Thursday, November 7, 2024

Data and AI can optimize supply chain efficiency

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Every sector is undergoing a data and AI-driven revolution, including the supply chain that underpins many of those sectors. In recent years, supply chains have become more visible to corporations, as well as having a greater impact on the lives of customers. At the same time, the difficulties of meeting sustainability demands while maintaining a balance between geopolitical and financial issues have made it more difficult than it has ever been to manage supply chains in a way that is both efficient and sustainable.

Through the use of data and AI, Google Cloud has been able to bring excellent results to its supply chain customers. These customers have been given the opportunity to better understand their supply chains, locate areas in which they can improve, achieve their sustainability goals, and make decisions that are more informed.

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Today, we are delighted to introduce our years of industry experience to a wider range of customers by offering them access to our Data and AI Cloud for Supply Chain solution. Building data-driven supply chains using our technology and value accelerators has proven to be extremely valuable for our customers, who have helped us acquire a profound understanding of a wide range of business sectors along with our business partners and customers. The following are some of the advantages that come along with using Data and AI Cloud for Supply Chain:

  • You may provide exceptional client experiences by utilizing data and AI to get a better knowledge, boost the efficiency of your supply chain, and increase its resistance to disruption. Make an accurate forecast of when products will be needed and figure out the best time- and cost-effective strategy to get them to the desired location.
  • The ability of enterprises to identify bottlenecks, inefficiencies, and hazards through increased visibility has enabled them to free up resources, automate wherever it is practicable, and boost efficiency, leading to a reduction in both costs and their carbon footprint. This has been abundantly obvious not just via the decreased costs, but also through the increased happiness of both customers and employees.
  • A platform designed to expedite the deployment of AI-enabled use cases: Be prepared to utilize the most recent advances in generative AI technology for intercompany search, for instance, to gain insights into the far ends of the supply chain by asking a simple inquiry; or to serve up individualized experiences to your customers based on the availability of real-time inventory.

Providing value for the benefit of our customers

For a number of years now, innovative businesses have been reaping the benefits of employing Google’s Data and AI Cloud to power their operations.

  • Coop : By forecasting with the use of Google’s Data and AI technologies, Coop is able to cut down on the amount of food that is wasted, which results in a 43% performance gain over the solution that was built in-house specifically for their needs.
  • Renault enhances the visibility of its supply chain, lowers the cost of its inventory, gains a better understanding of the components’ end-of-life, and controls its logistics operations more effectively, all of which contribute to an increase in customer satisfaction.

Capabilities offered by Google’s Data and AI Cloud for the Supply Chain

The Data and AI Cloud for Supply Chain from Google features a wide selection of solutions and value accelerators that are designed to assist organizations in improving the efficiency of their supply chains. The following are some of the most important solutions and value accelerators:

  • AI-optimized planning and forecasting: The technologies offered by Google Cloud and our partners give companies the option to employ machine learning to help optimize their planning and forecasting procedures, as well as the availability of their products on store shelves. They could be able to cut waste as a result of this, as well as improve customer service and raise earnings.
  • Vendor performance visibility: Visibility into the performance of vendors is provided by this service, which assists businesses in monitoring the performance of their suppliers. This information can be used to identify and address possible issues, such as late deliveries or products of low quality, and it can also be utilized to prevent such issues from occurring.
  • Sharing data between companies: Companies may now more readily share data with their partners, vendors, and customers across their supply chain. This helps improve collaboration and coordination, and it also assists companies in making more informed decisions. Businesses are able to increase their collaboration and coordination, as well as make better informed decisions, by securely sharing data with their trading partners and connecting to a variety of data sources provided by our expansive ecosystem of suppliers.
  • Sophisticated partner ecosystem: We collaborate with a wide variety of Independent Software Vendors (ISVs) in the areas of supply chain and sustainability as part of our sophisticated partner ecosystem. Integrating third-party software applications (ISVs) like Kinaxis, Dematic, Atlas AI, ESG Book, NGIS, Project44, and Geotab into Google Cloud’s data and artificial intelligence capabilities helps our customers with crucial workflows. Utilizing the most recent iteration of Google Cloud’s Industry Value Networks, which brings accelerators and reusable intellectual property and assets together with select partners to solve a variety of high-value use cases across sectors, can further speed the development path of an organization.

Enhance and speed up the potential available in your supply chain

Using data and artificial intelligence, organizations of all sizes can improve the efficiency of their supply chains with the assistance of Google’s Data and AI Cloud for Supply Chain, which is a robust collection of solutions, value accelerators, and partner offers. Listen to our presentation at Google Cloud Next or get in touch with us through this page to find out more.

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