
Blog
Moving from optimization to optimized decisions
An overview of the evolution of supply chain optimization technologies and how companies can get maximum business value out of their investment in these solutions.
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Blog
An overview of the evolution of supply chain optimization technologies and how companies can get maximum business value out of their investment in these solutions.
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Blog
How can manufacturers utilize their cutting-edge Industry 4.0 technologies to generate data-driven, predictive maintenance-based plans?
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Fast-moving consumer goods (FMCG) manufacturing companies – which produce low-cost products like pre-packaged foods and beverages, toiletries, cleaning products, and over-the-counter drugs – operate in a business environment characterized by high volumes and low profit margins.
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Blog
To conduct predictive maintenance, companies must ensure they have right spare parts in the right locations at the right times.
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Successful digital transformation requires more than merely investing in and implementing advanced technologies – it also necessitates the evolution and integration of your company’s processes, data, and people.
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To optimize their inventory, supply chain companies must have in place the right inventory management strategies coupled with the right inventory management software system
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Many supply chain planning and optimization software vendors provide “one-size-fits-all” rather than “perfect fit” solutions.
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If you are a supply chain leader whose company is on the road to digital transformation, you should make these three New Year’s resolutions.
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In today’s business environment, supply chain companies must be able to respond rapidly and effectively to constant changes and complex challenges.
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What if you could precisely predict when your machines and equipment will require maintenance – thereby preventing costly breakdowns, minimizing maintenance costs, and maximizing efficiency? With predictive maintenance tools and techniques, you can.
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ICRON Demand empowers businesses to navigate uncertainty through accurate forecasting using AI-driven methods that take into consideration historical data, reaTime updates, and fast adaptation to changing market conditions and disruptions.
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