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Editor’s Choice: 8 Supply Chain Planning Challenges Retailers Will Face In 2022 And Tips To Overcome Them

Logistics Viewpoints

Insufficient materials to meet customer demand. The ongoing chip crisis since last year affecting 100+ industries is the best example: supply couldn’t meet the increased demand, which led to rising prices and shortages in computers, cars, and pretty much any other electronics product with chips.

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TEST Shipping Data: How Machine Learning, AI, Automation & Chatbots Create Hyper Efficiency

RPA Labs

Trying to meet current market demands with obsolete systems is an exercise in futility, and that is causing many shippers, carriers, and forwarders to struggle. These major areas of the challenge include: Scalability to shift productivity levels and focus on meeting current market trends and consumer demands.

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6 challenges facing medical device manufacturers and how ERP analytics can provide a cure

SYSPRO Smarter ERP

Manufacturers can exercise better control over the return and exchange of items bought from suppliers, ensuring smooth operations. This streamlined approach enables manufacturers to meet service-level agreement requirements efficiently.

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Consumer Packaged Goods: How CPG Shipping Works

GoShip Blog

These types of goods are also meant to be consumed almost immediately, so CPGs are usually shipped in massive quantities to meet the consumer’s demands. Conditions such as the freight container’s temperatures and the care exercised during loading and unloading are carefully considered when transporting specialty goods.

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Shipping Data: How Machine Learning, AI, Automation & Chatbots Create Hyper Efficiency

RPA Labs

Trying to meet current market demands with obsolete systems is an exercise in futility, and that is causing many shippers, carriers, and forwarders to struggle. These major areas of the challenge include: Scalability to shift productivity levels and focus on meeting current market trends and consumer demands.

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TEST Shipping Data: How Machine Learning, AI, Automation & Chatbots Create Hyper Efficiency

RPA Labs

Trying to meet current market demands with obsolete systems is an exercise in futility, and that is causing many shippers, carriers, and forwarders to struggle. These major areas of the challenge include: Scalability to shift productivity levels and focus on meeting current market trends and consumer demands.

article thumbnail

Shipping Data: How Machine Learning, AI, Automation & Chatbots Create Hyper Efficiency

RPA Labs

Trying to meet current market demands with obsolete systems is an exercise in futility, and that is causing many shippers, carriers, and forwarders to struggle. These major areas of the challenge include: Scalability to shift productivity levels and focus on meeting current market trends and consumer demands.