artificIal intelligence & machine learning
The modern global supply chain is defined by scale — billions of transactions and terabytes of data across multiple systems, with businesses generating more data every moment.
Traditional supply chain management (SCM) practices are quickly being outmatched by the endless onslaught of information. Artificial Intelligence (AI) and machine learning makes it possible to discover patterns in supply chain data by relying on algorithms that quickly pinpoint the most influential factors, leading to a supply networks’ success, while constantly learning in the process.
Machine learning algorithms are finding new patterns in supply chain data daily, without the need for manual intervention or the definition of classification to guide the analysis. The algorithms methodically query data with many using constraint-based modeling to find the core set of factors with the greatest predictive accuracy. Key factors influencing inventory levels, supplier quality, demand forecasting, procure-to-pay, production planning, transportation management and more are becoming known for the first time.
analyZe large, diverse, data sets quickly
reduced freight costs
improved supplier delivery performance
rapid customer response times
our ai & machine learning platform
Along with the features of Machine Learning, the AI embedded in NovaTrack learns from the data and experiences of the supply chain stored in the Blockchain, and takes action without the need for explicit programming. AI intelligently detects, processes, and uses information, developing human capabilities, increasing speed and efficiency, and helping organizations improve processes and productivity.
ai platform consists of 3 core areas
Developers can rapidly consume high-level “finished” services that accelerate the development of AI solutions and create intelligent applications, customized to an organization’s availability, security, and compliance requirements.
Services and tools backed by a best-in-class infrastructure with enterprise grade security, availability, compliance, and manageability. Harness the power of infinite scale infrastructure and integrated AI services.
Leverage a set of comprehensive tools and frameworks to build, deploy, and operate AI products and services at scale. Use the extensive set of supported tools and Integrated Development Environment (IDEs) and harness the intelligence with massive datasets through deep learning frameworks.
The AI platform supports an extensive array of deep learning frameworks, including: Cognitive Toolkit, Caffe2, TensorFlow, Chainer, MxNet, Torch, Scikit-learn, and more.
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