IBM Supply Chain: leveraging AI in supply chain
Over the past few years, artificial intelligence (AI) and Big Data have become prominent players in the supply chain space with a growing number of firms worldwide implementing new technology into operations. Such solutions have allowed for greater efficiency to be achieved, in addition to encouraging companies to uncover new processes and ways of thinking. IBM believes that these three steps are the key to beginning a successful digital transformation journey.
1. Align your goals and use cases.
Every successful venture must have a clear outcome and objective in mind. It’s key to define a specific problem that matters to the business and measure whether it’s a good fit for AI.
2. Explore your data landscape and assess the gaps
All AI models drive outcomes that requires data. In order to utilise that data, it’s important to determine the data sources, data types and currency of data to ensure it’s sufficient before implementation.
3. Consider a proof of concept
The proof of concept allows companies to ensure they possess the right data and toolset for the decisions a business user would want to make through the assistance of augmented intelligence. The most critical aspect of introducing AI into the supply chain is to determine what matters most to the company. It is thought that 90 days is enough to begin to drive meaningful results and uncover a clear path forward.
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