AI in Supply Chain Use Cases
The pandemic showed just how critical it is to have a holistic view of supply chains. Any disruption along the way is a significant problem, and any improvement can increase profit margins.
AI provides real-time insights into the supply chain, helping companies monitor the movement of goods and materials, predict delays, and respond quickly to disruptions. Thanks to technology like IoT sensors and RFID tags, a wealth of data is available around logistics. It takes AI tools to swiftly parse all that information to deliver real-time intelligence that organizations can act on.
AI can use that same data to optimize logistics and transportation routes, reducing delivery times and transportation costs. For example, about 20 percent of the trucks on the road are empty because no loads are available that need to go in the same direction as the driver—using AI to better design routes can cut that in half.
While AI can parse information from sensors to spot supply chain problems, more broadly, it can analyze global events, supplier performance, and market conditions to predict and mitigate risks in the supply chain.
Say a once-reliable supplier has started falling behind on orders. AI can flag that so it can be considered before new orders are placed. For example, Unilever uses an AI application and service provided by German-based start-up Scoutbee to find alternative supply sources on short notice.
Yes, absolutely.
Possibly
Unsure
No, not really.
AI is a powerful tool for streamlining processes in the supply chain, such as warehouse operations. In order fulfillment, AI can automate and optimize order processing, picking, packing, and shipping—making everything faster and more accurate.
In warehouse management, AI can track inventory levels, optimize warehouse layouts, and direct autonomous vehicles or robots.
For example, the UK grocery store chain Ocado uses AI to manage its logistics operations. It even has robots that pack grocery orders—significantly reducing fulfillment times.
Customer service can be automated and improved with tools like AI-driven chatbots that handle customer inquiries related to orders, shipping, and product information. It has the dual benefit of improving the customer experience while reducing costs.
AI can also analyze customer behavior and preferences to deliver targeted marketing campaigns—improving customer engagement and sales.
The team at Google is at the forefront of AI development. Its Gemini platform can understand and combine different types of information, including text, code, audio, image, and video.
That means it can do everything from examining images captured in the manufacturing process in real-time to quickly sifting through vast amounts of data for actionable insights.
Google is also dedicated to integrating AI with its Android operating system to give mobile users AI tools that they can leverage wherever they are.
Stratix recently hosted a webinar with Google to talk about the possibilities of AI. View the on-demand webinar to learn practical AI applications that drive productivity and security, tailored for modern enterprise needs.
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