companies, Inventory Management is the greatest challenge since companies are in a continuous effort to increase their profits and reduce their costs. The Time Series Prediction sales models were built with different approaches including ARIMA methodology, Neural network, Advance neural network, Fuzzy neural network and more. The purpose of this paper is to study economic benefits from Institutional level Public Outreach Campaign to business. More specifically, the paper explores analysis of Annual Average Sales Before 2014 Vs. Annual Average Sales 2014 onwards also through T – test analysis to find value is significant or non-significant
Article Details
Unique Paper ID: 148447

Publication Volume & Issue: Volume 5, Issue 12

Page(s): 1039 - 1043
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