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What is Reccodo?

Elevate your sales by designing personalized experiences that turn users into loyal customers through individualized product recommendations and search results. Highlight the most relevant items by analyzing both recent and past customer behavior to ensure a tailored shopping journey. Predict product combinations and present them as bundles to enrich the overall shopping experience, effectively increasing the average order value by suggesting complementary items seamlessly. Maintain customer engagement by ensuring that the most pertinent products are featured prominently in your search bar, capturing their interest in your brand. Our recommendation engine can also provide real-time suggestions as users enter queries, enhancing their browsing experience. Utilize your traffic insights and web analytics to customize interactions, effectively engaging with visitors and converting them into buyers. By analyzing online patterns, we can uncover the specific desires of each shopper, resulting in more favorable outcomes. This method not only strengthens businesses' understanding of their customers but also fine-tunes marketing strategies to be more effective. Ultimately, a focus on personalization fosters deeper connections with customers, leading to increased satisfaction and loyalty.

What is Amazon Personalize?

Amazon Personalize enables developers to build applications that leverage the sophisticated machine learning technology behind Amazon.com’s real-time personalized recommendations, eliminating the need for specialized machine learning knowledge. This service streamlines the development of applications that can deliver a wide array of customized experiences, including personalized product recommendations, unique product rankings, and tailored marketing initiatives. As a completely managed machine learning solution, Amazon Personalize moves beyond conventional static recommendation systems by creating, refining, and deploying distinct ML models that yield highly specific recommendations across various industries, including retail, media, and entertainment. The platform efficiently manages the necessary infrastructure and oversees the entire machine learning process, which encompasses data processing, feature selection, and the identification of the best algorithms, along with model training, optimization, and hosting. This comprehensive approach allows developers to concentrate on improving user engagement rather than navigating the intricacies of machine learning deployment. Consequently, Amazon Personalize serves as a powerful tool that not only simplifies the recommendation process but also enhances customer satisfaction through more relevant interactions.

Media

Media

Integrations Supported

AWS AI Services
AWS App Mesh
Drupal
HiConversion
Magento
OpenCart
Shopify
Webvar
WooCommerce

Integrations Supported

AWS AI Services
AWS App Mesh
Drupal
HiConversion
Magento
OpenCart
Shopify
Webvar
WooCommerce

API Availability

Has API

API Availability

Has API

Pricing Information

€39 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Reccodo

Company Location

Greece

Company Website

reccodo.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/personalize/

Categories and Features

eCommerce Personalization

A/B Testing
Abandoned Cart Email
Dynamic Pricing
Offers & Discounts Notifications
Personalized Site Navigation
Product Recommendations
Reporting / Analytics
Social Insights

Categories and Features

eCommerce Personalization

A/B Testing
Abandoned Cart Email
Dynamic Pricing
Offers & Discounts Notifications
Personalized Site Navigation
Product Recommendations
Reporting / Analytics
Social Insights

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