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Description
Organizations now have the capacity to implement search, browsing, and recommendation features comparable to Google's on their own online platforms, which can help boost conversion rates and minimize the likelihood of search abandonment. By utilizing advanced Google-like search functionalities, businesses can effectively lower search abandonment rates. The shopping experience is significantly enhanced by allowing users to search for products using images, making the process more intuitive. Personalization of the shopping journey can also lead to improved conversion rates and higher order values. With tools like Retail Search and browse, retailers can create tailored experiences rooted in Google's insights into user intent and context. Additionally, Recommendations AI is adept at interpreting the subtleties of customer behavior, context, and product specifics, facilitating meaningful engagement across various channels through targeted recommendations. Furthermore, leveraging machine learning-driven object recognition and lookup enables the provision of immediate results for similar or complementary products from the inventory. This combination of advanced technologies not only enriches the user experience but also positions organizations to better meet consumer needs in a competitive marketplace.
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)
Coveo
Google Analytics
Google Cloud BigQuery
Google Cloud Platform
Google Cloud Storage
Google Merchant Center
Google Tag Manager
Lucidworks Fusion
Integrations
AWS Marketplace
Amazon Web Services (AWS)
Coveo
Google Analytics
Google Cloud BigQuery
Google Cloud Platform
Google Cloud Storage
Google Merchant Center
Google Tag Manager
Lucidworks Fusion
Pricing Details
$2.50 per 1000 requests
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
Country
United States
Website
cloud.google.com/solutions/retail-product-discovery
Vendor Details
Company Name
Predixit
Founded
2015
Country
Italy
Website
en.predix.it/come-funziona-il-processo
Product Features
Product Features
eCommerce Personalization
A/B Testing
Abandoned Cart Email
Dynamic Pricing
Offers & Discounts Notifications
Personalized Site Navigation
Product Recommendations
Reporting / Analytics
Social Insights