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What is Predixit?

Leverage your traffic analysis to turn insights into actionable strategies by classifying users according to their online behaviors and preferences. By categorizing users with similar characteristics, you can pinpoint those who are worthy of incentives, encouragement, or reminders to return, while also assessing which brands, categories, and promotions achieve the greatest success in conversion rates. Start by implementing a feature that highlights users' browsing history, displaying products they have recently looked at or purchased. Furthermore, gently prompt them about items they have abandoned in their shopping carts. It is essential to apply this method to all user segments, including those who may remain anonymous or have not registered. By harnessing sophisticated AI tools, you can elevate the shopping journey with personalized suggestions that resonate with each individual's tastes and shopping goals. Additionally, oversee multiple recommendation initiatives by testing a variety of algorithms that correspond to the buying process, exploring diverse personalization tactics based on both browsing habits and actions taken or not taken. This holistic strategy not only enhances user engagement but also cultivates a stronger relationship with your clientele, ultimately leading to increased customer loyalty and satisfaction.

What is Epic Commerce?

We are unveiling a groundbreaking commerce platform that seamlessly integrates data analytics, artificial intelligence, and programming logic to deliver customized and highly relevant shopping experiences. This innovative system emphasizes the promotion of seasonal, local, or regionally specific products tailored to the user's geographical area. Engagement activities such as liking, tweeting, posting, and sharing products with friends yield valuable insights into personal shopping behaviors. Moreover, items that customers have abandoned or left in their carts will be showcased more prominently during their shopping journey. Users can indicate their preferences by liking products, helping to identify trending items, and they can also bookmark their favorite choices for future reference. By examining previous purchases, the platform constructs a detailed customer profile that enhances its ability to understand and meet their shopping preferences. Ultimately, this harmonious blend of technology and personalization is set to revolutionize the way consumers engage with retail, making each shopping experience more intuitive and enjoyable. As this platform evolves, it aims to continuously refine its offerings based on user interactions and feedback, ensuring an increasingly tailored approach to commerce.

Media

Media

Integrations Supported

AWS Marketplace
Amazon Web Services (AWS)
eBay

Integrations Supported

AWS Marketplace
Amazon Web Services (AWS)
eBay

API Availability

Has API

API Availability

Has API

Pricing Information

€49 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

Predixit

Date Founded

2015

Company Location

Italy

Company Website

en.predix.it/come-funziona-il-processo

Company Facts

Organization Name

Orkiv Retail Solutions

Date Founded

2014

Company Location

United States

Company Website

www.Orkiv.com

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

Inventory Management

Alerts/Notifications
Barcoding / RFID
Forecasting
Inventory Optimization
Kitting
Manufacturing Inventory Management
Mobile Access
Multi-Channel Management
Product Identification
Reorder Management
Reporting/Analytics
Retail Inventory Management
Supplier Management
Warehouse Management

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