Logistics Viewpoints
MARCH 11, 2025
A manufacturing company, for example, can monitor real-time data from its suppliers, production lines, and distribution centers. In manufacturing, companies can track and report on carbon emissions, water usage, and waste generation, reducing their environmental footprint and improving sustainability performance.
Logistics Viewpoints
FEBRUARY 24, 2025
They offer software systems and technology for complex integration, rapid application development, and advanced analytics and sell those solutions to companies that need to accelerate optimized business outcomes. Further, each product a manufacturer produces usually has different end-to-end supply chain partners.
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RFgen
DECEMBER 27, 2024
Running a manufacturing business isn’t easy. That’s where a manufacturing ERP comes in. Manufacturing ERP (Enterprise Resource Planning) software integrates all your core business processes into one powerful platform. It’s a lot to handle. Let’s get started.
Logistics Viewpoints
OCTOBER 24, 2024
While SAP has had procurement analytics solutions, last year at Spend Connect Live, SAP announced the Spend Control Tower. The enterprise software company also announced a new analytics solution covering external workforce management. This solution provides insights in a much easier way to digest. It is a brilliant tool.”
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In the fast-moving manufacturing sector, delivering mission-critical data insights to empower your end users or customers can be a challenge. With Logi Symphony, you’re not just overcoming obstacles, you’re driving innovation in manufacturing and supply chain.
RFgen
DECEMBER 19, 2024
Data-Driven Decision Making : Using analytics to continuously refine operations. Leverage Data Analytics for Demand Forecasting Advanced analytics tools can predict customer demand and help you optimize inventory. AI and Predictive Analytics AI and machine learning improve predictive capabilities and data-driven decisions.
Logistics Viewpoints
NOVEMBER 20, 2024
Transportation, warehousing, and manufacturing collectively contribute significantly to carbon emissions, making these areas critical for meaningful change. Technologies such as artificial intelligence, IoT, and predictive analytics enable smarter inventory management, real-time tracking, and predictive maintenance, reducing waste and costs.
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From consumer electronics to automotive manufacturing, most of the global economy’s largest industries rely on some form of discrete manufacturing. Manufacturers in these industries face several unique challenges: Labor and material shortages halting production. Lack of collaboration between supply chain stakeholders.
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As organizations become more data driven, their analytics requirements grow. Hanover Research recently conducted a survey that investigates the role of analytics from the perspective of knowledge workers, people who handle or use information as part of their jobs. Strengths and weaknesses of their current analytics solution.
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For decades, operations research professionals have been applying mathematical optimization to address challenges in the field of supply chain planning, manufacturing, energy modeling, and logistics. Want to find out where optimization falls in the broader AI and business analytics spectrum.
Speaker: Trish Uhl, Founder of Owl's Ledge LLC and the Talent & Learning Analytics Leadership Forum
Join Trish Uhl, creator of the Learning Systems Engineering Framework™, as she shares secrets from the playbook she crafted to address these challenges while consulting on a global supply chain standardization and digitalization traceability project for the world's third largest food manufacturer.
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