Supply Chains Predictive Analytic benefitsUnlike historical analytics, predictive supply chain analytics allows you to anticipate and prepare for the future, taking out the conjectures planning processes and improving decision making.Friday, September 3, 2021
Predictive supply chain analytics use advanced technological tools such as machine learning, geomarketing, data mining that enables organizations to identify hidden patterns, understand market trends, identify demand, establish pricing strategies, achieve a high return on investment, optimize and reduce inventory costs.
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Also read: "POI Analysis and Characterization."
At PREDIK Data-Driven we help companies implement analytics to improve efficiency within supply chain processes. ¿Busca soluciones de inteligencia comercial para su empresa?Do you need an analysis to improve your efficiency in your supply chain processes?¡Contact us!Need assistance? Contact us
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Can data science mitigate the supply chain crisis impact?October 2021 The current global crisis in supply chains is forcing companies to manage their distribution methods by adopting a proactive approach based on Big Data and advanced analytics. Retail: Benefits of Data MonetizationSeptember 2021 More and more retail organizations are monetizing their data to increase revenue, boost productivity and optimize costs, enabling effective leveraging of assets, technology tools and external information to generate better results. POI Analysis and CharacterizationSeptember 2021 Through location analytics, it's possible to identify a place of interest and establish its exact location, helping companies to understand what's happening around a specific place to make better strategic decisions. Predictive Models and the Manufacturing IndustryJuly 2021 The manufacturing industry leverages these tools in real time in order to predict and prevent potential problems, thus maximizing the performance of operations and workforce in production plants by collecting, storing and organizing data generated by machines, devices and systems on the production floor.
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