IoT Signals retail report: IoT’s promise for retail will be unlocked addressing security, privacy and compliance

Few industries have been disrupted by emerging technology quite like retail. From exploding online sales to the growth of mobile shopping, the industry has made a permanent shift to accommodate digital consumers.

The rise of IoT has forced the retail industry to take notice; IDC expects that by 2025 there will be 41.6 billion connected IoT devices or ‘things,’ generating more than 79 zettabytes (ZB) of data. These billions of devices are creating unprecedented visibility into a business, leading to transformation of operations, from the supply chain to automated checkout, personalized discounts, smart shelves, and other advances powered by IoT. In fact, IoT can help brick-and-mortar stores create customer experiences that rival that of online stores; for instance, customers can be sent alerts about discounts relevant to them when they get close to a store, and those stores can use IoT to keep track of inventory and increase efficiency.

Today we're sharing a new IoT Signals report focused on the retail industry that provides an industry pulse on the state of IoT adoption to help inform how we better serve our partners and customers, as well as help retail leaders develop their own IoT strategies. We surveyed 168 decision makers in enterprise retail organizations to deliver an industry-level view of the IoT ecosystem, including adoption rates, related technology trends, challenges, and benefits of IoT.

The study found that while IoT is almost universally adopted in retail and considered critical to success, companies are challenged by compliance, privacy concern, and skills shortages. To summarize the findings:

Retail IoT is strong and improving customer experience is a growth opportunity. Retailers’ future planning focuses on IoT projects that help customers get in and out quickly, which increases revenue. Areas like automated checkout and optimizing inventory and layout are key, and survey respondents rank store analytics (57 percent) and supply chain optimization and inventory tracking (48 percent) as the top two IoT use cases.
AI is integral to IoT and retailers who incorporate it achieve greater IoT success. For many retail IoT decision makers (44 percent), AI is a core component of their IoT solutions. Furthermore, retailers who leverage AI say they are able to use their IoT solutions more quickly and more fully. They also plan to use IoT even more in the future than those not integrating AI. Those surveyed who use AI as a core part of their solutions are more likely to use it for layout optimization, digital signage, smart shelving, and in-store contextualized marketing (including beacons).
Across regions, unique retail benefits and challenges emerge around IoT, but all are committed. Globally, IoT is being widely adopted in retail, with the survey respondents in the US, UK, and France all reporting 92 percent IoT in adoption. In the US, IoT is often utilized for security and store analytics (65 percent each), while store analytics (49 percent) and supply chain and store optimization (43 percent) are more popular uses in Europe. Despite a variety of adoption barriers across regions, retailers are dedicated to overcoming challenges and leveraging IoT even more in the future.
IoT is seen as critical to retail business success. Nearly 9 in 10 (87 percent) surveyed consider IoT as critical to their business success. Looking forward, respondents believe the biggest benefits they will see from IoT adoption include increased efficiency (69 percent), cost savings (64 percent), increased competitive advantage (62 percent), and new revenue streams (56 percent).
The biggest barriers to success for retailers include budget, privacy concerns, compliance challenges, and talent. In the US, the top three concerns of retailers surveyed are a lack of budget, consumer privacy concerns, and lack of technical knowledge. In Europe, compliance and regulatory challenges top the list, followed by human resources and timing and deployment issues. Despite these challenges, the future of IoT looks bright, with 82 percent of US and 73 percent of European respondents anticipating greater IoT implementation in the future.

Microsoft is leading the charge to address these IoT challenges

We're committed to helping retail customers bring their vision to life with IoT, and this starts with simplifying and securing IoT. Our customers are embracing IoT as a core strategy to drive better business outcomes, and we are heavily investing in this space committing $5 billion in IoT and intelligent edge innovation by 2022 and growing our IoT and intelligent edge partner ecosystem to over 10,000.

We're dramatically simplifying IoT to enable every business on the planet to benefit. We have the most comprehensive and complete IoT platform and are going beyond that to simplify IoT. Some key examples include Azure IoT Central, which enables customers and partners to provision an IoT app in seconds, customize it in hours, and go to production the same day. To help ensure that retailers have a robust talent pool of IoT developers, we've developed both an IoT School and an AI School, which provides free training for common application patterns and deployments.

Security is crucial for trust and integrity in IoT cloud- and edge-connected devices because they may not always be in trusted custody. Azure Sphere takes a holistic security approach from silicon to cloud, providing a highly secure solution for connected microcontroller units (MCUs), which go into devices ranging from connected home devices to medical and industrial equipment. Azure Security Center provides unified security management and advanced threat protection for systems running in the cloud and on the edge.

Finally, we’re helping our retail customers leverage their IoT investments with AI at the intelligent edge. Azure IoT Edge enables customers to distribute cloud intelligence to run in isolation on IoT devices directly and Azure Databox Edge builds on Azure IoT Edge and adds virtual machine and mass storage support. Going forward, Azure Digital Twins (currently in preview) will enable retailers to create complete virtual models of physical environments, making it easy to unlock insights into their retail environments.

When IoT is foundational to a retailer’s transformation strategy, it can have a significantly positive impact on the bottom line, customer experiences, and products. We are invested in helping our partners, customers, and the broader industry to take the necessary steps to address barriers to success. Read the full IoT Signals Retail Report and learn how we are helping retailers embrace the future and unlock new opportunities with IoT.
Quelle: Azure

Azure is now certified for the ISO/IEC 27701 privacy standard

We are pleased to share that Azure is the first major US cloud provider to achieve certification as a data processor for the new international standard ISO/IEC 27701 Privacy Information Management System (PIMS). The PIMS certification demonstrates that Azure provides a comprehensive set of management and operational controls that can help your organization demonstrate compliance with privacy laws and regulations. Microsoft’s successful audit can also help enable Azure customers to build upon our certification and seek their own certification to more easily comply with an ever-increasing number of global privacy requirements.

Being the first major US cloud provider to achieve a PIMS certification is the latest in a series of privacy firsts for Azure, including being the first to achieve compliance with EU Model clauses. Microsoft was also the first major cloud provider to voluntarily extend the core data privacy rights included in the GDPR (General Data Protection Regulation) to customers around the world.

PIMS is built as an extension of the widely-used ISO/IEC 27001 standard for information security management, making the implementation of PIMS’s privacy information management system a helpful compliance extension for the many organizations that rely on ISO/IEC 27001, as well as creating a strong integration point for aligning security and privacy controls. PIMS accomplishes this through a framework for managing personal data that can be used by both data controllers and data processors, a key distinction for GDPR compliance. In addition, any PIMS audit requires the organization to declare applicable laws/regulations in its criteria for the audit meaning that the standard can be mapped to many of the requirements under GDPR, CCPA (California Consumer Privacy Act), or other laws. This universal framework allows organizations to efficiently operationalize compliance with new regulatory requirements.

PIMS also helps customers by providing a template for implementing compliance with new privacy regulations, helping reduce the need for multiple certifications and audits against new requirements and thereby saving both time and money. This will be critical for supply chain business relationships as well as cross-border data movement. 

This short video demonstrates how Microsoft complies with ISO/IEC 27701 and our compliance benefits customers. 

Schellman & Company LLC issued a certificate of registration for ISO/IEC 27701:2019 that covers the requirements, controls, and guidelines for implementing a privacy information security management system as an extension to ISO/IEC 27001:2013 for privacy management as a personally identifiable information (PII) processor relevant to the information security management system supporting Microsoft Azure, Dynamics, and other online services that are deployed in Azure Public, Government cloud, and Germany Cloud, including their development, operations, and infrastructures and their associated security, privacy, and compliance per the statement of applicability version 2019-02. A copy of the certification is available on the Service Trust Portal.

Modern business is driven by digital transformation, including the ability to deeply understand data and unlock the power of big data analytics and AI. But before customers – and regulators – will allow you to leverage this data, you must first win their trust. Microsoft simplifies this privacy burden with tools that can help you automate privacy, including built-in controls like PIMS. 

Microsoft has longstanding commitments to privacy, and we continue to take steps to give customers more control over their data. Our Trusted Cloud is built on our commitments to privacy, security, transparency, and compliance, and our Trust Center provides access to validated audit reports, data management capabilities, and information about the number of legal demands we received for customer data from law enforcement.
Quelle: Azure

IBM Power Systems now available on Google Cloud

Enterprises looking to the cloud to modernize their existing infrastructure and streamline their business processes have many options. At one end of the spectrum, some organizations are replatforming entire legacy systems to adopt the cloud. Many others, however, want to continue leveraging their existing infrastructure while still benefiting from the cloud’s flexible consumption model, scalability, and new advancements in areas like artificial intelligence, machine learning, and analytics.To help you meet your cloud goals, whatever they may be, Google Cloud now offers IBM Power Systems as part of our cloud solutions. Today, customers can run IBM Power Systems as a service on Google Cloud—whether you’re using AIX, IBM i, or Linux on IBM Power. For organizations using a hybrid cloud strategy, especially, IBM Power Systems are an important tool. Because of their performance and ability to support mission critical workloads—such as SAP applications and Oracle databases—enterprise customers have been consistently looking for options to run IBM Power Systems in the cloud. IBM Power Systems for Google Cloud offers a path to do just that, providing the best of both the cloud and on-premise worlds. You can run enterprise workloads like SAP and Oracle on the IBM Power servers that you’ve come to trust, while starting to take advantage of all the technical capabilities and favorable economics that Google Cloud offers. IBM Power Systems on Google Cloud offers many other benefits, as well, including:Integrated billing: You can deploy the solution through the Google Cloud Marketplace and take advantage of integrated Google Cloud billing. This means you can take advantage of this offering just like any other Google Cloud service and get a unified bill from Google Cloud. Private API access: Google Cloud’s Private API Access technology lets you access Google Cloud resources privately, while enabling all IBM Power Systems resources (LPARs) to use private IP spaces that you choose. It’s secure by design and enables ultra low latency between the IBM Power servers and Google Compute Engine virtual machines.Integrated customer support: Google Cloud manages customer support, giving you one point of contact for any issues.Rapid deployment: An intuitive new management console enables quick ramp and rapid deployment of the solution.Many enterprise customers, including leaders in energy and retail, have already begun modernizing their infrastructure with this new offering. To learn more about how you can use IBM Power Systems on Google Cloud contact your Google Cloud sales representative, or email us at IBMPowerForGoogleCloud@google.com.
Quelle: Google Cloud Platform

Retailers embrace Azure IoT Central

For many retailers around the world, the busiest quarter of the year just finished with holiday shopping through Black Friday and Cyber Monday to Boxing Day. From supply chain optimization, to digital distribution, and in-store analytics, the retail industry has wholeheartedly embraced IoT technology to support those spikes in demand; particularly in scenarios where brands need to build flexibility, hire strong talent, and optimize the customer experience in order to build brand loyalty. In our latest IoT Signals for Retail research, commissioned by Microsoft and released January 2020, we explore the top insights from leaders who are using IoT today. We discuss growth areas such as improving the customer experience, the use of artificial intelligence to achieve break-through success, and nuances between global markets around security concerns and compliance.

Building retail IoT solutions with Azure IoT Central

As Microsoft and its global partners continue to turn retail insights into solutions that empower retailers around the world, a key question continues to face decision makers about IoT investments; whether to build a solution from scratch, or buy a solution that fits their needs. For many solution builders, Azure IoT Central is the perfect fit, a fully managed IoT platform with predictable pricing and unique features like retail specific application templates that can accelerate solution development thanks to the inclusion of over 30 underlying Azure services. Let us manage the services so you can focus on what’s more important, applying your deep industry knowledge to help your customers.

New tools to accelerate building a retail IoT Solution

Today we are excited to announce the addition of our sixth IoT Central retail application template for solution builders. The Micro-fulfilment center template showcases how connectivity and automation can reduce cost by eliminating downtime, increasing security, and improving efficiency. App templates can help solution builders get started quickly and includes sample operator dashboards, sample device templates, simulated devices producing real-time data, access to Plug and Play devices, and security features that give you peace of mind. Fulfillment optimization is a cornerstone of operations for many retailers and optimizing early may offer significant returns in the future. Application templates are helping solution builders overcome challenges like getting past the proof-of-concept phase, or building rapid business cases for new IoT scenarios.

IoT Central Retail Application Templates for solution builders.

Innovative Retailers share their IoT stories

In addition to rich industry insights like those found in IoT Signals for Retail, we are proudly releasing three case stories detailing decisions, trade-offs, processes, and results from top global brands investing in IoT solutions, and the retail solution builders supporting them. Read more about how these companies are implementing and winning with their IoT investments and uncover details that might offer you an edge as you navigate your own investments and opportunities.

South Africa Breweries and CIRT team up to solve a cooler tracking conundrum

South Africa Breweries, a subsidiary of AB InBev, is the worlds’ largest brewing company and is committed to keeping its product fresh and cold for customers, a challenge that most consumers take for granted. From tracking missing coolers to reducing costs, and achieving sustainability goals, Sameer Jooma, Director of Innovation and Analytics for AB InBev turned to IoT innovation led by Consumption Information Real Time (CIRT), a South African solution builder. CIRT was tasked to pilot Fridgeloc Connected Cooler, a cooler monitoring system, providing real time insight into temperature (both internal cooler and condenser), connected state and location of hundreds of coolers through urban and rural South Africa. Revamping an existing cooler audit process that involved auditors visiting dealer locations to verify that a cooler was in the right place, and tracking the time between delivery and installation to an outlet are just two of the process optimization benefits found by Jooma.

“The management team wanted to have a view of the coolers, and to be able to manage them centerally at a national level. IoT Central enabled us to gain that live view.” – Sameer Jooma, Director: Innovation and Analytics, AB InBev.

Learn more about the universal cooler challenges that face merchants and consumer packaged goods companies worldwide in the case story.

On the “road” to a connected cooler in rural South Africa, a field technician gets stuck in the sand on his way to the tavern.

Fridgeloc Connected Cooler at a tavern in Soweto, South Africa.

Mars Incorporated Halloween display campaign unveils new insights thanks to Footmarks Inc.

For most consumer packaged goods companies, sales spike during holiday times thanks to investments across the marketing and sales mix, from online display advertising to in-store physical displays. This past Halloween, Jason Wood, Global Display Development Head, Mars Inc., a global manufacturer of confectionery and other food products, decided it was time to gain deeper insights into an age-old problem of tracking where their product displays went after they left the warehouse. Previously, Mars was only able to track the number of displays it produced, and how many left its warehouses for retailer destinations. They found the right partner with Footmarks Inc. who has designed their beacon and gateway-based display tracking solution with Azure IoT Central to deliver secure, simple and scalable insights into what happens once displays begin transit. Several interesting insights emerged throughout the campaign and afterward.

"Information on when displays came off the floor were surprising—major insights that we wouldn't have been able to get to without the solution." – Jason Wood, Global Display Development Head, Mars Inc.

Learn more about challenges Mars and Footmarks faced scaling, pricing, and managing devices for display tracking in the case story.

Foormarks Inc., Smart Connect Cloud dashboard for Mars Wrigley showing display tracking solution using IoT sensors for the 2019 Halloween campaign.

Microsoft turns to C.H. Robinson and Intel for Xbox and Surface supply chain visibility

In advance of the busy 2019 holiday season and the introduction of many new Surface SKU’s, the Microsoft supply chain team was interested in testing the benefits of a single platform connecting IoT devices on shipments globally, streamlining analytics and device management. This Microsoft team was also thinking ahead, preparing for the launch of the latest Xbox console, Xbox Series X, and for a series of new Surface product launches. With Surface and Xbox demand projected to grow around the world, the need for insights and appropriate actions along the supply chain was only going to increase. The Microsoft team partnered with TMC (a division of C.H. Robinson), a global technology and logistics management provider who partnered with Intel, to design a transformative solution based on their existing Navisphere Vision software that could be deployed globally using Azure IoT Central. The goal was to track and monitor shipments’ ambient condition for shock, light, and temperature to identify any damage in real time, anywhere in the world—at a scale covering millions of products.

“The real power comes in the combination of C.H. Robinson’s Navisphere Vision, technology that is built by and for supply chain experts, and the speed, security, and connectivity of Azure IOT Central.” – Chris Cutshaw, Director of Commercial and Product Strategy at TMC

Learn more about the results from the recent holiday season and what Navisphere Vision can do for global supply chain visibility in the case story.

Navisphere Vision dashboard showing IoT Sensors activity, managed through Azure IoT Central.

Getting started

NRF 2020: Retail's Big Show is happening in Manhattan from January 12 to 14. Azure IoT and other experts including retail solution builders Attabotics, C.H. Robinson, and CIRT will be in attendance.

Read more about IoT Signals for Retail report.

Get started with Azure IoT Central today.

Learn more about the solutions being used by these customers today.

Footmarks Inc. Smart Tracking asset tracking for consumer packaged goods companies.
CIRT Fridgeloc solution.
C.H. Robinson Navisphere Vision solution.

Intel, the Intel logo, and other Intel marks are trademarks of Intel Corporation or its subsidiaries.

Quelle: Azure

Performance art: Making cloud network performance benchmarking faster and easier

Before you migrate workloads to the cloud, you need to benchmark network performance in order to understand how that performance affects your business applications. Unfortunately, the cloud hasn’t offered the standards, tools, and methods to do the benchmark testing you need. As a result, you’re forced to make deployment decisions without comprehensively understanding the implications of network performance for your use case.Today, we’re excited to make a few announcements that will help you understand cloud network performance more quickly and easily:We are investing in performance benchmarking tools. To begin with, we merged new contributions to PerfKit Benchmarker, an open-source tool created inside Google that makes network performance benchmarking faster and easier by automating network setup, provisioning of VMs, and test runs. With the updates, PerfKit Benchmarker now supports a broader range of network performance tests for VM-to-VM latency, throughput, packets-per-second for multiple clouds (inter-region, inter-zone, intra-zone, and on-prem to cloud), and lets you view the results in Google Data Studio (free to use). With this information, you can more accurately predict the performance impact of moving workloads to/across different clouds.The publication of a new benchmarking methodology for using PerfKit Benchmarker continuously and consistently. This methodology, co-developed with performance engineering researchers at Southern Methodist University’s AT&T Center for Virtualization, is based on Google’s own internal best practices. “Continuous performance measurement and benchmarking are essential for understanding trends and patterns in large-scale cloud deployments,” said Suku Nair, director of SMU AT&T Center for Virtualization. “PerfKit Benchmarker, which wraps over 100 industry standard benchmark testing tools in an easy-to-use and extensible manner, is a key enabler in automating this process.”Read on for an overview of how to use PerfKit Benchmarker to take advantage of its new features, such as support for additional performance metrics (e.g., packets per second) and deployment use cases  (e.g., VPN). Using PerfKit BenchmarkerPerfKit Benchmarker automates the setup and teardown of all the resources you need to run tests on (or between) most major public cloud providers, as well as on-premises deployments like Docker and OpenStack. Specifically, it automates the setup and provisioning of networks, subnets, firewalls and firewall rules, virtual machines, and drives required to run a large variety of benchmarks, as well as running the benchmarks themselves and tearing down the infrastructure afterwards. Along with installing and running the actual benchmark tests, PerfKit Benchmarker packages the test results in an easy-to-consume JSON format and offers hooks into backend storage providers like Google BigQuery, Elasticsearch, and InfluxDB to automate publishing results, making reporting and analytics a breeze.When performing network tests, the critical metrics you need to understand include throughput, latency, jitter, and packets per second. To find the values of these metrics across various configurations, you can use PerfKit Benchmarker to draw upon a number of testing tools, including iperf2, iperf3, ping, netperf, nuttcp, nttcp and NTttcp, just to name a few.Once PerfKit Benchmarker has been installed, running a single benchmark is simple: Specify the test you want to run and where you want to run it. As a basic example, here is a ping benchmark between two VMs that are located in zone us-east1-b of Google’s cloud:./pkb.py –benchmarks=ping –zones=us-east1-b –cloud=GCPThis command creates a new Virtual Private Cloud (VPC) and two new VMs in zone us-east1-b of Google Cloud, configures them for a ping test (including setting the appropriate firewall rules), runs the test, and then deletes the VMs and the VPC. Finally, it outputs the results to the console and stores them in a file in the /tmp directory. You can also store results in BigQuery or Elasticsearch when appropriate flags have been set. Measuring Google Cloud inter-region latency with PerfKit BenchmarkerWhen designing your environment, it’s important to understand the latency between components in different Google Cloud regions. As an example, here are the results of our own all-region to all-region round trip latency tests using n1-standard-2 machine types and internal IP addresses. The daily benchmark tests ran over the course of the last month. The statistics were all collected using PerfKit Benchmarker to run ping benchmarks between VMs in each pair of regions.To reproduce this chart, you can run the following command with the following config file. To run a smaller subset of regions, just remove the regions you don’t want included from the zones and extra_zones lists.You can also add the –run_processes=<# of processes> flag to tell it to run multiple benchmarks in parallel. Furthermore, you can add the –gce_network_name=<network name> flag to have each benchmark use a Cloud VPC you have already created so each benchmark doesn’t make its own VPC../pkb.py –benchmarks=ping  –benchmark_config_file=/pat /to/all_region_latency.yamlMore benchmarks using PerfKit BenchmarkerOther examples of network performance benchmark tests you can run using PerfKit Benchmarker include:Inter-region, inter-zone, and intra-zone network performance testsOn-premises to cloud and cross-cloud performance benchmarks between a VM in one cloud, and a VM on-premises or in another cloudPerformance benchmarks using various network tiersBenchmarking across various guest OSes (e.g., Linux vs Windows) and machine types (e.g., general purpose, compute-optimized)For complete details about the methodology for running more of these benchmarks, read the “Measuring cloud network performance with PerfKit Benchmarker” methodology white paper.More good stuff on the wayBy using PerfKit Benchmarker, you can make better decisions about where to put workloads, and improve the experience of your end-users. As time goes on, we’ll continue to add coverage for new performance benchmarking use cases, publish additional guidelines for cloud performance benchmarking, and report on the experiences of cloud adopters. In the meantime, we welcome and encourage new contributions to the PerfKit Benchmarker codebase, and look forward to seeing the community grow!
Quelle: Google Cloud Platform

Google Cloud Helps Retailers Win the Digital Race

As I attend NRF 2020, retail’s biggest annual event today and speak with a number of leading retailers, one thing is clear: digital transformation is more than just a requirement. It’s a race. Retailers that transform the fastest are the most successful. We see this with retail leaders like Kohl’s and Lowe’s, who continue to innovate and reinvent themselves, and also with digital natives like Zulily and Stitch Fix, who have come up with entirely new ways to deliver great customer experiences.Technology is the fulcrum for this transformation, and Google Cloud is working with retailers in three important ways: We’re helping retailers accelerate digital and omnichannel revenue growth;We’re helping them become more customer-centric and data-driven; andWe’re providing solutions that help drive operational improvement. Capturing digital and omnichannel growth—and eliminating interruptions In a recentsurvey, one in 10 retail executives said their company’s website experienced an outage during Black Friday and Cyber Monday last year, and 72 percent said they experienced an outage within the past five years. We all know even a second in lag time can mean the difference between a sale and an abandoned cart, so uptime and speed are critical when shoppers are spending billions of dollars in a single day. That’s why we’re excited to expand our Retail Acceleration Program (RAP) to a broader set of customers in 2020. RAP is a services offering that helps retailers optimize their websites, build a unified view of customer data, and drive increased foot traffic. Today, we’re also expanding the availability of Customer Reliability Engineering, a white-glove service that helps retailers plan and execute flawlessly during their peak shopping seasons. Customers such as Kohl’s, Wayfair, and Shopify have already turned to Google Cloud to help them stay worry-free during Black Friday and Cyber Monday. Capturing omnichannel growth ultimately means creating better online experiences. Google Cloud offers several tools for retailers interested in providing more intuitive product discovery for consumers. We’re currently piloting one of these new tools—Google Cloud Search for Retail—and will bring it to the broader retail market in 2020. Powered by Google Search algorithms and leveraging state-of-the-art cloud AI technologies, Google Cloud Search for Retail provides retailers with high-quality product search results for their websites and mobile applications—giving them the ability to surface the right products, to the right customers, at just the right time.  Retailers today are increasingly centralizing their user data in Google’s BigQuery data analytics platform, and then building personalization and recommendation models on top of this data. Today, we’re announcing Google Cloud 1:1 Engagement for Retail, a blueprint and best-practice guide on how to build these types of data-driven solutions effectively and with less up-front cost. Delivered by Google Cloud and our ecosystem of partners, 1:1 Engagement for Retail helps retailers create hyper-personalization at scale.Helping retailers become more customer-centric and data-driven Google is the first place that shoppers go to discover new brands and products. Hundreds of millions of people shop each day across Google properties including Search, YouTube, Shopping, Google Assistant and Maps. We help retailers expand their reach with Google Ads, as well as empower them to better understand their shoppers with advanced analytics, so that they can optimize their spend across channels.As digital influence on sales continues to increase—and newer fulfillment options such as “buy online, pick up in store” or “ship from store” continue to become popular—there’s even more pressure on retailers’ supply chains. Being accurate with inventory planning and operating a more streamlined supply chain can be the difference between success and failure. Google Cloud’s new Buy Optimization and Demand Forecasting service offering allows retailers to plan inventory and manage their supply chains to deliver the right products to the right channels.One retailer using these solutions is Carrefour, one of the largest grocery retailers in France. Carrefour needed to ensure it had the right products, in front of the right shoppers, at the right store location. With Google Cloud, Carrefour developed an assortment recommendation tool that helped the chain support a more personalized selection at the store level, giving store directors the autonomy to influence inventory needs. The tool also gives Carrefour headquarters visibility into the merchandising decisions by each of their franchise stores. Driving operational improvement by merging online and offlineRetail customers are becoming more and more “channel-less” in their shopping. It’s imperative, then, to provide a consistent experience for customers as they move between channels in their shopping journeys. Our Google Cloud API Management for Retail solution, powered by Apigee, allows retailers to easily integrate the systems that power different sales channels, providing a more unified shopping experience for customers.Retailers struggle with the real estate that bulky computer servers take up in their stock rooms, and also face challenges in centrally managing all of their server applications. Today, we’re piloting Google Cloud Anthos for Retail, which helps retailers streamline and modernize their store operations. Rolling out more broadly in 2020, Anthos for Retail enables retailers to consistently deploy, configure, and manage applications across their fleet of stores at scale—without sacrificing performance or reliability. Speaking of stores, nothing is more critical for retailers than ensuring their frontline workforce is able to collaborate efficiently and effectively. The demographics of frontline retail workers are changing rapidly. Even as a more tech-savvy workforce comes online, many retailers still lag in putting cutting-edge tools in the hands of their employees—and this translates to delivering poor customer experiences. In fact, according to one Google study, more than 50 percent of frontline workers say that technology at their workplace has not changed in the last five years. With G Suite, Chrome Enterprise, and Android, we can help drive this transformation. G Suite enables retailers to improve productivity with easy-to-use tools that foster collaboration across the organization. Chrome Enterprise allows retailers to deploy shared, cloud-native devices that are secure, mobile and allow any employee to sign in and pick up where they left off. And Android devices can power dynamic store associate apps that digitize processes like stock checking and reordering to both collect signals from your store and make information available in real time to your store associates allowing them to proactively service your customers better.One example of this is Lowe’s. Using Android-based mobile devices and Google Cloud technology, the home improvement store, is giving its store associates the ability to view and update pricing and inventory on-the-fly. In fact, the company has recently rolled out 88,000 SMART Mobile devices to allow its associates to efficiently access real-time data without leaving the sales floor or losing engagement with a customer. Staying viable in the retail market today means using technology to solve big problems. Google continues to innovate and provide industry-specific tools that help retailers not just keep up with the competition, but also to win the ever-changing race.Here’s where you can learn more on Google Cloud for retail.
Quelle: Google Cloud Platform