Remove decision-science-and-pragmatic-ai-in-retail
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What You Need To Know About The State Of The Retail Worker Shortage

ToolsGroup

Retail workers are at the heart of the economy, making the continued retail labor shortage a top challenge for retailers–one that appears here to stay. Get the real story on today’s retail worker shortage, as we break down: Retail Labor Shortage Statistics. The Need for Corporate Retail Talent.

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Decision Science and Pragmatic AI in Retail

RELEX Solutions

Decision Science and Pragmatic AI in Retail. Retail is detail, on a massive scale. Retailers need to keep billions of forecasts up to date, control tens of millions of inventory flows and manage tens of thousands of people working in stores and distribution. Retail is also very dynamic.

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Is automation killing white collar jobs?

Kinaxis

Algorithms drive objective, data-driven decisions given a defined set of goals and rules that go with meeting those goals, as opposed to humans who have to deal with emotional factors. Nor must algorithms sit through endless meetings to arrive at decisions that may be dead on arrival. The results are specific and measurable.

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Pragmatic AI for Better Retail Decisions

RELEX Solutions

“It’s official, the AI hype has finally gone completely overboard,” our CFO told me after hearing a sales pitch from an expense management software company. The sales rep had proudly claimed that their system used AI (artificial intelligence). In fact, a recent study concluded that 40% of European AI start-ups do not actually use AI.

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The Top 5 Logistics Technology Trends to Watch

Zipline Logistics

Where technological trends have the most significant impact in today’s logistics landscape is pragmatic productivity and performance visibility tools. . The truly beneficial application of this technology as it stands today is in allowing personnel to make better, more sound decisions based on automated data capture and synthesis. .

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Stochastic Planning for More Resilient and Cost-Effective Supply Chains

RELEX Solutions

Stochastic Planning for More Resilient and Cost-Effective Supply Chains. Resources » Whitepapers. Authors: Tuomas Viitanen, Data Scientist, D.Sc. Tech.) & Johanna Småros, Group CMO, D.Sc. Many assumptions in supply chain planning are expressed as hard-and-fast numbers although, in reality, there is a range of possible outcomes.

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Machine Learning in the Context of Retail Demand Forecasting

RELEX Solutions

Machine Learning in the Context of Retail Demand Forecasting. It comes as no surprise, then, that leading retailers who recognize the competitive advantage have turned to machine learning to transform their planning as well. But what exactly is machine learning, and how do we utilize it in retail planning?