Remove Data Remove Examples Remove Temperature
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Tag the Temperature

Logistics Business Magazine

Pharma cold chain logistics requires strict adherence to temperature ranges, regulatory controls, and tight expiration windows. Furthermore, there is no guarantee that shipments would arrive intact and usable without the ability to monitor temperatures, be exposed to humidity and light, or withstand an impact/shock event.

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How manufacturers can monetize data

SYSPRO Smarter ERP

Data is a crucial component of digital transformation in the manufacturing sector. However, data in itself is not a value driver. Many manufacturers aren’t maximizing the value from enriching data and missing out on opportunities to grow, optimize or manage risk. Share data for partnership and growth.

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6 Types of Automation [Benefits, Pros/Cons, Examples]

Conger

Examples of automation range from a household thermostat to a large industrial control system, self-driven vehicles, and warehousing robots. Examples are industrial robots and multipurpose CNC machines. Process Automation Process automation means using technology to automate manual processes through data and systems integration.

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Autonomous Data Capture

Logistics Business Magazine

Real-time data, including inventory, enables structural visibility in logistics, which leads to better resource allocation, reduced downtime and improved customer service. Dexory’s robot (pictured) automated inventory management, providing instant, continuous data. She describes the machine as an ‘autonomous data capture unit’.

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Fresh Demand Planning: How AI Empowers Retailers

Logistics Viewpoints

Data Normalization & Removing Bias Data normalization in the context of forecasting is the process of going from actualized sales, which may be biased by various factors such as weather or inventory availability, to an understanding of baseline demand that is stripped of the impacts of these demand drivers.

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High-quality freight data is vital for supply chain automation

FreightWaves SONAR

Third-party supply chain and freight market data has become an important tool for retailers, manufacturers and suppliers who want to redesign their networks, improve strategic planning, benchmark their transportation spend and the service they’re getting in return, and measure the efficiency of their facilities.

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Leverage freight data for confident demand planning

FreightWaves SONAR

Lack of data, lack of conviction and lack of organizational agility all conspire to keep companies from recognizing medium-term opportunities and challenges and responding decisively. It’s hard to find good data that provides a view into the next few months of consumer behavior and economic activity.