Cite this DOI

GIRISH KOTTE (2025). Leveraging AI-Driven Sales Intelligence to Revolutionize CRM Forecasting with Predictive Analytics. *Journal of Science & Technology*, *10*(5), 29–37. https://doi.org/10.46243/jst.2025.v10.i05.pp29-37

@article{girishkotte2025leveraging,
  author    = {GIRISH KOTTE},
  title     = {{Leveraging AI-Driven Sales Intelligence to Revolutionize CRM Forecasting with Predictive Analytics}},
  journal   = {Journal of Science \& Technology},
  year      = {2025},
  month     = {may},
  volume    = {10},
  number    = {5},
  pages     = {29--37},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2025.v10.i05.pp29-37},
  url       = {https://doi.org/10.46243/jst.2025.v10.i05.pp29-37},
  abstract  = {The focus of this research is to study the results of the use of AI enabled sales intelligence and predictive analytics onCRM systems. The combination of AI and CRM makes CM forecasting more accurate and productive throughprediction of future trends based on customer data analysis. Predictive analytics provides data-driven insights that helpoptimize sales tactics and decision-making processes. Customer interaction and personalization in CRM systemsbecome more open to strong connections in the time of AI is included. Updates are available continuously and dataruns into the AI models in real time. The results confirm the great enhancement of CRM performance and companyoutcomes provided by AI. The importance of future research is in further refining methodology to create CRM basedon the needs of specific industries for optimal results.}
}

TY  - JOUR
TI  - Leveraging AI-Driven Sales Intelligence to Revolutionize CRM Forecasting with Predictive Analytics
AU  - GIRISH KOTTE
JO  - Journal of Science & Technology
PY  - 2025
DA  - 2025/05/16/
VL  - 10
IS  - 5
SP  - 29
EP  - 37
PB  - Longman Publishers
SN  - 2456-5660
AB  - The focus of this research is to study the results of the use of AI enabled sales intelligence and predictive analytics onCRM systems. The combination of AI and CRM makes CM forecasting more accurate and productive throughprediction of future trends based on customer data analysis. Predictive analytics provides data-driven insights that helpoptimize sales tactics and decision-making processes. Customer interaction and personalization in CRM systemsbecome more open to strong connections in the time of AI is included. Updates are available continuously and dataruns into the AI models in real time. The results confirm the great enhancement of CRM performance and companyoutcomes provided by AI. The importance of future research is in further refining methodology to create CRM basedon the needs of specific industries for optimal results.
DO  - 10.46243/jst.2025.v10.i05.pp29-37
UR  - https://doi.org/10.46243/jst.2025.v10.i05.pp29-37
ER  -

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    "type": "article-journal",
    "id": "10.46243/jst.2025.v10.i05.pp29-37",
    "DOI": "10.46243/jst.2025.v10.i05.pp29-37",
    "URL": "https://doi.org/10.46243/jst.2025.v10.i05.pp29-37",
    "title": "Leveraging AI-Driven Sales Intelligence to Revolutionize CRM Forecasting with Predictive Analytics",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "author": [
        {
            "family": "GIRISH KOTTE"
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    "issued": {
        "date-parts": [
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    "volume": "10",
    "issue": "5",
    "page": "29-37",
    "publisher": "Longman Publishers",
    "abstract": "The focus of this research is to study the results of the use of AI enabled sales intelligence and predictive analytics onCRM systems. The combination of AI and CRM makes CM forecasting more accurate and productive throughprediction of future trends based on customer data analysis. Predictive analytics provides data-driven insights that helpoptimize sales tactics and decision-making processes. Customer interaction and personalization in CRM systemsbecome more open to strong connections in the time of AI is included. Updates are available continuously and dataruns into the AI models in real time. The results confirm the great enhancement of CRM performance and companyoutcomes provided by AI. The importance of future research is in further refining methodology to create CRM basedon the needs of specific industries for optimal results.",
    "ISSN": "2456-5660"
}

From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2025.v10.i05.pp29-37 gives all four in one JSON answer.