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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Beveel, the Afrikaans term for “recommend,” serves as a customer personalization platform that generates tailored suggestions for use across websites, emails, and social media channels. This advanced personalization solution leverages Machine Learning and Artificial Intelligence to enhance the shopping experience for customers. By delivering highly relevant and individualized interactions, Beveel not only boosts your average order value (AOV) but also increases sales by 30% compared to competing offerings. The platform's visual recommendation engine employs deep learning algorithms and Convolutional Neural Networks (CNN) to suggest visually similar products that resonate with your customers. Additionally, Beveel’s tuning service empowers merchandisers to prioritize product displays that are optimized for factors such as Revenue/Margin, Engagement, and Conversion. Furthermore, the purchase intent engine (PIE) analyzes customer behavior on the site to customize their experience in real-time, ensuring that every interaction is as relevant as possible. This comprehensive approach to personalization ultimately drives greater customer satisfaction and loyalty.

Description

Related Products | Also Bought | FBT enables you to showcase products that are frequently purchased together with the item currently being viewed, ultimately boosting your shop's sales and enhancing the overall shopping experience. This feature allows for extensive customization within the app, helping you to maximize your average order value through the powerful "frequently bought together" functionality. With a suite of robust features at your disposal, you can effortlessly tailor user experiences and ensure smooth integration with your existing systems. Elevate your store's potential by utilizing our all-encompassing toolkit, which is designed to provide a distinctive experience for both you and your clientele. Our solutions are specifically crafted to meet your needs, allowing you to surpass your expectations. Witness a notable increase in your average order value as customers enjoy the ease of discovering complementary products without hassle. By recommending highly relevant items, you not only facilitate immediate purchases but also save your customers valuable time in their search for the perfect products. This streamlined approach not only enhances customer satisfaction but also fosters loyalty, as shoppers appreciate a more efficient and enjoyable purchasing journey.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Adobe Analytics
Big Cartel
Duda
Ecwid
IBM Cloud
Magento
Oracle Commerce
SHOPLINE
Salesforce Commerce Cloud
Salla
Shopify
Shoplazza
Squarespace
Tiendanube
Webflow
Weebly
Wix
WooCommerce
WordPress
commercetools

Integrations

Adobe Analytics
Big Cartel
Duda
Ecwid
IBM Cloud
Magento
Oracle Commerce
SHOPLINE
Salesforce Commerce Cloud
Salla
Shopify
Shoplazza
Squarespace
Tiendanube
Webflow
Weebly
Wix
WooCommerce
WordPress
commercetools

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$18 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

Beveel

Founded

2017

Website

www.beveel.com

Vendor Details

Company Name

Kaktus

Country

United States

Website

kaktusapp.com/product-recommendations

Product 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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