Applications of artificial intelligence in B2B marketing: Challenges and future directions
With the growing popularity of artificial intelligence (AI) transforming business-to-business
(B2B) marketing, there is a growing demand to comprehensively understand the adoption …
(B2B) marketing, there is a growing demand to comprehensively understand the adoption …
[HTML][HTML] AI-powered marketing: What, where, and how?
Artificial intelligence (AI) has become a disruptive force that has revolutionized industries
and changed business practices. The integration of AI has brought numerous benefits to …
and changed business practices. The integration of AI has brought numerous benefits to …
Service quality and after-sales service on IoT-based car user satisfaction and repeat purchases services in Indonesia
This study aims to determine the effect of service quality and after-sales service on the
customer satisfaction of car users using IoT (Internet of Things) technology provided with …
customer satisfaction of car users using IoT (Internet of Things) technology provided with …
Demand forecasting of a multinational retail company using deep learning frameworks
In this modern era of digitization, the competition is significantly increasing among retailers.
One of the major challenges for them is demand prediction or sales forecasting. Especially …
One of the major challenges for them is demand prediction or sales forecasting. Especially …
Automated method for selecting optimal digital pump operating strategy
Commercially available hydraulic pumps exhibit lower performance at a wide range of
operating conditions, resulting in a significant decrease in productivity and efficiencies as …
operating conditions, resulting in a significant decrease in productivity and efficiencies as …
[HTML][HTML] Post-hazard supply chain disruption: Predicting firm-level sales using graph neural network
Evaluating the damage caused by supply chain disruptions triggered by natural hazards has
an important role in supply chain risk management. This study proposes a novel approach to …
an important role in supply chain risk management. This study proposes a novel approach to …
Exploring the Role of AI in B2B Customer Journey Management: Towards an IPO Model
T Khvatova, FP Appio, S Ray… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Artificial intelligence (AI) is becoming a pervasive technology and companies are
increasingly urged to adopt and implement it in order to thrive and innovate. While much has …
increasingly urged to adopt and implement it in order to thrive and innovate. While much has …
Forecasting system's accuracy: a framework for the comparison of different structures
CFS Netto, VA Brei… - Applied Stochastic Models …, 2024 - research.monash.edu
One of the most challenging aspects for managers when building a forecasting system is
choosing how to aggregate the data at different levels. This is frequently done without the …
choosing how to aggregate the data at different levels. This is frequently done without the …
Fusing clustering and machine learning techniques for Big-Mart sales predication
Sales volume forecasting is becoming a crucial requirement for many sellers, enabling them
to modify their advertising strategies and strike the ideal balance between sales volume and …
to modify their advertising strategies and strike the ideal balance between sales volume and …
Cluster-based prediction for product sales of E-commerce after COVID-19 pandemic
Z Lv, H Kang, Z Gao, X Zhuang, J Tang, Z Wang… - International Journal of …, 2024 - Springer
After a public emergency, predicting product sales in e-commerce can help to better
understand and respond to market uncertainties and fluctuations. This can be of significant …
understand and respond to market uncertainties and fluctuations. This can be of significant …