Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Hightouch Reviews & Ratings
    4.6 out of 5 stars 521 Ratings
    Company Website for Hightouch
  • GetResponse Reviews & Ratings
    4.3 out of 5 stars 1,801 Ratings
    Company Website for GetResponse
  • KUKUI Reviews & Ratings
    4.8 out of 5 stars 80 Ratings
    Company Website for KUKUI
  • MikMak Reviews & Ratings
    4.5 out of 5 stars 85 Ratings
    Company Website for MikMak
  • Advantage Reviews & Ratings
    4.6 out of 5 stars 37 Ratings
    Company Website for Advantage
  • Eventgroove Reviews & Ratings
    4.8 out of 5 stars 13 Ratings
    Company Website for Eventgroove
  • sellerboard Reviews & Ratings
    4.7 out of 5 stars 316 Ratings
  • TradingView Stock Widgets Reviews & Ratings
    5.0 out of 5 stars 16 Ratings
    Company Website for TradingView Stock Widgets
  • MindCloud Reviews & Ratings
    4.9 out of 5 stars 90 Ratings
    Company Website for MindCloud
  • Eurekos Reviews & Ratings
    4.8 out of 5 stars 103 Ratings
    Company Website for Eurekos

What is Recom.ai?

Recom.ai emerges as a top-tier application for merchants on platforms such as Shopify, Magento, and BigCommerce, focusing on the vital techniques of upselling and cross-selling. This application excels by offering personalized recommendations to returning customers, which boosts store credibility, stimulates purchases, and dramatically improves conversion rates in the realm of online retail. In the competitive e-commerce environment, implementing upselling and cross-selling strategies has become crucial for maximizing the value derived from incoming website traffic. With substantial resources dedicated to attracting visitors, even minor enhancements in conversion efforts can lead to impressive outcomes. Conventional browsing and searching techniques often prove inefficient, failing to effectively highlight the full range of products that shoppers may be interested in. The groundbreaking AI-driven Scout feature transforms this shopping experience by allowing customers to indicate their preferences through a simple 'like' or 'dislike' mechanism on recommended products, which facilitates real-time modifications to the suggestions based on their unique tastes. This degree of customization elevates the overall shopping experience, encouraging greater customer loyalty, repeat purchases, and ultimately fostering a stronger relationship between the retailer and the consumer. By leveraging such innovative technology, merchants can not only boost their sales but also create a more engaging and satisfying shopping environment for their customers.

What is Omnistra?

Omnistra acts as a vital infrastructure for independent commerce, leveraging a workforce powered by AI to effortlessly handle all components of an e-commerce business. On a daily basis, it skillfully manages marketing strategies to draw in prospective clients, facilitates interactions across a variety of platforms, captures orders from diverse sources, retrieves abandoned carts, evaluates cash-on-delivery risks prior to dispatch, chooses the most suitable courier for each shipment, and encourages additional purchases from returning clients. This is achieved through multiple channels, including chat, social media, voice communication, and web interfaces, with support for Bangla, English, and over 60 other languages, functioning tirelessly without breaks. The depth of its functionalities is impressive: it features a visual workflow engine, a comprehensive conversation taxonomy comprising more than 100 tags, assessments after calls, real-time emotion recognition, an Order Operating System to verify cash-on-delivery payments, and efficient multi-carrier logistics management, alongside targeted outbound sales initiatives. Seamlessly integrating with platforms such as Shopify and WooCommerce, it guarantees smooth transitions to customer service solutions like Zendesk, Intercom, and Salesforce. Created in Dhaka to specifically address the needs of cash-on-delivery markets and intricate logistics, it simplifies operations for less complex markets effortlessly, and can be deployed in just a few days instead of several months. This swift implementation renders it an appealing option for businesses eager to enhance their e-commerce operations effectively, thereby allowing even small enterprises to take advantage of its sophisticated capabilities.

Media

Media

No images available

Integrations Supported

BigCommerce
Magento
Shopify

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

$41/month (BDT 4,999/month)
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Recom.ai

Company Location

Belarus

Company Website

recom.ai/

Company Facts

Organization Name

Omnistra

Date Founded

2025

Company Location

Bangladesh

Company Website

www.omnistra.io

Categories and Features

AI eCommerce

Not specified

eCommerce Tools

Not specified

Upsell & Cross-Sell

Not specified

Categories and Features

AI eCommerce

Not specified

Popular Alternatives

Ochatbot Reviews & Ratings

Ochatbot

Ometrics
5.0 out of 5 stars

Popular Alternatives

Diggit Reviews & Ratings

Diggit

Kairosfera Interactive
Justuno Reviews & Ratings

Justuno

5.0 out of 5 stars
Routella Reviews & Ratings

Routella

Deco Garden