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Getting Smart With Logistics Big Data

Freightos

And, like many other logistics startups , we’re particularly enthusiastic about how Big Data can change the way goods are moved around the world. Getting Smart With Logistics Big Data. A more stressful environment for manufacturers and shipping companies. Fundamental Feature. It makes sense. The result?

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How Can Manufacturers Manage Disruption and Improve Productivity?

Logility

How can manufacturers manage disruption and improve productivity? By using advanced analytics for manufacturing, to understand the valuable information concealed within the data they already have! Therefore, manufacturers must continually look for new ways to improve the productivity and profitability of their operations.

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How Can Manufacturers Manage Disruption and Improve Productivity?

Logility

How can manufacturers manage disruption and improve productivity? By using advanced analytics for manufacturing, to understand the valuable information concealed within the data they already have! Therefore, manufacturers must continually look for new ways to improve the productivity and profitability of their operations.

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Are You Caught in Word Salad Dribble?

Supply Chain Shaman

Through the use of a NoSQL unified data model, the company is able to now move data within 15-minute increments improving the data flow for inventory availability to improve allocation and ATP processing. Contract Manufacturing Signal Latency. In our research, we find that 32% of volume is manufactured by a third party.

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Market Beat. Four Thumbs Down and One Thumb Up.

Supply Chain Shaman

Today, supply chain excellence matters more than ever. Globally ten percent of jobs are in manufacturing, while 37% are associated with supply chain management. They are impatient that they know more about pizza’s status for lunch before their zoom meeting than the inbound shipment status for their critical manufacturing run.

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How to Manage Supply Chains as a Manufacturer with Automation and AI

Locus Robotics

By Geoff Whiting, Senior Writer, Red Stag Fulfillment Applying automation and artificial intelligence (AI) to supply chain management is an excellent way for manufacturers to increase the accuracy, speed, and efficiency of operations. RPA is an excellent tool for automating laborious processes currently executed manually.

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Do You Need a Graph?

Supply Chain Shaman

Like Linus clinging to his blanket, supply chain teams make most of their decisions on Excel spreadsheets. Isn’t it ironic that a relational database is poor for mining data about multi-tier relationships? Demand latency (the time from purchase by the customer to order visibility by the manufacturer) is weeks and months.