Technology has enabled usage of different advanced technological applications and has shaped and will continue to shape our way to work (Acemogly & Restrepo, 2019). Machine learning which lies in the heart of artificial intelligence is “one of today’s most rapidly growing technical fields…” (Jordan, 2015). Predicting future sales plays a key role in maintaining a profitable and growing business. For years, organizations have attempted to improve their sales forecasting by taking advantage of computer and information system technologies (Moon et al., 2003) and controllers are expected to have a sufficient data analytics skill set (Oesterreich & Teuteberg, 2019). This leads to the hypothesis that controllers are using advanced tools to make b...
Abstract—Sales-Demand Forecasting uses machine learning model to forecast demand of a product and to...
The topic of this master thesis is to determine whether product positioning and sales correlation ca...
Abstract— Machine learning is an area of research focused on comprehending and developing "learning"...
Predictive sales analysis based on previous data is crucial for organizations to make educated decis...
The primary objective of this study was to design and implement a machine learning-based sales forec...
In a world that is moving faster and faster, a company’s ability to align to market changes is becom...
Retail companies, as production systems, must use their resources efficiently and make strategic dec...
In this article, we explore how machine learning (ML) and enterprise resource planning (ERP) systems...
Abstract — Machine learning is revolutionizing all facets of life and is becoming a significant fact...
Abstract—Machine learning algorithms forecast the current output using historical data as input. For...
Title: Exploring the technology of machine learning to improve the demand forecasting Authors: Vikto...
Abstract—Future sales are projected using a system called sales forecasting. It can be used to estab...
Future predictions have various applications, including stock prices, house market prices, and compa...
Abstract: The amounts of data predicted to increase at an exponential rate in the future. The modifi...
The purpose of this research is to investigate current company business process from sales forecasti...
Abstract—Sales-Demand Forecasting uses machine learning model to forecast demand of a product and to...
The topic of this master thesis is to determine whether product positioning and sales correlation ca...
Abstract— Machine learning is an area of research focused on comprehending and developing "learning"...
Predictive sales analysis based on previous data is crucial for organizations to make educated decis...
The primary objective of this study was to design and implement a machine learning-based sales forec...
In a world that is moving faster and faster, a company’s ability to align to market changes is becom...
Retail companies, as production systems, must use their resources efficiently and make strategic dec...
In this article, we explore how machine learning (ML) and enterprise resource planning (ERP) systems...
Abstract — Machine learning is revolutionizing all facets of life and is becoming a significant fact...
Abstract—Machine learning algorithms forecast the current output using historical data as input. For...
Title: Exploring the technology of machine learning to improve the demand forecasting Authors: Vikto...
Abstract—Future sales are projected using a system called sales forecasting. It can be used to estab...
Future predictions have various applications, including stock prices, house market prices, and compa...
Abstract: The amounts of data predicted to increase at an exponential rate in the future. The modifi...
The purpose of this research is to investigate current company business process from sales forecasti...
Abstract—Sales-Demand Forecasting uses machine learning model to forecast demand of a product and to...
The topic of this master thesis is to determine whether product positioning and sales correlation ca...
Abstract— Machine learning is an area of research focused on comprehending and developing "learning"...