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Description
Introducing an innovative commerce platform that merges data analytics, artificial intelligence, and programming logic to create bespoke and highly relevant shopping encounters. This system prioritizes the display of seasonal, local, or region-specific products based on the user's geographical location. Engagements such as liking, tweeting, posting, and sharing products with friends contribute valuable insights into individual shopping habits. Additionally, items that customers have abandoned or left in their carts will be featured more prominently in their shopping experience. Users can express their preferences by liking products, which aids in recognizing trending items, and they also have the option to bookmark their favorite selections. By analyzing past purchases, the platform builds a comprehensive customer profile, enhancing its ability to discern and cater to their shopping inclinations. Ultimately, this fusion of technology and personalization promises to transform the way consumers interact with retail.
Description
Transform your traffic insights into strategic actions by categorizing users based on their browsing habits and behaviors. By grouping similar users, you can effectively identify those who deserve rewards, motivation, or a nudge to return, while also determining which brands, categories, and offers yield the highest conversion rates. Initiate the process by providing a browsing history feature, showcasing products that users have recently viewed or purchased. Additionally, remind them of items left in their cart that they haven't yet bought. Crucially, ensure that this approach encompasses all users, including those who are anonymous or unregistered. Utilizing advanced AI capabilities, you can enhance the shopping experience through personalized recommendations tailored to each shopper’s preferences and intentions. Furthermore, manage multiple recommendation campaigns by experimenting with various algorithms that align with the purchasing journey, tapping into numerous personalization strategies like affinity based on browsing and non-click behaviors. This comprehensive approach not only boosts engagement but also fosters a deeper connection with your customer base.
API Access
Has API
API Access
Has API
Integrations
AWS Marketplace
Amazon Web Services (AWS)
eBay
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
€49 per month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Orkiv Retail Solutions
Founded
2014
Country
United States
Website
www.Orkiv.com
Vendor Details
Company Name
Predixit
Founded
2015
Country
Italy
Website
en.predix.it/come-funziona-il-processo
Product 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
Product Features
eCommerce Personalization
A/B Testing
Abandoned Cart Email
Dynamic Pricing
Offers & Discounts Notifications
Personalized Site Navigation
Product Recommendations
Reporting / Analytics
Social Insights