Customer-Centric Innovations in Boiler Manufacturing: AI-Driven CRM for Personalized Service and Predictive Sales

The traditional boiler manufacturing industry is undergoing a digital transformation driven by Industry 4.0 technologies. Among these, Artificial Intelligence (AI)-powered Customer Relationship Management (CRM) systems play a pivotal role in shifting the industry from product-focused to customer-centric. This research explores the integration of AI in CRM systems specifically tailored for boiler manufacturing firms to deliver personalized customer service and enable predictive sales strategies. By leveraging machine learning, natural language processing, and predictive analytics, manufacturers can gain deep insights into customer behavior, reduce response time, predict boiler servicing needs, and enhance customer retention. The paper presents a conceptual framework and validates it with use cases, while also exploring challenges and future opportunities.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-17
DOI
https://doi.org/10.5281/zenodo.15233647
Primary Topic
Behavioral and Psychological Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Customer-Centric Innovations in Boiler Manufacturing: AI-Driven CRM for Personalized Service and Predictive Sales

Zenodo (CERN European Organization for Nuclear Research)
Behavioral and Psychological Studies
article

Customer-Centric Innovations in Boiler Manufacturing: AI-Driven CRM for Personalized Service and Predictive Sales

article en

Abstract

The traditional boiler manufacturing industry is undergoing a digital transformation driven by Industry 4.0 technologies. Among these, Artificial Intelligence (AI)-powered Customer Relationship Management (CRM) systems play a pivotal role in shifting the industry from product-focused to customer-centric. This research explores the integration of AI in CRM systems specifically tailored for boiler manufacturing firms to deliver personalized customer service and enable predictive sales strategies. By leveraging machine learning, natural language processing, and predictive analytics, manufacturers can gain deep insights into customer behavior, reduce response time, predict boiler servicing needs, and enhance customer retention. The paper presents a conceptual framework and validates it with use cases, while also exploring challenges and future opportunities.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 48%
Behavioral and Psychological Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Customer-Centric Innovations in Boiler Manufacturing: AI-Driven CRM for Personalized Service and Predictive Sales · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS