International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences
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Improving Digital Sales Through Reducing Friction Points in the Customer Digital Journey Using Data Engineering and Machine Learning

Authors: Shreesha Hegde Kukkuhalli

DOI: https://doi.org/10.5281/zenodo.14209370

Short DOI: https://doi.org/g8rrg7

Country: USA

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Abstract: Digital sales platforms increasingly face challenges related to customer journey friction, which can lead to drop-offs and lower conversion rates. This paper presents a data-driven approach combining data engineering and machine learning techniques to detect and mitigate friction points in digital customer interactions. By analyzing data from various digital touchpoints, our models identify, predict, and provide actionable insights for high-friction interactions, leading to a more seamless experience and improved conversion metrics. Experimental results show that our approach significantly improves engagement and conversion rates.

Keywords: Digital Sales Optimization, Customer Journey Mapping, Friction point reduction, Data engineering, Customer behavior prediction, Digital customer engagement


Paper Id: 231662

Published On: 2022-06-01

Published In: Volume 10, Issue 3, May-June 2022

Cite This: Improving Digital Sales Through Reducing Friction Points in the Customer Digital Journey Using Data Engineering and Machine Learning - Shreesha Hegde Kukkuhalli - IJIRMPS Volume 10, Issue 3, May-June 2022. DOI 10.5281/zenodo.14209370

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