Remove Benchmarking Remove Predictive Analytics Remove Shipping Remove Warehousing
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2022 Realities vs 2023 Predictions

The Logistics & Supply Chain Management Society

2022 Realities vs 2023 Predictions. The tight capacity and shipping downtime can increase rates and severely disrupt freight flow for months. 2022 Realities vs 2023 Predictions. The Green Corridor: Predictions Are In The Green! by John Lash , Group Vice President, Product Marketing, E2open.

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How Business Intelligence & Analytics Bring Visibility & Mitigate Shipping Surcharges

Intelligent Audit

Finding ways to keep costs in check often comes down to understanding the various shipping surcharges and how shippers can best avoid them through stronger shipping audits. A Single Source of Truth for Shipping Surcharges Management. Instability is among the singular constants affecting supply chain management. supply chains.”

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Highlights from TPM 2023 with Peter Tirschwell

The Logistics of Logistics

Peter is Vice President, Journal of Commerce, the Maritime, Trade & Supply Chain division of S&P Global , a global data, analytics and business intelligence organization serving sectors including maritime, energy, automotive, petrochemical and financial. the world’s largest container shipping conference, now 23 years old.

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NRF 2024: Supply Chain Data

Logistics Viewpoints

Snowflake is a cloud computing–based data cloud company that offers a cloud-based data storage and analytics service, generally termed “data-as-a-service.” In some cases, a customer can cancel or change the shipping location after the item has been picked and packed. The end result is driving better decisions for the retail customer.

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What is GMROI, and What Does it Mean for Your Retail Inventory?

ShipBob

However, it’s also important to consider any industry-specific GMROI benchmarks to make sure that your business is keeping up with the competition. puts it far behind the competition, as the GMROI benchmark in this industry for 2021 is $3.90. ShipBob finally gave us the visibility and analytics we were looking for.

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So You Want to Make the Perfect Logistics Model

Logility

And by debilitating, I mean an enormous analytical time sink — think months. A good logistics model is designed to predict the future. Do some statistical sniff tests, you will probably be very disappointed in the value of this data in predicting your future spend on a lane-by-lane basis. Why do we build logistics models?

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Companies Improve their Supply Chains with Artificial Intelligence

Logistics Viewpoints

Having an agent detect how long it takes to ship from a supplier site to a manufacturing facility, and then doing a running calculation on how the average lead time is changing, is trivial math. So, a plan can be produced that predicts the emissions. Machine learning is being used to predict machine breakdowns.