Remove Data Management Remove Innovation Remove Metrics Remove Transportation
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Pandemic Lessons For Supply Chain Leaders

Supply Chain Shaman

Re-implement demand planning, trade promotion management, and revenue/price management together to improve the baseline demand signal. This means building a cognitive engine to sense, learn, and adapt using market data for innovators. The focus of the transportation suites was on cost mitigation and price negotiation.

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7 Ways AI Can Impact Your Supply Chain and Logistics Operations

Stord

Specific industries measure specific KPIs, and AI is an easy way to pull data in and get real, usable and actionable metrics back. The End of “Where Is My Order” Tickets AI functionality integrated with order management and customer support systems could significantly boost consumer satisfaction.

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5 Ways to Cope with Changing Logistics Demand in 2024

Locus Robotics

Learn how these innovations are transforming logistics operations. Data Analytics and Automation The use of artificial intelligence (AI) or machine learning within warehouses thanks to tools such as robotics could increase to optimize your supply chain and reduce operational costs.

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5 Ways to Cope with Changing Logistics Demand in 2024

Locus Robotics

Learn how these innovations are transforming logistics operations. Data Analytics and Automation The use of artificial intelligence (AI) or machine learning within warehouses thanks to tools such as robotics could increase to optimize your supply chain and reduce operational costs.

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New job opportunity: Product Owner

DiManEx

Along the way, this person will help us build the product management practice within DiManEx, both managing and improving existing releases & features as well as creating our new roadmap with innovative new data driven products, features and services. Experience with Data Management, preferably in Supply Chain. ?

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Maximizing Supply Chain Strategy: A 10-Step Guide

RFgen

Transportation networks, distribution centers, and production plants require constant attention for the efficient movement of goods. Data management and analytics tools: Don’t overlook data management and analytics tools, including storage, business intelligence, big data, machine learning, and data collection practices.

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Supply Chain Predictive Analytics: Benefits, Use Cases and Growth Potentials

ThroughPut

Businesses can access historical data, market trends, and other external factors and, by plugging in predictive analytics, gain invaluable insights that streamline inventory management, demand forecasting, transportation planning, risk mitigation, and overall decision-making processes.