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Bucking the Trend in Transportation – Simultaneously Cap Rate Growth and Beat Capacity Constraints

Talking Logistics

Though they’ve always relied on internet load boards, posting services and other tools determine when and where loads are available, today they’re leveraging these technologies to “lie in wait” for opportunities to optimize their margins. For more details and the detailed data from this study, register to view the instructive case study.

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Cost to Serve Analysis—And the Costs of Neglecting It

Logistics Bureau

Bundling/Upselling Opportunities For example, some of your products and/or services might have price structures that complement one another, creating opportunities for bundling or upselling. View case study Learn more about cost-to-serve benefits. In short, you can’t. I can think of a few more.

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IoT, Robotics and Artificial Intelligence in Manufacturing… The Game is Changing

GlobalTranz

Until now all our tools were passive: we told them what to do and they did it. Accenture Technology’s case study “ Driving unconventional growth through the IIoT ” presents several businesses that adapted to the latest trend, taking advantage of the new technical advantages of IIoT.

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Managed Services Clarifies Data In The Chemical Supply Chain

Trinity Logistics

Examples of basic reports include freight spend totals, shipment statuses, and shipment volume reports. For example, with carriers you can view costs of carriers used, late fees accrued, any unnecessary detention charges and more. Analyze changes in rates by lane and predict trends in your freight costs with a lane analysis report.

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3 Compelling Reasons to Start Using Prescriptive Analytics

AIMMS

Unlike Descriptive (focused on reporting with basic trend or pattern recognition) or Predictive Analytics (focused on predicting the future with forecasting techniques), Prescriptive Analytics uses techniques like machine learning and mathematical modeling to help you improve decision making. Take production planning tools, for example.

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Lora Cecere on Supply Chain Metrics that Matter

AIMMS

And the opening chapter in the book is an actual case study about a team meeting I attended where they would have the inventory “target of the month”. Why are these types of tools important? What companies are currently using these types of Advanced Analytics and Modeling tools? Not looking at how they work together.

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3 Compelling Reasons to Start Using Prescriptive Analytics

AIMMS

Unlike Descriptive (focused on reporting with basic trend or pattern recognition) or Predictive Analytics (focused on predicting the future with forecasting techniques), Prescriptive Analytics uses techniques like machine learning and mathematical modeling to help you improve decision making. Take production planning tools, for example.