Big data analytics (BDA) in supply chain management (SCM) is receiving a growing
attention. This is due to the fact that BDA has a wide range of applications in SCM, including …

Variations in sales over time is the main issue faced by many retailers. To overcome this
problem, we attempt to predict the sales by comparing the previous sales data of different …

The generation of forecasts is without a doubt one of the most significant areas in any
sector's operations. The ability of forecasting algorithms to deliver an accurate result is …

Wireless sensor network (WSN) is a collection of sensor nodes that distributed in an arbitrary
manner to solve a particular problem. The position of the node is predefined and based on …

Nowadays shop** malls and Big Marts keep the track of their sales data of each and every
individual item for predicting future demand of the customer and update the inventory …

This study talks about how data mining can be used for sales forecasting in retail sales and
demand prediction. Prediction of sales is a crucial task which determines the success of any …

In the era of big data and cloud computing, digital records of supermarket sales data and
other accompanying factors are ubiquitous. However, less than optimal WeeklySale s can …

In retailer domain predicting sales before actual sales plays a vital role for any retailer
company like Big Mart or Mall for maintaining a successful business. Traditional forecasting …

This chapter presents the significance of artificial intelligence (AI) in small and medium
businesses, focusing on sales forecasting for digital marketing. It includes a literature survey …

Forecasts have historically acted as the foundation for supply chain preparation and
execution. Forecasts are at the heart of supply chain decisions, and they have never been …