One of the important factors of profitability is the volume of transactions. An accurate prediction of the future transaction volume becomes a pivotal factor in shaping corporate operations and decision-making processes. E-commerce has presented manufacturers with convenient sales channels to, with which the sales can increase dramatically. In this study, we introduce a solution that leverages the XGBoost model to tackle the challenge of predict-ing sales for consumer electronics products on the Amazon platform. Initial-ly, our attempts to solely predict sales volume yielded unsatisfactory results. However, by replacing the sales volume data with sales range values, we achieved satisfactory accuracy with our model. Furthermore, our results in-dicate that XGBoost exhibits superior predictive performance compared to traditional models.

Alongside automotive, manufacturing, and healthcare industries artificial intelligence (AI) is poised to have a high impact on the demand-driven consumer electronic industry.Tier-1 OEMs such as LG Electronics, Samsung Electronics, and Whirlpool Corporation have developed AI-driven consumer electronic products leveraging enhanced using experience. Key Questions Answered in this study:What is the significance of artificial intelligence?What are key R&D portfolio areas?Which are the consumer electronic products poised to be impacted by AI in the near term?What is the patent and funding scenario in the AI-driven consumer space?What types of strategies do stakeholders need to undertake to strengthen technologies?What are the key takeaways from the emerging categories of the electronics industry? PRN About Reportbuyer Reportbuyer is a leading industry intelligence solution that provides all market research reports from top publishers For more information: Sarah Smith Research Advisor at Reportbuyer.com