10.46243/jst.2025.v10.i05.pp29-37 registered
Leveraging AI-Driven Sales Intelligence to Revolutionize CRM Forecasting with Predictive Analytics
Resolves to https://jst.org.in/index.php/pub/article/view/1267
Held by Longman Publishers (India) · prefix 10.46243 live · DOI address https://doi.org/10.46243/jst.2025.v10.i05.pp29-37
Registered 29 Sep 2026 via crossref · record version 2 · last change 29 Sep 2026, 11:59 PM · record sha256 5a8a0492271deaa6…
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What the DOI identifies
JournalArticle — an article in a journal · Digital · Visual
Leveraging AI-Driven Sales Intelligence to Revolutionize CRM Forecasting with Predictive Analytics (PrincipalTitle)
Published 2025-05-16
Part of Journal of Science & Technology · ISSN 2456-5660 · volume 10 · issue 5 · pages 29–37
Agents
- GIRISH KOTTE (author)
- Longman Publishers (publisher)
Identifiers DOI 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.
System metadata — ISO 26324:2025, Annex B · DOI Handbook 10.1
Each element by the standard's name (Annex B: reference elements, then administrative) and the Handbook's (in grey), read off the record above.
| Element | Value | In the record |
|---|---|---|
| DOI Name DOI name | 10.46243/jst.2025.v10.i05.pp29-37 | doi |
| Referent Type referentType | Creation | referent |
| Referent Sub-Type referentSubType | JournalArticle — an article in a journal | type |
| Referent Name(s) referentName(s) | Leveraging AI-Driven Sales Intelligence to Revolutionize CRM Forecasting with Predictive Analytics (PrincipalTitle) | titles |
| Basic Metadata basicMetadata | author: GIRISH KOTTE publisher: Longman Publishers published: 2025-05-16 part of: Journal of Science & Technology · ISSN 2456-5660 · vol. 10 · no. 5 · pp. 29–37 form: Digital · Visual · Language | agents, dates, container, language, structural_type, modes, characters |
| Referent Identifier(s) alternateIdentifier(s) | none besides the DOI | identifiers, relations (IsSameAs) |
| Registration Authority registrationAuthorityCode | Crossref — issued by Crossref (member 25296); held here as a copy | record.source_agency (our code, ra_doi_name, for names issued here once appointed) |
| Created Date issueDate | 2025-06-05 | record.registered (when the DOI name was first registered) |
| relatedIdentifiers | none needed — the descriptive metadata is in this record | container, relations (only where the descriptive metadata lives at another identifier) |
complete Every System Metadata element is here, with the basic metadata a journal article needs.
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History — the ledger
Every change to this DOI, in order, as it was recorded. Entries are only ever added, never changed or removed.
| # | When | What | By | Changes |
|---|---|---|---|---|
| 1 | 29 Sep 2026, 10:00 PM | register registered at Crossref; record read from api.crossref.org | Administrator (admin) | 105 fields set · sha256 783f4b44871d… |
| 2 | 29 Sep 2026, 11:59 PM | update record re-read from api.crossref.org | Administrator (admin) | container.titles.0.value: |
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