Impact of AI on E-Commerce Performance of Enterprises
DOI:
https://doi.org/10.48047/p0armw19Keywords:
AI personalized shopping, E- commerce, automated customer supportAbstract
Subjective and quantitative estimating are the two primary strategies for foreseeing future
patterns and results. Subjective estimating is regularly utilized when verifiable information is
missing or in circumstances where exact estimations are not conceivable. It depends on the
encounter and information of specialists, investigate bunches, or supposition overviews. Common
subjective estimating strategies incorporate the Delphi strategy, master boards, and showcase
studies. In spite of the fact that valuable in complex or questionable circumstances, subjective
determining is frequently wrong and can be impacted by subjectivity. Quantitative estimating
employments numerical models and chronicled information to foresee future results. Strategies such
as relapse investigation, time arrangement modeling (ARIMA), and huge information analytics offer
assistance make estimates more exact. Be that as it may, quantitative estimating depends on exact
information and can be troublesome when confronted with huge changes or unmeasurable variables.
Downloads
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
