Supply chain management with AI

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On average, businesses estimate they spend 55 hours per week doing manual processes and checks. Could this be avoided?

Supply-chain-management-AI

Supply chain management AI

Supply chain management AI- On average, businesses estimate they spend 55 hours per week doing manual processes and checks. Could this be avoided?

Here, Jonathan Wilkins, Marketing Director industrial parts supplier EU Automation, explains the potential of artificial intelligence (AI) in supply chain management.

These trivial, but necessary, tasks equate to 6,500 work-hours in the working year, some of which could be saved by implementing AI and automation. However, these financial issues represent just one part of the complex supply chain. Could wider challenges, such as logistics and distribution also benefit from the AI treatment?

With volumes of data growing at an unprecedented rate, computers are capable of parsing data in a contextual manner, providing useful insight to an operator — without them doing any of the legwork. Big data technologies are also capable of analysing market trends, integrating with enterprise systems and triggering automated actions based on the data it collects.

Build AI readiness

Businesses must have large data sets of deep granularity for effective AI to take place. Granularity is used to characterize the scale or level of detail in a set of data, of which AI is highly dependent on. The greater the granularity, the deeper the level of detail across the data. Whether AI implementation is in the forthcoming plans or not, it’s a good idea to ensure data collection and storage are geared for high granularity.

Boosting granularity may mean increasing the frequency of data readings, refining the precision of such recordings or even placing sensors in new places to measure new variables. For example, if a flow meter is currently measuring the flow rate of a liquid in litres per minute, changing this recording to millilitres per minute may provide more insightful data. Ultimately, even if a business is not AI-ready today, improving granularity will lay the foundation for when AI inevitably becomes a competitive differentiator.

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Article Credit: BC

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