1.00 Dollar US $ · Microsoft Azure Personalizer for an E-Commerce Company

Published date: July 23, 2021 1:54 pm

Location: 3838 Oak Lawn Ave. Suite 1000, Dallas Texas 75219, USA., Oak Lawn Ave, Texas , Dallas, United States

Microsoft Azure Personalizer for an E-Commerce Company

Problem Statement

E-commerce stakeholders need to deliver engaging and relevant content to their users. E.g. product/services offer, media or ads. A highly competitive e-commerce segment needs to provide personalized and guided digital experiences to its users to get more leads and conversions. Irrelevant content is a highly frustrating experience to online users resulting in higher abandonment and page bounce rates.
E-commerce companies struggle with content highlighting, filtering, and placement for their web portal and mobile app. Ad placement and UI usability improvement is another area of concern for the e-commerce domain.
Our client was facing these issues which resulted in visitors dropping off, affecting conversion rates and sales. Their current marketing strategy based on A/B testing failed to deliver the desired insights to ensure higher conversion rates.

Operational

• Failure of A/B tests
• Personalizing content is a complex and dynamic problem
Technical
• Lack of robust cloud platform
• Siloed data
• Inability to derive insights from customer data

Microsoft Azure Personalizer

Solution
Smarter and Personalized Customer Experience With Reinforcement Learning Solution
Modern technologies elevate digital experiences with higher personalization and accuracy. Machine learning-based content delivery and placement help to boost user engagement and user experience on websites and apps. Integration of RL models for content prioritization brings precise results as they mature with no prior dependency on historically labelled data and deliver accurate predictions over time.
With a clear understanding of the requirements, our experts designed ML solutions to help the client. Upon analyzing the client’s technology stack, we suggested a reinforcement Learning-based recommender system using Azure Personalizer. It helps to determine the best content to serve based on content relevance and reward score.
The reward score was automatically computed between the -1 to 1 range, where -1 indicates low relevance of content and 1 denotes high relevance of content to user intent. Our RL Personalisation model consumes the feedback (reward/punishment) based on the actions that the user takes during a session, which eventually updates the model weights.

Azure Storage & Services

Results:-
• Enhanced customer experience with personalized content.
• Improved brand engagement through preferred channels
• Better results with more leads, conversions, and reduced bounce rate
• Improved brand affinity

Connect– (469) 444-0250, 1800-800-0000
Corporate HQ
3838 Oak Lawn Ave.
Suite 1000, Dallas Texas 75219, USA.
Website - https://attri.ai

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