Authors :
Shankar Karande; Sainath Kolpe; Gayatri Korbad; Onkar Komatwar; Radhika Adki
Volume/Issue :
Volume 9 - 2024, Issue 3 - March
Google Scholar :
https://tinyurl.com/4h4sazwy
Scribd :
https://tinyurl.com/4d354ysj
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24MAR199
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
In today’s business environment, the
combination of advanced technology and data-driven
insights has revolutionized key aspects of operational
efficiency and strategic decision- making. This abstract
summarizes the essence of four critical areas in this
context: demand forecasting using machine learning
methods, inventory management systems, location-based
data analytics, and market sales prediction using
machine learning. These domains play a key role in
shaping the success of businesses by enabling them to
proactively respond to market trends, increase customer
satisfaction, optimize supply chains and make informed
decisions. This paper offers an extensive perspective on
these domains and highlights their importance in driving
business value, competitiveness and adaptability in
today’s fast-changing markets.
Keywords :
Retail Analytics, Data Science, Geospatial Analysis, Market Basket Analysis, Sales Prediction, Pricing Optimization, Assortment Planning, Customer Segmentation, Association Rules, Maximize Profit, Business Data Processing, Location analytics, Machine Learning, Big Data, Retail Operations.
In today’s business environment, the
combination of advanced technology and data-driven
insights has revolutionized key aspects of operational
efficiency and strategic decision- making. This abstract
summarizes the essence of four critical areas in this
context: demand forecasting using machine learning
methods, inventory management systems, location-based
data analytics, and market sales prediction using
machine learning. These domains play a key role in
shaping the success of businesses by enabling them to
proactively respond to market trends, increase customer
satisfaction, optimize supply chains and make informed
decisions. This paper offers an extensive perspective on
these domains and highlights their importance in driving
business value, competitiveness and adaptability in
today’s fast-changing markets.
Keywords :
Retail Analytics, Data Science, Geospatial Analysis, Market Basket Analysis, Sales Prediction, Pricing Optimization, Assortment Planning, Customer Segmentation, Association Rules, Maximize Profit, Business Data Processing, Location analytics, Machine Learning, Big Data, Retail Operations.
