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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 IBM Sterling Store Engagement?

To efficiently oversee your inventory along with customer and order details, a real-time dashboard that is easy to use and accessible from both sales counters and mobile devices is essential. Tools designed for this purpose not only assist in making recommendations for cross-selling and upselling but also optimize inventory management processes and task coordination, while providing flexible fulfillment options such as curbside pickup, in-store retrieval, and delivery from the store, in addition to managing returns across multiple channels. The IBM Sterling Store Engagement platform equips your staff with the means to offer seamless omnichannel services that encompass fulfillment, inventory management, task oversight, and customer assistance. By enhancing the shopping experience through personalized recommendations, you can stimulate customers to make extra purchases. Moreover, acquiring accurate data on inventory locations and streamlining the picking, packing, and shipping or collection processes is crucial. You also have the ability to monitor and manage employee tasks effectively, allowing for a smooth in-store purchasing and checkout experience that reduces customer wait times. This all-encompassing strategy not only improves operational effectiveness but also leads to a marked increase in customer satisfaction, creating a win-win situation for both the business and its clientele. Ultimately, investing in these systems can transform the retail experience into one that is both efficient and enjoyable for customers.

Media

Media

Integrations Supported

BigCommerce
Magento
Shopify

Integrations Supported

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided

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

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/store-engagement

Categories and Features

AI eCommerce

Not specified

eCommerce Tools

Not specified

Upsell & Cross-Sell

Not specified

Categories and Features

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