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What is Manhattan S&OP?

Sales and Operations Planning (S&OP) is essential for aligning the short-term inventory strategies of key internal stakeholders with the operational and financial constraints of a company. Manhattan's S&OP solution allows organizations to adjust their inventory plans cohesively in response to shifts in resources or budgets. This capability facilitates the swift integration of comprehensive sales and inventory strategies, using real-time demand forecasts and order predictions from replenishment activities to achieve a holistic understanding of inventory's effects across the organization. Moreover, this solution fosters better inventory coordination by enabling crucial users to modify both the sales and inventory aspects of the plan, drawing on insights from various departments within the organization. It is also vital to monitor the alignment between the enterprise’s financial strategy and the projected demand alongside estimated inventory levels, ensuring that all elements of the business synergize effectively. By enhancing communication and collaboration among teams, S&OP significantly boosts business performance and agility, allowing companies to adapt more readily to market changes. In this way, S&OP not only streamlines operations but also drives strategic decision-making across the enterprise.

What is Atlas Planning Platform?

Contemporary supply chains must swiftly adapt to fluctuations in market demand and unexpected disruptions. Over the last two decades, the Atlas Planning Platform has played a pivotal role for top-tier companies in achieving this agility. This platform empowers digital twin functionalities for the actual supply chain, ensuring it is perpetually optimized through cutting-edge machine learning techniques and the latest advancements in artificial intelligence. Automation and machine learning are critical components for enhancing digital supply chains. The AI and policy features of Atlas facilitate the autonomous execution of various tasks, streamlining operations significantly. By utilizing automated machine learning, Atlas can sift through vast datasets to pinpoint the most crucial insights. Moreover, the Atlas Planning Platform integrates both structured and unstructured planning data from diverse sources, including ERP systems, IoT devices, and market data. Our cohesive data model ensures that any changes are reflected consistently across all planning stages and levels of detail in your multi-enterprise supply chains, thereby maximizing efficiency and responsiveness. In this way, companies can better navigate the complexities of modern logistics and supply chain management.

Media

Media

Integrations Supported

Cleo Integration Cloud
OneStock

Integrations Supported

Cleo Integration Cloud
OneStock

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

Manhattan Associates

Company Location

United States

Company Website

www.manh.com/products/sales-and-operations-planning

Company Facts

Organization Name

John Galt Solutions

Date Founded

1996

Company Location

United States

Company Website

johngalt.com/atlas

Categories and Features

Categories and Features

Supply Chain Management

Demand Planning
Electronic Data Interchange
Import / Export Management
Inventory Management
Order Fulfillment
Order Management
Sales & Operations Planning
Shipping Management
Supplier Management
Transportation Management
Warehouse Management

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