Applications of artificial intelligence in B2B marketing: Challenges and future directions

M Moradi, M Dass - Industrial Marketing Management, 2022 - Elsevier
With the growing popularity of artificial intelligence (AI) transforming business-to-business
(B2B) marketing, there is a growing demand to comprehensively understand the adoption …

[HTML][HTML] AI-powered marketing: What, where, and how?

V Kumar, AR Ashraf, W Nadeem - International Journal of Information …, 2024 - Elsevier
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 …

Service quality and after-sales service on IoT-based car user satisfaction and repeat purchases services in Indonesia

R Ekasari, D Arif, M Nurcholis - ABAC Journal, 2023 - assumptionjournal.au.edu
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 …

Demand forecasting of a multinational retail company using deep learning frameworks

P Saha, N Gudheniya, R Mitra, D Das, S Narayana… - IFAC-PapersOnLine, 2022 - Elsevier
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 …

Automated method for selecting optimal digital pump operating strategy

I Azzam, J Hwang, F Breidi, J Lumkes… - Expert Systems with …, 2023 - Elsevier
Commercially available hydraulic pumps exhibit lower performance at a wide range of
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

S Yang, Y Ogawa, K Ikeuchi, R Shibasaki… - International Journal of …, 2024 - Elsevier
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 …

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 …

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 …

Fusing clustering and machine learning techniques for Big-Mart sales predication

SN Gunjal, DB Kshirsagar, BJ Dange… - … on Blockchain and …, 2022 - ieeexplore.ieee.org
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 …

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 …