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Warehouse IT
What is a ‘dark’ warehouse? Many people think this refers to a ‘lights out’ facility which is saving energy, but the truth is a little more ‘dark’ than that – the term is referring to the lack of human labor involved due to the full automation of all material handling and associated processes. article

Are ‘dark’ times ahead for warehousing?

What is a ‘dark’ warehouse? Many people think this refers to a ‘lights out’ facility which is saving energy, but the truth is a little more ‘dark’ than that – the term is referring to the lack of human labor involved due to the full automation of all material handling and associated processes.

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article

Plugging identification gaps

Inventory errors in warehouse and distribution centres are a perennial challenge. Too much stock ties up capital, too little leads to lost sales and disappointed customers. Modern manufacturing, logistics and retail organisations need accurate inventory for real-time visibility, precision and preventing downtime.

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article

Check out the seminar agenda

Tomorrow’s Warehouse Coventry gives a platform for ops people to talk to an audience of ops people about lessons learned around warehouse transformation.

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How can logistics systems be future-proofed under increasing cost pressure and rapid innovation without losing sight of economic efficiency? EPG Consulting will address this and many other questions at LogiMAT 2026. product

Vendor neutral consulting

How can logistics systems be future-proofed under increasing cost pressure and rapid innovation without losing sight of economic efficiency? EPG Consulting will address this and many other questions at LogiMAT 2026.

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How comfortable are you with AI making independent decisions in the warehouse? Are you comfortable with AI looking at the data and deciding how many people to bring in for the evening shift? Or are you more comfortable with AI advising and people sense-checking the guidance? article

Let’s make a decision about making decisions

How comfortable are you with AI making independent decisions in the warehouse? Are you comfortable with AI looking at the data and deciding how many people to bring in for the evening shift? Or are you more comfortable with AI advising and people sense-checking the guidance?

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