Remove 2030 Remove Demand Planning Remove Predictive Analytics Remove Sourcing
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Top 5 Use Cases of New-age Demand Planning and Forecasting Solutions

ThroughPut

How can demand planning match the pace of market dynamics? The Top 5 Use Cases of AI-powered Demand Planning and Forecasting Solutions 1. This ensures customer demands are met without creating scenarios of overstocking or stockouts. How can AI-powered tools and solutions enable success in this new reality?

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What You Need To Know About The State Of The Retail Worker Shortage

ToolsGroup

In October 2021, Brian Olsavky, CFO of Amazon, claimed that the company would require 150,000 extra workers to cater to the heightened customer demands during the holiday season. Source: Bloomberg.com. Check out 4 Concrete Tactics to Combat Employee Turnover and Source Staff →. Why Is There a Shortage of Retail Workers?

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No Easter Bunny?

Supply Chain Shaman

Analytical innovation and digital transformation drove step-change capabilities within the office and marketing. High-velocity or streaming data requires different architectures built on non-relational, cloud-based architectures using open source tools like Apache Spark. As a result, many companies are struggling. The reason?

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Achieve the Environmentally Sustainable Supply Chain Consumers Demand

Logility

Through the intelligent use of technology, organizations can meet these goals and reduce the environmental impact of their supply chains to improve environmental stewardship, reduce damage to the planet, and ensure that sourcing is done sustainably. It’s predicted that AI can reduce global greenhouse gas emissions by 4% by 2030, which is 2.4

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Clouds are Gathering for an Open Platform for Supply Chain

ToolsGroup

2030 vision: End-to-End supply chains that serve customers. It is neither economically healthy nor desirable for Amazon to own a monopoly on providing truly demand-driven, low-cost high customer service. What will multi-enterprise supply chains of 2030 look like? Who can provide them? Does all of this sound like science fiction?

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Supply Chain Optimization Software – A Comprehensive Guide for Manufacturers

ThroughPut

According to Gartner, by the end of 2020, 95% of supply chain planning vendors will depend on supervised and unsupervised machine learning in their solutions. Gartner also predicts that by 2023 intelligent algorithms and AI techniques will be an embedded or augmented component across 25% of all supply chain technology solutions.

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Supply Chain Optimization Software – A Comprehensive Guide for Manufacturers

ThroughPut

According to Gartner, by the end of 2020, 95% of supply chain planning vendors will depend on supervised and unsupervised machine learning in their solutions. Gartner also predicts that by 2023 intelligent algorithms and AI techniques will be an embedded or augmented component across 25% of all supply chain technology solutions.