Remove Data Remove Examples Remove Knowledge Base Remove Price Reduction
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Supply chain trends to watch out for in 2023

Logistics Business Magazine

For example, a big-box retailer that started to build out its pickup services, it delivery services, and so on, so that when the world pivoted, and stores were closed, but people still wanted this retailer’s products, it already had all of that investment there. This alone will have a tremendous impact on the industry.

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‘Digital Freight Matching’ Isn’t a Product— It’s a Strategic Methodology

Parade

The goal of a digital freight matching strategy is to reduce touch points to help your freight brokerage improve your key business metrics of productivity, profitability, and engagement— assisting you to move your current and future freight better. You will need pricing and capacity tools to assess these in real-time.

Digital 60
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article thumbnail

‘Digital Freight Matching’ Isn’t a Product— It’s a Strategic Methodology

Parade

The goal of a digital freight matching strategy is to reduce touch points to help your freight brokerage improve your key business metrics of productivity, profitability, and engagement— assisting you to move your current and future freight better. You will need pricing and capacity tools to assess these in real-time.

Digital 60
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6 Supply Chain Trends That Could Truly Shake You Up (2018 Update)

Logistics Bureau

Others wave their hands and announce sweeping megatrends that sound impressive, but that lack supporting data. More and more transactions, operations and processes are conducted within IT servers and data centres. Some pick out particular statistics to make precise, but meaningless forecasts. We take a different approach here.

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Cart Before the Horse: Digital Freight Matching, A.I. and Machine Learning for Freight

Parade

In the case of brokerages, it would be impossible for their carrier sales reps to quickly, efficiently and reliably digest and understand all data about 10,000s of carriers. Without solid data collection, these emerging technologies would be impossible. Not very helpful. Not very effective at all.

Digital 68
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How AI Helps Build the Supply Chain that Thinks for Itself

Logistics Bureau

The following are examples. A key example is the expert system. This AI tool is based on data and rules. With more data and greater processing power now available, computers that learn by themselves have become more feasible. Using ML, a computer automatically finds patterns in data. Hard to plan for demand.

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After the Order: Customer Service Best Practices

Ship Monk

But if you make it hard, you’re adding to your customer service issues rather than reducing them. A knowledge-base support platform, such as Zendesk, HelpDocs, or Zoho Desk, enables customers to search a private database for answers to the most frequently asked questions. Centralize customer interaction data.