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What is SAS Supply Chain Intelligence?

Unlock extraordinary insights into demand patterns, supply chains, operational effectiveness, quality management, and customer service expectations with SAS, which offers you a crucial advantage over competitors. By consolidating data from diverse sources, you can quickly assess, visualize, and spread information, resulting in more accurate predictions, improved business planning capabilities, heightened profitability, and greater customer satisfaction. Are you aiming to enhance your supply and demand planning strategies? Envision starting with a precise, data-informed forecast that facilitates real-time inventory modifications in line with demand, while also extracting analytical knowledge from initial demand indicators. We can transform that dream into a tangible reality. Automatically produce forecasts that are statistically reliable and based on consensus. Monitor forecast precision to understand the value gained or lost at each step, and enable effortless information exchange among sales, marketing, finance, operations, and supply teams to effectively implement the sales and operations plan. This method not only streamlines your operations but also cultivates a cooperative atmosphere that encourages ongoing enhancement, ultimately positioning your organization for sustained success in a competitive landscape. By adopting these practices, your business will be better equipped to adapt to shifting market demands and customer preferences.

What is GAINS?

GAINS is dedicated to enhancing the accessibility of supply chain planning for various businesses. Through its Supply Chain Performance Optimization Platform, GAINS empowers organizations of every scale to advance with improved agility, resilience, and confidence. The cloud-based platform, driven by AI, ensures ongoing optimization of profits and costs by utilizing machine learning, established algorithms, and actionable insights. This technology caters to a wide range of sectors, including global manufacturing, distribution, retail, and service parts or maintenance operations. By integrating innovative design with the GAINS Proven-Path-to-Performance (P3)SM methodology, the platform facilitates swift onboarding and delivers measurable outcomes, such as boosted sales, increased inventory turnover, and enhanced service levels, all while lowering operational costs in a timeframe as short as eight weeks. GAINS takes pride in its digital supply chain planning expertise, serving prominent industry leaders like Graybar, Menards, Honda Motors, Rockwell Automation, Stuller, and Textron Aviation, thereby solidifying its reputation as a key player in the field. This commitment to excellence continues to drive GAINS forward in transforming supply chain strategies for businesses around the world.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
iPhone
iPad
Windows

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour 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

SAS Institute

Date Founded

1976

Company Location

United States

Company Website

www.sas.com/en_us/solutions/supply-chain.html

Company Facts

Organization Name

GAINSystems

Date Founded

1971

Company Location

United States

Company Website

gainsystems.com

Categories and Features

Categories and Features

Demand Planning

Not specified

Distribution

Not specified

Oil and Gas

Not specified

Supply Chain Management

Demand Planning
Electronic Data Interchange
Inventory Management
Order Fulfillment
Sales & Operations Planning
Supplier Management
Warehouse Management

Supply Chain Planning

Not specified

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