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Leveraging the power of ERP to optimize inventory management

SYSPRO Smarter ERP

Manufacturers and distributors can optimize their inventory management using some of the latest emerging technologies, including machine learning, data analytics, artificial intelligence, and cloud computing. In the new normal, a data-driven approach to inventory management provides the basis for better and faster decisions.

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How manufacturers and distributors can improve inventory management

SYSPRO Smarter ERP

On the supply side, constraints such as large manufacturing batch sizes and supplier delivery lead time force organisations to hold some raw materials or components in stock so that products can be delivered to customers. A data-driven approach to inventory management provides the basis for better and faster decisions.

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IFOY FINALIST FOCUS: robobrain.NEUROS

Logistics Business Magazine

In times of shorter product life cycles and production quantities up to batch size 1, flexible processes place ever new demands on production and material flow for all companies. Thanks to a physics simulation, new robot skills can be developed and trained in a few hours without real data. market relevance ++.

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Sustainability and due diligence laws force action

Logistics Business Magazine

His analysis is based on conversations and data from Setlog customers who use the SCM tool OSCA, e.g. more than 100 brands in the fashion industry alone. Collaboration, the optimal use of data and streamlined information flows eliminate errors and delays as well as reduce lead times and inefficiencies.

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Mobilisation in the Information Technology Era

Logistics in War

Artificial intelligence, big data, virtual reality, robotics, cloud computing. This is the exciting world of three-D printing where production batch sizes can be small or on-demand without impacting production efficiency. By Peter Layton. The information technology (IT) revolution rolls on, progressively changing the world.

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Six Must Have Supply Chain Capabilities for Success in the Food and Beverage Industry

247 Customs Broker

The demand planning team itself must include members who feel comfortable with statistics and data analysis, and can collaborate and negotiate with other business functions to drive to a consensus plan. You can view inventory from multiple perspectives: actual demand data, future distribution needs and replenishment commitments.

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How To Survive The Decline in Warehousing Capacity

Blue Grace Logistics

BIRD technologies include Blockchain, Internet of Things (IoT), Robotic Process Automation (RPA) and Data Science. Further, by using trusted blockchains and advanced data analysis, one can identify demand requirements. Further, by using trusted blockchains and advanced data analysis, one can identify demand requirements.