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What is Ysance?

The daily accumulation of data often remains underutilized, posing a distinct challenge in fully leveraging its value for your organization. To effectively tap into this resource, Ysance utilizes the Datalake model, which acts as a centralized hub for the storage and management of an organization’s data. Our expertise focuses on understanding your specific needs, designing the system architecture, choosing the right technologies, developing efficient processes, and crafting practical use cases, all to convert data into a significant asset for your business. We assist you in managing varied and unrefined data sourced from multiple platforms, ensuring its quality, aggregation, and real-time availability to bolster your business applications. By designing and incorporating advanced architectures such as Data Lake and Lakeshore into your information ecosystem, we take care to address and respect your operational constraints thoroughly. This comprehensive strategy not only enhances data management but also equips your organization with the ability to make well-informed decisions based on dependable insights. Ultimately, our approach ensures that your organization is prepared to adapt and thrive in an increasingly data-driven landscape.

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

Convert Experiences

Integrations Supported

Convert Experiences

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Ysance

Date Founded

2005

Company Location

France

Company Website

www.ysance.com/data-services/fr/home/

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/store-engagement

Categories and Features

Customer Data Platforms (CDP)

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

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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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