ENGINEERING REAL-TIME CUSTOMER SUCCESS: A TECHNICAL DEEP DIVE INTO DATA-DRIVEN SALES OPTIMIZATION

This article presents a comprehensive analysis of the Data-Driven SalesOptimization (DDSO) platform, a transformative solution for financial service organizations seeking to enhance customer engagement and operational excellence. The article integrates cloud-native technologies, machine learning algorithms, and real-time data processing capabilities to create a robust system for optimizing salesEngineering Real-Time Customer Success: A Technical Deep Dive into Data-Driven Sales Optimization

Authors

Publication Details

Journal
INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY
Published
2025-02-07
DOI
https://doi.org/10.34218/ijcet_16_01_150
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

ENGINEERING REAL-TIME CUSTOMER SUCCESS: A TECHNICAL DEEP DIVE INTO DATA-DRIVEN SALES OPTIMIZATION

Achyuth Reddy Lakhireddy
INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY
Big Data and Business Intelligence
article

ENGINEERING REAL-TIME CUSTOMER SUCCESS: A TECHNICAL DEEP DIVE INTO DATA-DRIVEN SALES OPTIMIZATION

Achyuth Reddy Lakhireddy
article en

Abstract

This article presents a comprehensive analysis of the Data-Driven SalesOptimization (DDSO) platform, a transformative solution for financial service organizations seeking to enhance customer engagement and operational excellence. The article integrates cloud-native technologies, machine learning algorithms, and real-time data processing capabilities to create a robust system for optimizing salesEngineering Real-Time Customer Success: A Technical Deep Dive into Data-Driven Sales Optimization

INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGYVol. 16(1)
Openalex Percentile: Top 97%
Big Data and Business Intelligence
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ENGINEERING REAL-TIME CUSTOMER SUCCESS: A TECHNICAL DEEP DIVE INTO DATA-DRIVEN SALES OPTIMIZATION — Achyuth Reddy Lakhireddy · INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY (2025) | TGRS Research Map | TGRS