Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
To effectively manage your inventory, along with customer and order information, you require a real-time overview presented through a user-friendly interface that can be accessed from both sales counters and mobile devices. Specialized tools not only facilitate recommendations for cross-selling and upselling but also help streamline processes for inventory management and task coordination, while offering versatile fulfillment options—like curbside pickup, in-store collection, and shipping from the store—along with returns management across various channels. The IBM Sterling Store Engagement platform empowers your store staff to deliver seamless omnichannel services, covering fulfillment, inventory oversight, task coordination, and customer support. Enhance the shopping experience by providing tailored recommendations that encourage additional purchases. Furthermore, obtain precise inventory location data and benefit from an efficient picking, packing, and shipping or collection process. Additionally, you can oversee and regulate employee activities and tasks, while also allowing for the convenient purchase and checkout of items in-store, eliminating the need for customers to wait in line. This comprehensive approach not only boosts operational efficiency but also significantly enhances customer satisfaction.
Description
Recom.ai stands out as a leading app for upselling and cross-selling among merchants using platforms like Shopify, Magento, and BigCommerce. By providing tailored suggestions to existing customers, this application enhances credibility, encourages purchases, and significantly increases conversion rates for online stores. Upselling and cross-selling have become essential strategies in the e-commerce landscape to maximize the potential of incoming traffic. Since considerable resources are invested in attracting visitors to your website, a minor effort to convert this traffic more effectively can yield great results. Traditional browsing and searching methods can be time-consuming and often fail to showcase the complete array of products that customers seek. However, the innovative AI-powered Scout feature revolutionizes this process. It enables customers to express their preferences by ‘liking’ or ‘disliking’ recommended items directly within the widget, allowing for real-time adjustments to the offerings based on individual customer tastes. This level of personalization not only enhances the shopping experience but also fosters customer loyalty and repeat purchases.
API Access
Has API
Yes
API Access
Has API
No
Integrations
BigCommerce
No
Magento
No
Shopify
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/products/store-engagement
Vendor Details
Company Name
Recom.ai
Country
Belarus
Website
recom.ai/
Product Features
Customer Data Platforms (CDP)
Behavioral Analytics
No
Campaign Management
No
Customer Profiles
No
Customer Segmentation
No
Data Integration
No
Data Matching
No
GDPR Compliance
No
Personalization
No
Predictive Modeling
No
Order Management
Back Order Management
No
Catalog Management
No
Inventory Management
No
Order Entry
No
Order Fulfillment
No
Order Tracking
No
Recurring Orders
No
Returns Management
No
Shipping Management
No
Special Order Management
No