seasonality

LEVERAGING IOT DATA FOR ACCURATE TEMPERATURE FORECASTING IN THE FOOD AND BEVERAGE INDUSTRY

In the food and beverage industry, maintaining optimal temperature conditions is crucial for ensuring product quality and safety. The advent of the Internet of Things (IoT) has enabled real-time temperature monitoring through sensor networks, providing a wealth of data that can be harnessed for predictive analytics. This study presents a robust method for analyzing and forecasting IoT temperature data, specifically tailored to the operational dynamics of the food and beverage sector.

Implementation of discounts for commerce activation of domestic wholesale trade organizations

Practical peculiarities of activizing domestic wholesale trade organizations’ activities through sales promotion specific tools are considered. Particular attention is paid to such an instrument of business revitalization as introduction of a reasonable system of discounts for wholesale customers. There exist many benefits of providing discounts, among them: forming a competitive assortment model for a wholesale trade object, its flexible response to market demands and its adaptation to changing conditions, financial stability provision and profitability increase.