In 2024, retailers are focused on enhancing operational efficiency, improving customer experiences, and driving revenue growth. Edge AI leads these innovations, particularly in improving brick-and-mortar operations. However, managing these technologies across multiple locations, especially when it comes to hundreds or thousands, presents unique challenges. Broadcom's milestone software release for edge computing, VMware Edge Compute Stack release 3.5 (ECS 3.5), addresses these challenges, offering robust solutions specifically tailored for the retail industry.

Embracing edge AI in retail

According to the Gartner^® 2024 CIO Agenda, key outcomes for digital technology investments in retail include improving operating margins (67%), generating revenue (84%), and excelling in customer experience (65%)*. AI and machine learning are among the top technologies where retail CIOs are increasing their investments, with 87%* of respondents highlighting their importance. These statistics underscore the critical role of AI in driving retail innovation and the need for efficient, scalable solutions like VMware Edge Compute Stack to implement these technologies effectively.

VMware Edge Compute Stack: New features and benefits

Zero-touch orchestration: One of the standout features of VMware Edge Compute Stack 3.5 is zero-touch orchestration. This simplifies the deployment and management of AI applications across numerous locations, ensuring that even the most remote stores can benefit from cutting-edge AI technologies without the need for on-site IT support. Retailers often lack certified IT personnel at each location and rely on local non-technical staff to follow basic instructions for setting up new edge devices and connecting them to the network. Once connected, the edge device seamlessly interacts with VMware Edge Cloud Orchestrator, eliminating the need for on-site IT support.

Pull-based architecture: The pull-based architecture of ECS 3.5 ensures efficient distribution and updates of AI models to edge devices, which is crucial for maintaining consistency and reliability in AI-driven applications such as real-time inventory management and automated price adjustments. Additionally, this architecture supports verifying authentication and fetching the desired configuration from the Git repository, enhancing overall system security and resilience. It also accounts for offline or limited network connectivity, which is critical for retailers who demand uninterrupted store operations. When the connection is restored, the pull-based architecture checks for any missed updates, similar to how smart devices operate.

VMware Edge Cloud Orchestrator (VECO): Zero-touch provisioning and lifecycle management of edge apps and infrastructure is simple with VECO. It uses a similar architecture and methodology as VMware VeloCloud SD-WAN, which has proven effective at large and small customers worldwide. While we are at the beginning of the AI revolution, the sheer number of AI apps running in stores and updates to those apps will increase exponentially. Whether it's quickly recovering edge sites or deploying new ones, VECO will maintain operational efficiency and remain competitive through continuous innovation.

Edge fleet management: Comprehensive edge fleet management allows retailers to monitor their edge devices seamlessly. This feature ensures that all devices operate optimally, providing a robust and scalable solution for handling the unique challenges of edge environments. Our fleet management supports a growing platform that hosts multiple use cases and manages various hardware devices in a store, each running discreetly. Whether you are transforming stores to support legacy technology or new innovations, our adaptable fleet management is here to support you every step of the way.

Transforming Retail Operations with Edge AI

Improving operational efficiency

With ECS 3.5, retailers can leverage AI-driven store operations to optimize inventory management, reducing stockouts and overstock situations. Automated processes, such as price adjustments and shelf stocking, further enhance efficiency, directly impacting profitability.

Enhancing customer experience

AI at the edge enables personalized shopping experiences by analyzing shopper behavior and offering real-time recommendations. Interactive displays powered by AI can provide information and promotions tailored to individual customers, significantly improving the shopping experience.

Harnessing business intelligence

Predictive analytics powered by edge AI allows retailers to forecast demand more accurately, optimize product placement, and make data-driven decisions that drive sales. These capabilities are essential for staying competitive in today's fast-paced retail environment.

Ensuring a secure and safe environment

Edge technology significantly enhances safety and security for retailers by enabling real-time monitoring and analysis. For example, edge devices equipped with computer vision can instantly recognize and respond to potential threats, such as shoplifting or unauthorized access, thereby improving loss prevention efforts. This advanced technology can replace outdated CCTV systems, providing more accurate and immediate insights. By processing data locally, retailers can quickly detect suspicious activities and deploy security measures, ensuring a safer shopping environment.

Conclusion

VMware Edge Compute Stack 3.5 is a game-changer for the retail industry, offering a suite of features that address the complexities of edge AI deployment and management. By aligning with market trends and leveraging advanced technologies, retailers can achieve critical business outcomes, enhance customer experiences, and drive revenue growth. As we continue to navigate the digital transformation in retail, solutions like ECS 3.5 will be instrumental in shaping the future of the industry.

For more details on how VMware Edge Compute Stack 3.5 can revolutionize your retail operations, visit our blog post Redefining Edge Operations with VMware Edge Compute Stack 3.5.

* Gartner, Retail 2024 CIO Agenda Insights and Data by Kelsie Marian, Sandeep Unni, 20 December 2023. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.

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