Macy’s Uses Google Cloud to Streamline Retail Operations

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As retailers strive to meet the growing expectations of shoppers, they are turning to Google Cloud to transform their businesses and tackle opportunities in an increasingly challenging industry. From optimizing inventory management to increasing collaboration between employees across locations and roles, to helping build omnichannel experiences for their customers, we are working together with retailers to help make the shopping experience as seamless and personalized as possible.
A standout Google Cloud customer is Macy’s, one of the world’s largest retailers. Founded in 1858, Macy’s operates approximately 680 Macy’s and Bloomingdale’s, and 190 specialty stores including Bloomingdale’s The Outlet, Bluemercury and Macy’s Backstage. And through macys.com, bloomingdales.com, and bluemercury.com, it also serves millions of customers across more than 100 countries.
By moving its infrastructure to the cloud, and taking advantage of Google Cloud data warehousing and analytics solutions, Macy’s is streamlining retail operational functions across its network.
With the opening of its new approximately 675,000 square-foot distribution center in Columbus, Ohio, Macy’s is leveraging the scalability of Google Cloud to ensure that merchandise is accurately and efficiently received, sorted, ticketed, picked, packed and shipped from the distribution center to the stores—even during peak retail seasons like back to school and the holidays.
“Powered by software developed at Macy’s technology, this new distribution center is a fantastic first step in our cloud journey. Working with Google Cloud allows us to be more nimble, efficient and flexible in how we utilize our warehouses,”
Naveen Krishna, CTO, Macy’s
Leveraging Google Cloud’s data management and analytics solutions, Macy’s new warehouse management system will initially service 200+ Macy’s Backstage off-price stores at launch. Macy’s will begin rolling out this software solution to additional distribution centers that service its nationwide fleet of Macy’s and Bloomingdale’s department stores, as well as Macys.com and Bloomingdales.com direct-to-customer orders.
Our continued work with Macy’s reflects their investment in technology to improve digital and mobile experiences, site stability, store technology, fulfillment, and logistics, and integrate its front line and back office to reinvent retail. I look forward to deepening our partnership with Naveen and his team to help them achieve these goals.
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FFF Enterprises See 80% Improvements in Speed at Lower Cost by Moving SAP Data to Google Cloud
FFF Enterprises, a pharmaceutical distributor of lifesaving biopharma products, vaccines and plasma products deployed SAP on Google Cloud to leverage its ability to scale server demands, reduce costs and improve speed and performance. Learn how the migration helps FFF empower healthcare to care!
Google Invests 1 Billion Euros on Germany to Support Growing Businesses

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In September 2001, the first-ever German Google employee switched on their computer in Hamburg. Since then, we’ve grown to more than 2,500 employees in four offices across Germany. Berlin, Frankfurt, Hamburg and Munich have long been our home, and we continue to invest in the growth of the local economy.
Today, 20 years after the start of “Google Germany”, we are pleased to present one of our most important investment programs to date in this country. With the expansion of our Cloud Region in Frankfurt in a new Google-owned Hanau facility, a new Google Cloud region in Berlin-Brandenburg, and a broad investment plan in renewable energy, our commitment is clear: Google is investing in Germany’s potential and supporting the transition to a digital and sustainable economy. Between now (2021) and 2030, this investment in digital infrastructure and clean energy will total approximately 1 billion euros.
Expanding our Frankfurt cloud region to support growing demand from German businesses and organizations
In Hanau, only 20 kilometers from the DE-CIX Internet hub in Frankfurt, Google is proud to be nearing completion of an additional cloud facility that will be fully operational in 2022. This expansion of our existing Frankfurt Google Cloud region will serve the growing demand for Google Cloud services in Germany.
The 4-story building is 10,000 square meters and was sustainably constructed with energy efficient infrastructure and adherence to our circular economy model for waste. The symbolic handover of the keys from developer NDC-Garbe, together with local government officials, took place on site yesterday.
A new cloud region in Berlin-Brandenburg
In addition to the Hanau expansion of our Google Cloud region in Frankfurt, we are pleased to announce that a new Google Cloud region will be located in Berlin-Brandenburg, further extending our ability to meet growing demand for cloud services in the country. When open, this will be our second Google Cloud region in Germany, providing enterprise customers with faster access to secure infrastructure, smart analytics tools and an open platform. Designed and dedicated to providing enterprise services and products for Google Cloud customers of all sizes and industries in Germany, the Berlin-Brandenburg region will have three zones to protect against service disruptions and join the existing network of 27 Google Cloud regions connected via our high-performance network.
One of the cleanest clouds in the industry becomes even cleaner
Since 2017, Google has matched 100% of our global, annual electricity use with renewable energy. Last year, we set out to run our business on carbon-free energy everywhere and at all times by 2030, enabling us to offer cloud customers one of the cleanest clouds in the industry, while helping Europe achieve its ambitious climate goals.
Today, we’re excited to announce that ENGIE Deutschland has been selected as Google’s carbon-free energy supplier in Germany. Under the terms of the agreement, ENGIE will assemble and develop, on Google’s behalf, a 140 megawatt (MW) carbon-free energy portfolio in Germany that has the ability to flex and grow with us as our needs change. This includes a new 39MW solar Photovoltaic system, and 22 wind parks in five federal states that will see their lives extended so they continue to produce electricity instead of being dismantled. This portfolio will ensure that the energy delivered to Google’s German facilities will be nearly 80% carbon-free by 2022 when measured on an hourly basis. This is a first but important step on Google’s journey to reach our goal of full electricity decarbonization by 2030.
This is the first energy supply of its kind in Europe, with a focus on sourcing carbon-free energy for every hour of Google’s operations. Not only will this new agreement draw the roadmap for the industry and more 24/7 carbon-free energy contracts in Europe, but it provides our cloud customers with two more regions where they can lower their carbon footprint. And importantly, by working with our energy suppliers to transform how clean energy is delivered to customers, Google is supporting the broader decarbonization of the German electricity grid.

What customers and partners are saying
As companies continue to grapple with changing customer demands, technology has played a critical role, and we’ve been fortunate to partner with and serve people, companies, and government institutions in Germany and around the world to help them adapt. The Google Cloud region in Berlin-Brandenburg and the expansion of our Google Cloud region in Hanau will help our customers — such as BMG, Delivery Hero, and Deutsche Bank — adapt to new requirements, new opportunities and new ways of working.
“We are very pleased about the symbolic handover of the keys to the building here in Hanau to Google Cloud,” said Hanau Mayor Claus Kaminsky. “With Google, we have a strong partner at our side who is supporting us in setting up Hanau’s economic future, both digitally and sustainably. The data center facility of Google Cloud embodies this transformation: We bring the cloud to us in Hanau and thus support the digital transformation of companies and public authorities. Not only in our city and Hesse, but throughout Germany and Europe. The new building meets high sustainability standards and the clean energy initiative presented today by Google is in line with our aspirations for sustainable digitalization.”
“Sustainability is a central pillar of Deutsche Bank’s strategy and we have made strong public commitments to be part of the solution,” said Bernd Leukert, Chief Technology, Data and Innovation Officer and Member of the Management Board at Deutsche Bank. “We welcome the new Google Cloud region in Germany, which will enable us to deliver additional resilience and performance for our German client base.”
Ralf Bernhard, Senior Originator Renewables, ENGIE, said: “ENGIE is excited to collaborate with Google based on a first-of-a-kind agreement which will support the company with its sustainability goals and ambitious carbon-free energy target. Thanks to our expertise in energy and risk management, we can seamlessly integrate renewable energy from existing plants and develop new assets to design a tailor made product that meets Google’s needs and plans to go even greener.”
20 years since Google first touched down in Germany, our commitment to helping Germany continue to lead in technical innovation is stronger than ever. We are excited to continue working with our partners in Hesse, Berlin and Brandenburg and across Germany to advance infrastructure and clean energy projects, help accelerate digital transformation, and secure a sustainable future for German and European companies and organizations.
Neo4J & Google Cloud: Graph Data in Cloud to Address Challenges in FinServ Industry

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Over the last decade, financial service organizations have been adopting a cloud-first mindset. According to InformationWeek, lower costs and enhanced scalability were the biggest drivers for cloud adoption in financial services, and cloud-native applications allow access to the latest technology and talent, enabling adopters to rebuild transaction processing systems capable of supporting very high volumes and low latency.
Both Neo4j and Google Cloud have been using relationship-based data representations since the beginning, and we’re dedicated to using this technology to help financial services customers drive business transformation. We are excited about the prospects of financial services (FinServ) cloud systems and believe that graph data in the cloud can help solve significant challenges in the industry.
Data Challenge #1: Risk Management and Compliance
First among the top concerns for any CIO moving to the cloud is risk management and compliance. Disconnected, uncontextualized, or stale data create opportunities for fraud and financial crimes to occur. The fact is when it comes to FinServ, the question is not “if” but rather how often an attack will occur. Unfortunately, incidents have been trending upward over the last decade, and COVID has only exacerbated this reality. Financial crimes affect the bottom line both in the remediation of these crimes and in intangibles like brand value.
Add to this the complexity of international banking, which makes “compliance” a moving target. Penalties due to noncompliance are a constant concern to any FinServ organization.
The tabular representation of information with a fixed number of columns that never change prevents a description of an ever changing world with changing characteristics. Relational databases are great if the world you describe does not move fast but have limitations when data structures are highly interlinked and not homogeneous.
Neo4j Aura on Google Cloud provides a foundation for creating dynamic, futureproof, scalable applications that adhere to the security standards and protocols today’s financial services organizations require to meet the challenges of finding and preventing bad actors. This also includes enterprise scalability; reaching over 1 Billion nodes and relationships to streamline queries and provide solutions that meet regulatory and privacy compliance across geographies. Neo4j has helped some organizations save billions of USD in fraud in the first year of deployment alone.
What makes graph technology the best choice for fraud detection use cases is that the relationships between the data-points are as important as the data-points themselves. Let’s take as an example, one John Smith approaches a multi-national banking institution to manage the primary account for his new holding corporation.
While no one has any record of John R Smith Holdings LLC, the bank’s application built on graph technology understands that there are several well-known entities owned by John Smith Holdings. The application also identifies several well-known board members who bank with this institution. Due to this relationship-driven approach, the bank now understands John R Smith is not “John Smith,” who previously attempted to open an account for his holding corporation, which had no information associated with it prior to two months ago.
Data Challenge #2 Manual Processes and Inefficiencies
The ubiquity of the cloud offers an opportunity to deploy automation at unprecedented levels to tackle the errors and inefficiencies that manual processing allows to creep into processes. When data comes from disparate, perhaps legacy systems – which may have become siloed and “untouchable” over the years – further complexity arises. As an example, if someone in sales types “John Smith” into a CRM system not knowing that John R Smith is the spelling in the customer data master, it may result in two separate and potentially conflicting records. Being able to join those records together in a mastered view helps to solve this problem. In addition, low data quality equates to an increase in risk, costs, and implementation times for new systems.
Neo4j Aura on Google Cloud provides automation and artificial intelligence (AI) that reduces manual processes and the errors that accompany them. In this graph architecture each node, which can represent a person, will have labels, relationships, and properties associated with it. This allows for the use of AI which can easily understand that John Smith in the CRM is the same John R Smith in the customer master. The information contained in Neo4j can be connected bi-directionally to ensure consistency across applications and data sources.
One of the benefits of this approach is that linking information allows organizations to keep the full value of the data, rather than forcing the data into predetermined tabular representations, with the risk of losing valuable information and insights.
Data Challenge #3: Customer Engagement and Insight
Another significant concern is the high expectations today’s customers have for every interaction. End users are accustomed to predictable experiences on their digital devices, and FinServ apps are no exception. Added to this, the “Covid economy” has driven digital adoption significantly across demographics; even among customers who might traditionally have used in-person services. This also equates to increased expectations for personalized, predictable experiences with every digital interaction. We know that latency has always been a key consideration for financial trading, but a recent ComputerWeekly study showed that every financial organization should ensure their visible latency is at 10 milliseconds or less. Customers no longer accept their broadband is at fault.
Finally, blind spots in the customer journey often result in dissatisfaction, which ultimately leads to increased churn. Without gaining actionable insights from your customers, there is no room to innovate and iterate on what they are looking for in your products and services. And this translates to losing market share and competitive advantage.
The NoSQL architecture, specifically the dynamic schema and structure of Neo4j Aura gives you the ability to take charge of your data and make changes according to your development cycles or newer data models. This equates to faster builds, more comprehensive releases and a wider, richer data-set that can be contextualized and understood instantly. Graph technology is the logical choice for building a Customer 360 application. Under this approach organizations not only get valuable insight into the individual client’s behavior and patterns, but also those of their family, friends and colleagues. This allows for stronger personalization, targeted campaigns and successful execution, resulting in increased customer satisfaction and retention levels.
Graph Technology on Google Cloud

Neo4j is a recognized leader in graph database technology and the only fully integrated graph solution on Google Cloud, helping to fill a common need for Google Cloud customers. Both Neo4j and Google Cloud are invested in continuing to grow our partnership and mutual product direction.
You can find and deploy the Neo4j graph database straight from the Google Cloud marketplace, whether you want to download the software for an on-premises deployment, use the virtual machine image, or use the hosted solution, Aura on Google Cloud, the graph database-as-a-service. In any deployment, you get the same enterprise-grade scalability, reliability, and connectivity along with successful, repeatable use cases you can rely on to resolve your particular challenges and integrated billing.
For a real-world example of how graph technology can optimize financial services, you can read our Case Study with fintech Current. Current, a leading U.S. financial technology platform with over three million members, used Neo4j Aura on Google Cloud to create a personalization engine based on client relationships.
To learn more about Neo4j Aura on Google Cloud for FinServ organizations, register for our webinar on Thursday, December 16 with Jim Webber, Chief Scientist, CTO Field Ops at Neo4j and Antoine Larmanjat, Technical Director, Office of the CTO, Google Cloud.
TELUS and Google Cloud Partner to Move Towards a More Sustainable Future

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Environmental sustainability is a key priority for TELUS, a world-leading communications technology company. It continues to rank in the top 100 most sustainably managed companies in the world, and seeks to make a healthier planet for all by leveraging its global-leading technology, compassion to drive social change and reduce our collective carbon footprint through innovative technologies and sustainable business practices.
TELUS surpassed its sustainability objectives in 2019 and is now on a journey to procure all of its electricity from renewable or low-emitting sources by 2025. Next, it aims to achieve net carbon neutrality for its operations by 2030. TELUS has also been named to the Dow Jones Sustainability Index for 21 consecutive years, a feat unmatched by any other North American telecom or cable company. In 2021, it became the first company in Canada to release a Sustainability-linked bond (SLB) framework and complete an SLB offering, formally linking TELUS financing to its environmental performance.
“We’ve spent the last decade becoming a global leader in sustainability, helping make the planet healthier by ensuring that our operations are as environmentally responsible as possible,” said Geoff Pegg, Head of Sustainability and Environment at TELUS.
In part, TELUS’ strategy is focused on three key areas:
- Seek the best renewable energy options available
- Focus on migrating workloads to the cloud
- Embrace a multiplier effect through the use of sustainable partners
Renewable energy impact
Part of this environmental responsibility involves investing heavily in renewable energy sources through power purchase agreements (PPAs) that help renewable energy providers like wind farms and solar companies develop their infrastructure. TELUS executed PPAs with four Alberta-based solar and wind facilities to provide 100 per cent of its electricity load demand in a province where one-third of the grid is powered by coal.
As a technology company, electricity represents a large portion of TELUS’ energy needs: 80 percent of the operational carbon footprint comes from the power requirements for TELUS’ network and administrative buildings, Pegg explains. While TELUS is using renewable energy sources and low-emitting energy grids to power its buildings and network, there’s also the often-forgotten part of the carbon emissions equation: the energy it takes to power data centers. As the International Energy Agency recently reported, data centers represent 1 percent of the global electricity demand and that figure is expected to keep rising as the world increases usage of data-heavy technologies.
“It’s probably no surprise that everyone, whether you’re a business or a consumer, is concerned about reducing carbon emissions,” said Chris Talbott, the Google Cloud Sustainability Lead. “A lot of us think about the carbon emissions associated with our cars or with the electricity that powers our homes, but oftentimes we forget about the carbon emissions that come from the digital services that we use or the networks required to deliver that data.”
As a leader in sustainability, how can TELUS meet the energy demands of its customers while also protecting the environment? One way is through the company’s previously announced collaboration with Google Cloud. The two companies are working together to build a more sustainable world through technology and reduce TELUS’ carbon footprint, create value along the entire supply chain, and optimize industry solutions for social impact through data analytics and machine learning.
Taking a cloud first approach — reducing carbon emissions with green cloud computing
Google became carbon neutral in 2007 and has achieved 100 per cent renewable energy matching every year since 2017. Google has invested in renewable energy to match the electricity we use across our entire operations, including Google Cloud, meaning every workload that TELUS runs on Google Cloud has been matched with renewable energy purchases.
“The operational carbon footprint of running anything on Google Cloud is zero,” Talbott said. Also, by working with Google, TELUS gets the benefit of economies of scale using less electricity. Not only is TELUS leveraging Google data centers, it’s also relying on the digital collaboration made possible by Google Workspace to reduce the amount of travel required by employees attending meetings in different offices. Collaboration tools like Google Meet can reduce the carbon footprint of in-person conferences by 94 percent.
Google compensates for the environmental footprint of any electricity used in the data center and out to the edge network. “You can feel pretty good about using Google Meet because it’s carbon-neutral,” Talbott said.
Multiplier through sustainable partnerships — green cloud computing radiates out
By supporting TELUS in its environmental sustainability efforts, Google Cloud is also enabling TELUS to do the same for its various partnerships. For example, powered by Google Cloud’s infrastructure and data analytics capabilities, TELUS is partnering with Picacity (formerly NXN Digital) and Google Cloud to deliver an ecosystem of integrated smart technologies that enable cities to improve the lives of their residents.
From dynamic traffic signaling that reduces congestion and emissions, to data analytics that create smarter, more efficient city planning, the partnership is transforming the way municipalities operate in our increasingly digital world.The partnership is built on four foundational pillars of infrastructure and environmental sustainability, intelligent transportation, public safety and security, and health. In the case of intelligent transportation, this means sensors, cameras, and other devices are built into or near roads, sidewalks, and bike paths to provide data for innovative software to improve traffic flow in real time. The data can then foster informed decisions about infrastructure, city planning, fleet optimization, and public safety.
All of these environmental measures may seem small when compared with the enormity of the problem that is climate change, but as Talbott said, “Change begins with the small decisions we make every day such as paying attention to the practices of companies that we’ve come to rely on daily in the modern world. They may seem small and in the margins, but at scale, this is how we can make a real impact.”
Marxent Leverages Google Cloud to Elevate Customer Journeys on Retail Apps with 3D Shopping Experiences

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As ecommerce for home goods exploded in popularity during COVID, furniture and DIY retailers looked to find new ways to grow online transaction sizes to in-store levels. Shopping for furniture and home improvement projects has always been challenging online. Furniture, kitchen cabinets, fixtures, and appliances become a part of daily life, are challenging to return, and have a low purchase frequency. Once a shopper makes a decision, they tend to live with it for many years. These are visual, tactile, decisions that require measurements, style choices, budgeting, an understanding of available products, and an involved consideration processes. During the pandemic, retailers turned to 3D to enhance these virtual shopping experiences.
Inspiration and visualization cultivate confidence
Our 3D Room Commerce company, Marxent offers 3D visualization and configuration solutions that help retailers sell complex, configurable products online through consumer-facing 3D design and visualization apps. The Marxent 3D Room Planner with HD Renders helps shoppers to visualize how furniture or kitchen cabinet configurations will look in the specific floorplan of their home. Founded in 2011, Marxent envisions a world where buying a dining table or remodeling an entire kitchen is as easy as buying a car from Carvana or ordering dinner through Bite Squad. Our 3D apps create a streamlined inspiration to transaction to advocacy model that cultivates shopper confidence and allows retailers to sell the whole room, not just individual items.
Using Google Cloud as a foundation, we help some of the largest retail and home goods companies in the world provide exceptional customer journeys. We trust Google Cloud because our clients trust us to make it faster and easier for shoppers to buy semi-custom, configurable projects.
Embracing the power of 3D to super-charge ecommerce
It’s inarguable: e-commerce is on the rise. More people than ever before are shopping online for furniture, kitchen cabinets, decking, and other large-scale configurable products.
Customers who design with a retailer, usually buy from them. When shoppers visit stores and showrooms, they find inspiration in merchandised scenes that illustrate how products like sofas, chairs, rugs and lamps work together to accomplish a look. Skilled sales people make suggestions and offer advice on how to put pieces together. They may even work up a quick floor plan to show how multiple items work together in a room. In store, the inspiration phase is intimately tied to consideration and, ultimately, to driving transactions.
By contrast, online shoppers typically start home projects by seeking inspiration and ideas from Pinterest, Instagram and unbranded online image searches. Once they have formed their style preferences, shoppers keep searching to compare products across multiple retailers, plan their project, and put together a final budget.
To own the whole project sale, retailers need to own the entire inspiration to transaction to advocacy journey. With both online and in-store applications, Retailers leverage Marxent’s 3D Room Planner app to build shopper confidence, capture the whole room sale and win the customer over.
https://youtube.com/watch?v=_svOdVvX5LA%3Fenablejsapi%3D1%26
PRE-RENDERED MID-POLY 3D SCENE

POST-RENDERED MID-POLY 3D SCENE – This is a slightly different angle of the same room that has been rendered into a “Raw Render” (rendered in under 2 minutes).

Through Marxent’s 3D Room Commerce solution, users experience a cyclical inspiration to transaction to advocacy journey. It starts with shoppers viewing inspirational images and media online. Using Marxent’s applications, they can design directly from inspirational images to create a custom, configured space without any product catalog knowledge. Shoppers can visualize the products they love together and in the context of their own floor plan instead of navigating product pages and wondering if items will work together.
Then, they can add the whole room to a shopping cart with a single click. While this virtual experience does lead to a transaction, it also allows users to save, collaborate on, and share the spaces they’ve created. They become advocates by sharing their projects on social media, starting the inspirational content cycle again.
Putting an end to manual operations
To deliver renders at scale, Marxent needed to update their cloud render solution. Initially, our 3D Art team operated a manual on-premise render fleet. However, this required many hours of manual setup, configuration, and operation. We also had to manage expensive graphics servers—bare metal, CPUs, GPUs, RAM, HDD, and more. The only solution was to automate the 3D rendering process and empower end-users to rapidly create their own 3D room renders.
When we were evaluating new solutions, we saw distinct advantages in the Google Cloud Platform that would help them safely and securely scale their business, while strengthening their partnerships with end customers. For example, in moving to Google Cloud, we could automate and scale our rendering process without having to manage fleets of physical servers. We also viewed the platform as an asset due to Google’s secure-by-design infrastructure, agility, data analytics capabilities, and potential for joining the Marketplace.
Creating magical customer experiences that inspire purchase
To provide our customers and shoppers with contextual experiences, Marxent’s applications use mid-poly 3D models that balance speed and realism. These models provide a latency-free, real-time design experience that can be rendered into scenes that are realistic enough to be perceived as photos on social media.
The complex process of rendering these images requires a combination of efficiency, speed, analytics, and consistent performance that Google Cloud provides. When configured with powerful and speedy gaming GPUs, Marxent can provide fast rendering that meets customers and shopper demands. Here’s a look at our HD Renders application.

Before a user can request an HD Render, they must create a room in the Marxent 3D Room Planner. Once requested, Marxent pulls the saved project from the database and kicks off the process with Cloud Pub/Sub. The project loads into a gaming GPU, using the same platform code running when the user first creates the room in the application. It boots up the app in the cloud to load the room.
The code then scours the space and prepares it for rendering, adjusting texture formats, and adding in lighting. After going through the render engine, the project automatically uploads to Cloud Storage. Finally, the user receives a link to the final product. Throughout, Cloud Pub/Sub handles messages ensuring the right event processes are happening, such as rendering success or failure.
Using this process, it’s possible to create dozens of images out of a single scene, trading products in and out of a floor plan by leveraging a complete catalog of content geometries and covers, textures, and finishes.
Utilizing Google Cloud throughout the buying journey
Today, Marxent’s applications power world-class retailers with AR, VR, and 3D commerce experiences. We use cutting-edge graphics hardware to create renderings in less than 2 minutes per screenshot, often much faster. We’re also saving money as we no longer have to manage expensive servers or purchase expensive hardware upfront. Our clients are happier because we have passed on the cost savings to them while now having limitless scaling capabilities to meet demand.
By partnering with Google Cloud, Marxent can confidently offer our customers secure applications built on infrastructure with advanced security tools that support compliance and data confidentiality. Backed by a globally consistent platform, we can also help brands build reliable purchasing experiences across customer touchpoints—without fear of downtime during peak sales periods. This strategic partnership has allowed us to provide a best-in-breed, customer-first experience that our customers demand while providing the reliability that our partners expect.
With customers demanding seamless shopping experiences, Marxent’s 3D technologies open doors to new, easier, more convenient, and more satisfying shopping experiences that empower consumers to buy the right products the first time.
If you want to learn more about how Google Cloud can help your startup, visit our Startup Program application page here and sign up for our monthly startup newsletter to get a peek at our community activities, digital events, special offers, and more.
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