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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
API Access
Has API
Integrations
BigCommerce
Magento
Shopify
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
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
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