From Pixels to Predictions: a Deep Dive into the Synergy of Machine Learning and IoT

EasyChair Preprint 12090

Abstract

This paper explores the dynamic integration of Machine Learning (ML) and the Internet of Things (IoT) to amplify sales and optimize supply chain efficiency. Through a comprehensive examination of their synergy, we delve into the transformative impact on diverse industries, with a focus on the amalgamation of ML algorithms and IoT-generated data. By harnessing the power of predictive analytics derived from IoT-connected devices, organizations can gain valuable insights for strategic decision-making. The interplay between ML and IoT holds immense potential in reshaping sales strategies and streamlining supply chain operations.

Keyphrases: IoT, Predictive Analytics, Sales Optimization, Supply Chain Efficiency, machine learning

@booklet{EasyChair:12090,
  author    = {Wajid Kumar},
  title     = {From Pixels to Predictions: a Deep Dive into the Synergy of Machine Learning and IoT},
  howpublished = {EasyChair Preprint 12090},
  year      = {EasyChair, 2024}}