White Paper

Enhancing Service Reliability and Application Availability for Optimal Retail Operations

Introduction

The solution we offer, leveraging Edge as a key enabler, has been fully tried and tested in a retail store setting and it is also adaptable to a wide range of industries. Edge computing is becoming a transformative force for organizations with massively distributed locations, providing the foundation for digital transformation across daily operations. This architecture is particularly valuable for quick-service restaurants (QSRs), pharmacies, restaurants,
convenience stores, and other similar sub-verticals where distributed locations create unique challenges.

However, as companies with distributed locations attempt to scale and digitally transform, new challenges arise. The most critical challenges of managing distributed workloads stem from three factors: scale, heterogeneity, and dependencies. Edge environments are massively distributed, often involving hundreds of thousands of devices across hundreds oflocations, making scalability a significant hurdle. Adding to this complexity is the heterogeneity of edge deployments, which involve a wide array of technologies and vendors, including hyperscalers, software providers, and ISVs, all contributing to different aspects of the Edge stack, making integration and management challenging. Finally, dependencies between workloads, networks, and infrastructure create further complexity, as Edge workloads are business critical and require real-time, adaptive network configurations to ensure business continuity and minimize disruptions.

To address these challenges, NearbyOne, a cloud-native and intent-driven orchestration platform is leveraged. NearbyOne is built to automate the network functions, edge applications, and underlying infrastructure that support those functions. Designed to be interoperable and vendor-agnostic, the platform is capable of managing diverse Edge environments efficiently. By automating and simplifying these operations, it allows organizations to deploy and manage applications and infrastructure at scale.

Challenges

The RETAILER faced significant difficulties managing remote stores due to existing POS system’s reliance on cloud infrastructure. RETAILER’s current setup involves a backoffice server per site connected to the POS/SCO, with each site linked to the cloud for data synchronization, centralized management, backup and recovery, and integration to other enterprise back-office applications like ERP, SCM etc. However, this setup has exposed several critical challenges, primarily due to the reliance on cloud-based POS operations, creating a single point of failure.

Initial Retail Architecture

Solution

To address the challenges, Nearby Computing proposed decentralizing POS operations by containerizing (the virtualized) POS to run at the store level. This will provide local redundancy and be orchestrated from a central location, ensuring continuous operations even during hardware or connectivity failures.

This new architecture will enhance central observability and management, enabling quicker identification and resolution of issues.

RDecentralized POS Operations
The solution involves containerizing the POS to run locally at each store. This decentralization provides redundancy at the store level, ensuring that local operations can continue seamlessly even if there is a hardware or connectivity failure.

RCentral Orchestration
Despite decentralizing POS operations, a central orchestration system will manage these distributed systems. This central management will enable RETAILER’s IT team to monitor and control all store operations from a single location, improving efficiency and response times.

ROrchestration of a Centralized Hardware Driver-stack for Easy Deployment
To streamline the management of hardware components such as POS systems, scanners, and printers, Nearby Computing developed an easily deployable driver stack. This solution simplifies the deployment and lifecycle management (LCM) of hardware drivers across all retail stores. By automating driver updates and ensuring compatibility with ancillary hardware, the driver stack enables quick and consistent hardware setup at new store locations and ensures smooth operations at existing stores. The customer had previously encountered significant challenges related to driver management, but this orchestration ensures a seamless, centralized approach, reducing manual intervention and minimizing disruptions.

RApplication Lifecycle Management
A key improvement will be the automation of application updates, patches, and upgrades, which are currently handled manually. The new solution will provide centralized lifecycle management for all applications, including POS systems and associated hardware drivers for scanners, printers, and self-checkout systems. This ensures that updates can be rolled out
seamlessly across all stores without disrupting operations, reducing downtime and improving overall system stability.

RSecurity and Compliance Automation
The solution incorporates automated security updates and compliance checks across all POS systems and connected devices. This ensures that each store meets the data sovereignty regulations and maintains a high level of data protection, minimizing the risk of security breaches or compliance violations.

REnhanced Observability and Management
The new architecture will provide comprehensive visibility into the performance and health of all store systems. Centralized observability tools will enable the IT team to detect and address issues proactively, reducing the need for onsite visits and accelerating problem resolution.

RKubernetes Cluster Deployment
Each store will deploy a Kubernetes cluster, virtualizing the POS across the cluster to ensure redundancy. This setup also allows other applications to run as containers, facilitating scalability and flexibility.

R Scalability and Futureproofing
The containerized infrastructure is highly scalable, allowing RETAILER to add new nodes or clusters as needed. This flexibility supports the integration of new applications and services, ensuring the infrastructure can adapt to future technological advancements and growing demands.

R Improved Customer Experience:
By deploying new edge applications, RETAILER aims to enhance the in-store customer experience. Potential use cases include:
• Contactless checkout
• Real-time promotions
• Digital signage
• Flow analysis
• Inventory and fraud management
• Edge AI powered by in-house and third-party AI apps

RComprehensive Orchestration
The solution will offer 360-degree visibility, control, and lifecycle management through a single pane of glass for managing the comprehensive workload across infrastructure, applications, and connectivity fabrics.

New Retail Architecture

Benefits

By leveraging containerization both at the store level and centrally at the Head Office (HO), RETAILER can significantly enhance daily operations and pave the way for the retail store of the future. The benefits include improved management, streamlined operations, scalable infrastructure, and advanced failover capabilities, all contributing to a more resilient and efficient retail ecosystem.

Enhanced Resilience:
Local redundancy provided by the containerized POS operations at each store minimizes the impact of hardware or connectivity failures, ensuring continuous operation and reducing the risk of store downtime. This resilience is critical for maintaining smooth daily operations.

Failover Capabilities:
In the event of a POS failure on-site, the system can automatically establish failover to other on-site or cloud resources, ensuring store operations continue without disruption. This safeguards revenue by preventing prolonged downtime and operational losses.

Ease of Management:
Centralized management at the Head Office provides a unified view of the entire ecosystem, enabling faster identification of issues and immediate response, sig- nificantly improving operational efficiency across all stores.

Application Lifecycle Management
Automating application updates, patches, and upgrades for all stores ensures that systems remain secure, up-to-date, and free of vulnerabilities. This extends to managing software and drivers for POS-related hardware such as scanners and self-checkout systems, reducing operational risk and downtime.

Streamlined Operations
Centralized access to logs, telemetry, and diagnostics from all stores allows the IT team to efficiently troubleshoot and resolve issues, optimizing resource alloca- tion and reducing the need for manual intervention.

Scalability
The flexible containerized architecture allows for easy expansion, enabling rapid deployment and upgrading of new and existing stores through automated po- licies. This accelerates growth and reduces the need for extensive human and technical resources, making expansion more efficient.

Future Readiness
The new orchestration platform equips RETAILER with the ability to deploy new applications, including custom AI and ML models, seamlessly. This future-proof approach ensures RETAILER can rapidly integrate innovative technologies and adapt to new business demands without overhauling the infrastructure.

Value-Added Solutions
The containerized infrastructure supports the integration of advanced solutions, such as video analytics for security, theft prevention, and customer retention, which can be easily deployed across stores to improve operations and enhance overall customer experience.

Improved Customer Experience
The deployment of advanced edge applications, such as contactless checkout, real-time promotions, and digital signage, elevates the in-store experience, in- creasing customer satisfaction and driving engagement.

Cost Efficiency
Optimized IT resources and reduced need for onsite interventions lead to lower operational costs, creating significant savings across the enterprise and allowing for more strategic use of budget and resources.

Quantifiable & Measurable Results

Implementing this solution has led to significant improvements in performance, efficiency, and cost savings. Below are some of the key measurable results achieved:

WHITE PAPER

Enhancing Service Reliability and Application
Availability for Optimal Retail Operations