Privacy Policy
Introduction
Recomaze is dedicated to revolutionizing e-commerce through AI-driven personalization. Our platform is uniquely designed to enhance the online shopping experience without compromising user privacy. This policy outlines our approach to data collection and processing within the Recomaze product.
Data Collection
Recomaze’s advanced AI algorithms personalize the shopping experience by analyzing non-personal data related to shopper interactions. We collect data on actions such as product likes, dislikes, shares, searches, and other engagement metrics. This data is crucial for tailoring product recommendations and does not include any personal information of the shoppers.
Purpose of Data Collection
The primary goal of collecting data is to construct a sophisticated deep learning model that delivers personalized product suggestions. By understanding user interactions, Recomaze can present the most relevant products, enhancing the likelihood of conversion and customer satisfaction.
Data Processing
We organize the collected data into structured lists to model user preferences effectively. These lists are purely based on shopper actions and do not contain any identifiable information. Our processing techniques ensure that each user’s experience is personalized based on their interaction patterns.
Learning Model
Recomaze employs a state-of-the-art learning model that utilizes non-personal data to generate product recommendations. Our model considers various factors, such as product attributes and user actions, to deliver personalized suggestions that resonate with each visitor’s unique preferences.
No Use of Cookies
In alignment with our privacy-first approach, Recomaze’s personalization engine operates without the use of cookies. This ensures that users’ privacy is respected, and personalization is based solely on real-time interactions within the e-commerce platform.
Learning Model
Recomaze employs a state-of-the-art learning model that utilizes non-personal data to generate product recommendations. Our model considers various factors, such as product attributes and user actions, to deliver personalized suggestions that resonate with each visitor’s unique preferences.
At Recomaze, we’re laser-focused on one thing: maximizing revenue for e-commerce businesses through cutting-edge, privacy-conscious AI.
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