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What is IBM Sterling Fulfillment Optimizer?

IBM Sterling Fulfillment Optimizer, driven by Watson, is a sophisticated cognitive analytics platform that dramatically enhances the capabilities of existing order management systems. Acting as a "big data brain," this groundbreaking solution offers improved order management and inventory visibility for retailers engaged in eCommerce fulfillment. Utilizing the Fulfillment Optimizer allows retailers to gain more profound insights and react swiftly to market changes, thus achieving an optimal balance between preserving profit margins, maximizing store capacity, and meeting delivery commitments. The empowered sourcing decisions facilitated by this tool can result in significant profit growth, especially during peak demand periods. Moreover, it allows retailers to evaluate the impacts of omnichannel strategies across various areas such as eCommerce, merchandising, logistics, store operations, and supply chain management. By effectively managing the costs linked to omnichannel fulfillment against the quality of service provided, retailers can protect their profit margins while enhancing store capacity utilization and ensuring prompt deliveries to customers. In addition, the platform streamlines the execution of optimized omnichannel fulfillment strategies, which guarantees the provision of services at the lowest cost while still satisfying customer expectations. Ultimately, the implementation of this tool can transform the operational efficiency of retailers, paving the way for sustained success in a competitive market.

What is Hypertable?

Hypertable delivers a powerful and scalable database solution that significantly boosts the performance of big data applications while effectively reducing hardware requirements. This platform stands out with impressive efficiency, surpassing competitors and resulting in considerable cost savings for users. Its tried-and-true architecture is utilized by multiple services at Google, ensuring reliability and robustness. Users benefit from the advantages of an open-source framework supported by an enthusiastic and engaged community. With a C++ foundation, Hypertable guarantees peak performance for diverse applications. Furthermore, it offers continuous support for vital big data tasks, ensuring clients have access to around-the-clock assistance. Customers gain direct insights from the core developers of Hypertable, enhancing their experience and knowledge base. Designed specifically to overcome the scalability limitations often encountered by traditional relational database management systems, Hypertable employs a Google-inspired design model to address scaling challenges effectively, making it a superior choice compared to other NoSQL solutions currently on the market. This forward-thinking approach not only meets present scalability requirements but also prepares users for future data management challenges that may arise. As a result, organizations can confidently invest in Hypertable, knowing it will adapt to their evolving needs.

Media

Media

Integrations Supported

Hadoop

Integrations Supported

Hadoop

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

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/intelligent-promising/fulfillment-optimizer

Company Facts

Organization Name

Hypertable

Company Location

United States

Company Website

www.hypertable.com

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

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