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ZENODO
Journal . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Journal . 2023
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2023
License: CC BY
Data sources: Datacite
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EMERGING TRENDS IN AI-POWERED SALES AUTOMATION AND CRM SYSTEMS FOR GLOBAL ENTERPRISES

Authors: Camila, Duarte; Lukas, Fischer; Haruto, Sakamoto;

EMERGING TRENDS IN AI-POWERED SALES AUTOMATION AND CRM SYSTEMS FOR GLOBAL ENTERPRISES

Abstract

The rapid evolution of artificial intelligence (AI) is redefining the landscape of sales automation and customer relationship management (CRM) in global enterprises. Traditional CRM systems, while effective for data organization, often struggle with scalability, personalization, and predictive capabilities in fast-changing markets. Emerging trends in AI-powered CRM and sales automation address these challenges by enabling intelligent lead scoring, predictive forecasting, hyper-personalization, and real-time customer engagement. Advanced technologies such as natural language processing (NLP), machine learning algorithms, and conversational AI are streamlining sales workflows, enhancing decision-making, and reducing human error. Furthermore, the integration of AI with cloud platforms, IoT data streams, and mobile ecosystems is facilitating global scalability and seamless omnichannel experiences.

Country
Indonesia
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Keywords

QA75 Electronic computers. Computer science

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green