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What is Recommendly?

Discover real-time, customized suggestions that enhance revenue through strategic cross-selling and up-selling techniques. Deliver the most relevant products at the precise moment they are needed to optimize effectiveness. With our cutting-edge Machine Learning technology, increasing your sales volume is easier than ever before. Everything you need is efficiently organized in one application. By utilizing advanced algorithms, you can greatly improve your opportunities for upselling and cross-selling. Keep ahead of your customers' desires by accurately recommending items they are likely to buy. Make educated, data-focused decisions through comprehensive analytics that unveil your customers' interests at all times. Simply install the app and let predictive Machine Learning function effortlessly in the background, while your conversion rates can rise by as much as 25%. Boost your upselling and cross-selling success by suggesting the most suitable items to your customers. Furthermore, enhance their experience with immediate suggestions, synonyms, auto-complete options, and tailored recommendations that fully align with their preferences. This innovative approach not only streamlines the shopping experience but also fosters stronger customer loyalty and satisfaction.

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

Shopify

Integrations Supported

Shopify

API Availability

Has API

API Availability

Has API

Pricing Information

$9 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

EPICA

Date Founded

2016

Company Location

United States

Company Website

recommendly.ai/

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/store-engagement

Categories and Features

eCommerce Personalization

A/B Testing
Abandoned Cart Email
Dynamic Pricing
Offers & Discounts Notifications
Personalized Site Navigation
Product Recommendations
Reporting / Analytics
Social Insights

Categories and Features

Customer Data Platforms (CDP)

Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling

Order Management

Back Order Management
Catalog Management
Inventory Management
Order Entry
Order Fulfillment
Order Tracking
Recurring Orders
Returns Management
Shipping Management
Special Order Management

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