International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 02 | Feb 2024
p-ISSN: 2395-0072
www.irjet.net
USING CONTEXTUALIZATION INFORMATION TO MAKE USER SHOPPING JOURNEYS BETTER Hareen Venigalla Uber USA ----------------------------------------------------------------------***--------------------------------------------------------------------ABSTRACT The rapid expansion of e-commerce, projected to reach $7.4 trillion by 2025, has increased the need for personalized shopping experiences that address key consumer pain points like product discoverability and cost transparency. Contextualization leverages user and product data to tailor purchasing journeys, boosting engagement by 31%, conversion rates by 19%, and retention by 27%. Key benefits include heightened perceptions of result relevancy (+29%), improved findability (+41%), pricing realism (+37%), and purchase confidence (+22%). Strategies involve profiling to uncover individual preferences, mapping behavior throughout browsing funnels, balancing relevance with diversity in suggestions, and continuously optimizing through A/B testing. Applications such as adaptive search and reviews, smart outfit recommendations, auto-populated previous payment options, and personalized promotions illustrate the power of contextuality. Emerging techniques around augmented reality and blockchain identity management signal more immersive, transparent future commerce experiences. Committing to transparent AI-driven personalization grounded in human needs has substantial consumer experience and business upside. Case studies show gains such as 11% larger order values and 41% greater satisfaction from individualized shopping. Overall, harnessing contextual signals to tailor interactions, while protecting privacy, promises improved commercial outcomes alongside customer fulfillment by reducing journey friction. Keywords: Contextual Recommendations, Personalization Algorithms, Customer Data Platforms, Augmented Reality, Adaptive Interfaces, E-commerce, AI-powered recommendation
I.
INTRODUCTION
The rapid growth of international e-commerce has remarkable prospects in line with the constantly changing demands of consumers. The figures below reflect the current growth trajectory's rapid pace of increase: Year
Ecommerce Size (Trillion)
2019
$3.5
2020
$4.2
2021
$4.9
2022
$5.5
2023
$6.1
2024
$6.8
2025
$7.4
The expansion of e-commerce is projected to reach $7.4 trillion by 2025 [1], has created both prospects and challenges in improving online purchasing experiences. Although the advantages of convenience, variety, ease of access, and affordability are undeniable, shopping experiences must still address important consumer concerns regarding evaluating information's relevance and accuracy to build
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