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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

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. Product reviews and post-purchase satisfaction surveys are also good sources, as long as someone is reading them.

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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. Consumers are looking for more durable products.

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Overcoming the Hurdles for FMCG Transportation & Distribution Across ASEAN

Logistics Manager

“Hence, our transport partners have to be trained and shown how to comply with and maintain the correct standards to ensure all laws required by compliance are adhered to and reports are quality-driven. For example, food will be required close to BBD (best before date) and batch control is necessary for recalling and tracking purposes.

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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.