Business process automation, data analytics and sales performance: Basis for business operations improvement framework in merchandizing enterprise

This study aimed to determine to assess the business process automation, data analytics, and sales performance in merchandizing business enterprises to improve its operations.Specifically, it aimed to determine the business process automation in merchandizing enterprise in terms of customer boarding, order processing and invoice payments, assess the data analytics application in terms trends identification, customer behavior prediction, marketing campaign optimization; describe the enterprise sales performance in terms of sales volume, sales value and sales in pipeline; test the significant relationship of business process automation, data analytics and sales performance and to develop a framework to improve business operations in merchandizing enterprise.This study used the descriptive type of research and used 400 respondents to collect data.The finding showed that the respondents moderately agreed on the business process automation applied in merchandizing enterprise in terms of customer boarding, order processing and invoice payments.They moderately agreed on the application of data analytics in trends identification, customer behavior prediction, marketing campaign optimization.There is an average sales performance in merchandizing enterprises studied in terms of sales volume, sales value and sales in pipeline.There is highly significant relationship between business process automation, data analytics and sales performance.Business operations improvement framework for merchandizing enterprises was developed.

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Publication Details

Journal
International Journal of Research Studies in Management
Published
2024-08-15
DOI
https://doi.org/10.5861/ijrsm.2024.1228
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Business process automation, data analytics and sales performance: Basis for business operations improvement framework in merchandizing enterprise

Jie Xiao
International Journal of Research Studies in Management
Big Data and Business Intelligence
article

Business process automation, data analytics and sales performance: Basis for business operations improvement framework in merchandizing enterprise

Jie Xiao
article en

Abstract

This study aimed to determine to assess the business process automation, data analytics, and sales performance in merchandizing business enterprises to improve its operations.Specifically, it aimed to determine the business process automation in merchandizing enterprise in terms of customer boarding, order processing and invoice payments, assess the data analytics application in terms trends identification, customer behavior prediction, marketing campaign optimization; describe the enterprise sales performance in terms of sales volume, sales value and sales in pipeline; test the significant relationship of business process automation, data analytics and sales performance and to develop a framework to improve business operations in merchandizing enterprise.This study used the descriptive type of research and used 400 respondents to collect data.The finding showed that the respondents moderately agreed on the business process automation applied in merchandizing enterprise in terms of customer boarding, order processing and invoice payments.They moderately agreed on the application of data analytics in trends identification, customer behavior prediction, marketing campaign optimization.There is an average sales performance in merchandizing enterprises studied in terms of sales volume, sales value and sales in pipeline.There is highly significant relationship between business process automation, data analytics and sales performance.Business operations improvement framework for merchandizing enterprises was developed.

International Journal of Research Studies in ManagementVol. 12(9)
Lyceum of the Philippines University (PH)
Industry, innovation and infrastructure
Openalex Percentile: Top 81%
Big Data and Business Intelligence
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