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5 Supply Chain Predictions for 2023

Logistics Viewpoints

As we turn the page on 2022 , I’d like to make five supply chain predictions about what to expect for 2023. The aggressive interes t rate hikes by the Federal Reserve are expected to ease as the year progresses, improving predictability and helping address rising cost concerns.

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Autonomous Planning in Supply Chain: 4 Must-Haves for Next-Generation Platforms

Logistics Viewpoints

When my fiance heard about the price, he advised that I find a local hairdresser and set up a frequent-shopper account with them for a few months until the tool is back in stock. And pretty much everyone realized that the old technologies used in planning are not going to cut it anymore when there are so many moving parts in the game.

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Supply Chain Teams Are Investing in Technology. But Are They Maximizing Their Returns?

BlueYonder

In a previous blog post , I discussed some highlights from Blue Yonder’s 2024 Supply Chain Executive Survey. There’s something else our survey participants have in common. They agree that the way to address those challenges is investing in supply chain improvements, particularly advanced technology.

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2024 Supply Chain Predictions – Relative Stability and a Migration to the Mean

Logistics Viewpoints

The end of the calendar year is sure to bring about predictions about the year ahead. And Logistics Viewpoints has a history of its own supply chain predictions for the year ahead. My colleagues and I will likely publish a detailed list of predictions related to supply chain operations and technology.

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Embedded Analytics Insights for 2024

To better understand the factors behind the decision to build or buy analytics, insightsoftware partnered with Hanover Research to survey IT, software development, and analytics professionals on why they make the embedded analytics choices they do.

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Management of Ocean Transit Time Reliability and Visibility

The Logistics & Supply Chain Management Society

However, achieving and maintaining visibility poses several challenges, including data availability and quality, technological limitations, and interoperability issues. Currently less than 20% of the shippers surveyed have the ocean visibility at customer order and product level. What is supply chain visibility and why it is important?

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Ultimate Guide To Technologies That Are Transforming Supply Chains

The Logistics & Supply Chain Management Society

Technology can have a significant impact on supply chains, but supply chain digitization still lags behind digitization of other areas of business across many industries. Still, there are several technologies that are transforming supply chains for the organizations that adopt them. Artificial Intelligence AND Machine Learning.

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New Study: 2018 State of Embedded Analytics Report

We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Why do some embedded analytics projects succeed while others fail? Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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5 Perceptions on Demand Forecasting and How it's Changing

Speaker: Brian Dooley, Director SC Navigator, AIMMS

It’s no secret that demand is getting more difficult to predict. This webinar shares research findings from a recent survey among supply chain planning professionals and delves into the following: Who is typically responsible for forecasting? What technologies are teams using? How does your process stack up against others?