Businesses can use AI to organise and analyse data in supply chains and thus facilitating decision-making in problems related to logistics and warehousing. In manufacturing, AI is essential for the improvement of efficiency and helps in saving time. AI is already transforming the manufacturing sector with the technology being used to perform functions such as predictive maintenance, quality control, and defect detection, optimisation of supply chains, waste control, generative design, and assembly line optimisation (Vaneker et al., 2020).
Businesses are exploiting AI capabilities due to the ability of the technology to utilise a large amount of data collected in businesses.
Can you find out what AI companies are doing in this space? If you set up a company with an AI solution, what would that solution be and what competitors are there? What is on the radar for AI in this sector over the next 5 years+ ?
See for example:
In the grocery sector, we’ve seen some real supply chain issues, running out of essential products – could AI help with that?
In manufacturing, which sectors could benefit most from AI? Focussing down further to a sector may also be helpful.
You’re definitely in the right area though:
In the supply-chain and logistics industry, these technologies are proving to be a game changer. McKinsey & Company expects businesses to gain between $1.3tr and $2tr a year in economic value by using AI in their supply chains. According to PricewaterhouseCoopers, AI could contribute almost $15.7tr to the global economy by 2030.
In terms of what is coming, if you do some searches like
‘what is new in AI over 10 years AND supply chain’ you will find articles like:
