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.
Google Announces New Cloud Region in Israel to Meet Growing Customer Demands

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Google has long looked to Israel for globally impactful technologies including popular Search features, Waze, Live Caption, Duplex and flood forecasting. At our Decode with Google 15RAEL event last week, we celebrated 15 years of Google innovation in Israel and our longstanding support of the country’s vibrant startup ecosystem.
Over the years, we’ve expanded our enterprise investments in the country, too. In addition to our over a decade long investment in the space, Google has acquired Israeli-based companies like Alooma, Elastifile and Velostrata, and Uri Frank joined Google Cloud last month to lead our server chip design team from our offices in Tel Aviv and Haifa.
As we continue to meet growing demand for cloud services in Israel, we’re excited to announce that a new Google Cloud region is coming to Israel to make it easier for customers to serve their own users faster, more reliably and securely.
Our global network of Google Cloud regions are the foundation of the cloud infrastructure we’re building to support our customers. With cloud’s 25 regions and 76 zones around the world, we deliver high-performance, low-latency services and products for Google Cloud’s enterprise and public sector customers. With each new Google Cloud region, customers get access to secure infrastructure, smarter analytics tools, an open platform and the cleanest cloud in the industry.
Having a region in Israel will help accelerate innovation for customers of all sizes, including PayBox, a digital wallet application owned by Discount Bank, one of Israel’s largest banks. “When we acquired PayBox, our goal was to improve the security and the user experience for its products, but we also wanted to keep the startup’s agility and innovation. Google Cloud has enabled us to do just that,” said Sarit Beck-Barkai, Managing Director of PayBox at Discount Bank.
“We are very excited that leading vendors like Google are investing and launching a local cloud region in Israel. This will make a significant change in the technology landscape of the public-sector, enterprise and SMB markets in Israel. Matrix is proud to be a major part of the transition to the cloud,” said Moti Gutman, CEO at Matrix, technology services company and Google Cloud partner.
“In the last year, Panorays more than tripled its customer base and scaled its infrastructure, practically at the click of a button. Google Cloud made it easy for us to scale without worrying about DevOps, which meant that our engineers could focus on developing new and better features for our customers. The new region launching in Israel will allow us to serve our local customer base even better, as we’ll be able to experience higher availability and deploy resources in specific regions, thus reducing latency.” said Demi Ben-Ari, Co-founder and CTO, Panorays, a third-party security platform and Google Cloud customer.
“This new cloud region will provide even better access and growth potential for our mutual customers with tech hubs in the region. We are serving hyper growth companies who need Google Cloud’s services and will benefit greatly from this regional presence,” said Yoav Toussia-Cohen, CEO of DoiT International.
When it launches, the Israel region will deliver a comprehensive portfolio of Google Cloud products to private and public sector organizations locally. We look forward to welcoming you to the Israel region, and we’re excited to support your growing business on our platform.
Learn more about our global cloud infrastructure, including new and upcoming regions, here.
Groupe Dauphinoise Grows it Customer Base with G Suite and Google Cloud Platform

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As a leading French agricultural cooperative, Groupe Dauphinoise places collaboration at the heart of its philosophy. Working with farmers in the Rhone-Alpes region, Groupe Dauphinoise takes on a diverse range of activities from agricultural production to research and development to running retail outlets.
As its operations expanded and strained its existing infrastructure, Groupe Dauphinoise saw the opportunity to upgrade its technology solutions and adopted G Suite, Chrome devices and ultimately Google Cloud Platform (GCP).
“We transitioned to G Suite to improve our staff’s collaboration. We quickly realized that as the company grew, we needed a new infrastructure. Based on our satisfaction with G Suite, we chose GCP. With Google, ‘any device, anytime, anywhere’ is not just a dream,” says Sylvain Claudel, Head of IT at Groupe Dauphinoise.
“We transitioned to G Suite to improve our staff’s collaboration. We quickly realized that as the company grew, we needed a new infrastructure. Based on our satisfaction with G Suite, we chose GCP. With Google, ‘any device, anytime, anywhere’ is not just a dream.”
—Sylvain Claudel, Head of IT, Groupe Dauphinoise
Flexible workforce, stable infrastructure
Many of Groupe Dauphinoise’s 1,500 employees spend their days out of the office. Five years ago, with the help of Google partner GoWizYou, the company transitioned to G Suite to improve the flexibility and collaboration of its staff.
As Groupe Dauphinoise began to expand and collect more data, the company reached the limits of its on-premise infrastructure. Adding new storage was not a simple matter. Acquiring, configuring and synchronising new servers costs Groupe Dauphinoise time as well as money. In addition, with all its servers stored in a single room, security was a concern. Groupe Dauphinoise needed a new infrastructure.
Google Cloud Platform was the only solution in mind after Groupe Dauphinoise’s experience with G Suite and Chromebooks. Disruption was kept to a minimum thanks to Google’s licensing agreements with Microsoft products, allowing the company to migrate without affecting its operations.
After migrating its infrastructure to Compute Engine, Groupe Dauphinoise can let Google look after the security and maintenance. Cloud IAM makes it easy for Groupe Dauphinoise to hand out permissions to sensitive resources across a number of sites with maximum security and minimum fuss. The company placed its archives in Cloud Storage, while Cloud SQL allows it to continue to make use of its MySQL databases without disrupting the day to day business. Meanwhile, BigQuery provides Groupe Dauphinoise with the raw power to analyse large datasets quickly.
“Our company is growing and we have more and more data to collect and analyze like sales data, weather patterns or production numbers. With GCP, we have more than a single on-premise data store, so our disaster recovery plan is much more flexible. Compute Engine allows us to add more storage quickly and easily, without having to spend days synchronizing data and installing new servers. We have improved security and maintained the stability of our infrastructure while keeping costs down,” says Sylvain.
Safeguarding the present, looking to the future
With Google Cloud Platform, Groupe Dauphinoise has expanded and secured its infrastructure without sinking costs into on-premise servers or DevOps staff. Its investment in Chrome devices and adoption of G Suite mean that its mobile workforce can fully reap the benefits of a cloud-based infrastructure while dramatically cutting the cost of hardware. Meanwhile, working with a 200 million line table of sales data in Google BigQuery, the cooperative found that queries ran ten times faster than with its previous database provider. Groupe Dauphinoise is experimenting with Google BigQuery to expand its BI capabilities. Products like Google BigQuery help Groupe Dauphinoise grow its business, safe in the knowledge that its infrastructure is stable and secure.
“The amount of data we collect is growing very quickly. We need to break our rules and evolve from the mindset that we had with on-premise infrastructure and our old databases. We can now look at collecting more customer fidelity data, or big data for our farmers. With our data and infrastructure in Google’s care, we can concentrate on growing our customer base instead of our IT department!” says Sylvain.
Simplifying Payments for SMBs: Helcim’s Transformational Approach

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Small and medium-sized businesses and enterprises are the backbone of the US economy generating more than 44% of GDP1. Yet these organizations are still underserved when it comes to online financial tools—and dealing with payments is no exception. Complaints include hidden fees, limited capabilities, long-term lease agreements, and poor customer service.
These are the issues that we wanted to solve when we launched Helcim in 2020 in Calgary (Alberta, Canada). We provide a payment service that offers low rates through our interchange plus pricing model, no monthly fee for the core payments offering, and numerous payment options, as well as simple, affordable hardware such as card readers.
Our digital-first approach makes it easy for owners of small and medium-sized businesses to get started. Online sign-up means no paperwork and near instant access to Helcim’s software and all-in-one platform experience. Merchants can choose from a range of payment solutions from the Helcim app including in-person payments, SMS payment requests, online invoices with pay now buttons, and more.
To achieve our goals, we built most of the business systems and processes in-house including our technology stack, financial partnerships, marketing, and everything in between. This is something that few startups would dare to do, but it enabled us to build a payments platform offering the rich capabilities and performance SMBs really need.
Taking control with the cloud
Before migrating our infrastructure to Google Cloud, it was hosted at two colocation data centers in Calgary. This model served us well, but as we grew, most of our hardware needed to be replaced to maintain service security and performance.
A successful round of Series A funding also impacted our trajectory. Giving us the fuel we needed to scale and innovate faster. When we considered the choice between making a large capital investment in our existing environment, or to transition to the cloud, the decision was clear: The cloud was the way to go.
We looked at other big names in cloud hosting and tested another platform. But Google Cloud is by far the best environment for us. It’s much easier for a lean technology team to manage, as we embark on our first cloud strategy. It also offers all the tools and advanced machine learning capabilities we need.
Google Cloud also comes with the backing of Alphabet, a business that in the past five years has spent more on research and development than any other organization in the S&P 5002. The ability to engage the Google Workspace account team for guidance to improve our everyday processes was another bonus.
A variety of investment and training programs from Google Cloud also influenced our decision. We participated in Google for Startups Accelerator Canada which gave us access to Google Cloud experts across all our technology domains. This helped accelerate our infrastructure migration while ensuring we optimized every service from day one. We were also eligible for $100,000 USD of Google Cloud credits, covering our Google Cloud costs which helped us get everything up and running cost-effectively. The partnership with the wider Google team has been extremely impactful as we stand everything up for our business.
But ultimately, it’s the sheer depth and breadth of the Google Cloud environment that makes the difference. Here are the Google Cloud tools we currently have at Helcim.
We chose BigQuery because it is easy to aggregate new data and apply the right access controls. It also delivers outstanding performance running our analytics workloads.
Vertex AI makes the deployment of new models exponentially faster, and with Google Cloud, we can do most of the work through containers instead of proprietary tooling.
GKE has enabled us to migrate to a fully managed cloud service and avoid a lift-and-shift exercise that would have prevented us from getting the full benefits of a containerized infrastructure. Running a new GKE environment also enabled us to significantly reduce platform latency by 20%-50%. We can now deploy projects in hours instead of days.
We updated our centralized file system to use Cloud Storage, which is faster and more scalable.
All of our software today is built on top of MySQL, so CloudSQL was the natural choice for cloud database management.
Cloud Run is more flexible than other serverless tools and was an easy way to reduce the burden of managing some of our services.
Boosting performance across the business
By migrating to Google Cloud, we transformed our application performance. We were able to decouple the infrastructure between systems and use modern server hardware for our compute and database instances. With very little change to our code, we saw a 50%+ increase in the speed of our entire platform.
Giving developers more control of the technology running their systems via containers means that they can enhance systems through more frequent language updates and by deploying new technologies to optimize workloads.
We can more closely monitor our systems to diagnose issues and fix their root cause faster. Being able to quickly add resources gives us further options if we experience platform latency or increased traffic.

Maintaining momentum with machine learning
Leveraging Vertex AI has significantly reduced the time it takes the team to build and deploy new machine learning models. Greater agility in our data stack has also freed up time for exploratory work in the data team. For instance, by creating low fidelity proxy data for human behavior in the application process, we created a new model that will reduce the number of manually reviewed batches by more than 10%.
We’ve also been able to improve our deployment process and the time to rollback. As a result, breaking changes in production have been reduced from more than five minutes to less than 30 seconds.
Thanks to BigQuery, we can make better use of data to support key business decisions. Previously it was hard to aggregate data from different sources and while maintaining our strict requirements for customer data confidentiality. We also needed specialist SQL knowledge to consume it. By investing in a more modern data stack, the availability of trusted data across the organization has increased exponentially.
We’ve also overcome the constraints imposed by static hardware environments especially when maintaining a high-availability configuration between two locations. With Google Cloud, we’re no longer constrained by such a rigid arrangement and the deployment velocity of new infrastructure tooling has been reduced from months to days.
Security is another area where Google Cloud excels. From hackers and fraudsters to bots and web attacks, it protects our users, applications, and data, while facilitating compliance with local and regional authorities. We can also integrate more easily with our security partners ensuring that we can empower our team to stay ahead of cyber criminals and other external threats.
Building the payments platform for the future, today
When we look to the future, Google Cloud opens the door to dozens of opportunities to widen our appeal to SMBs while remaining competitive. Its advanced infrastructure for cloud computing, data analytics and ML supports our roadmap to profitability and will help us attract future rounds of funding.
Above all it provides a foundation for growth. We grew 400% in 2021 and raised more capital in the spring of 2022 to grow even faster. In 2022 we were also listed as one of the top payments processors by industry publications such as Nerdwallet and Merchant Maverick. With Google Cloud, we can build on this success, continue to innovate, and help our SMB customers take their payments and e-commerce strategies to the next level.
If you want to learn more about how Google Cloud can help your startup, visit our page here to get more information about our program, and sign up for our communications to get a look at our community activities, digital events, special offers, and more.
To learn more about Google for Startups Accelerators and to apply to a program in your region, visit the website here.
1. Small Businesses Generate 44 Percent Of U.S. Economic Activity
2. Alphabet: Big Value In Big Tech
Takeaways from the Google Cloud Public Sector Summit on Prioritizing Tech Investments

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Editor’s note: Today’s post highlights five takeaways from our session at the first ever Google Cloud Public Sector Summit. To watch the full session, check out All the Right Moves: Prioritizing Investments in Technology.
Now more than ever, government agencies need to invest in digital services to fulfill their missions and better serve communities. Yet modernization isn’t a one-and-done approach; it’s a sustained effort, with multi-year implications, and requires careful consideration of how to integrate existing investments to optimize costs. Digital transformation requires coordination between different programs and agencies, including all of their many competing considerations. In short, maximizing technology investments requires careful planning, strategic thinking, and industry partners that can provide flexibility and security and meet agencies where they are.
I sat down with Suzette Kent, former U.S. federal chief information officer, and Dominic Sale, assistant commissioner for Technology Transformation Services at the General Services Administration (GSA) for a conversation to unpack this important topic and discuss industry best practices.
The panelists had five tips for government employees who are making technology purchasing decisions for their agency.
1. Put the agency’s mission first.Avoid getting distracted by exciting new trends and focus on long-term goals that can impact which procurement strategies or funds could be used. The discussion started with how government agencies could cut through the noise about technology and prioritize which technology is best for their needs. Sale and Kent agreed that an agency should focus on its core mission outcomes and let its technology needs flow from that. Sale also emphasized the importance of having technology design respond to humans’ needs, which has historically been a challenge for government agencies.
For agencies to stay focused on their mission, final decisions about technology need to be made by the program manager who best understands each program’s mission. The government CIO’s role is to be the enabler for the technology and leverage it at the enterprise level, particularly when it comes to sharing infrastructure. The takeaway: enable mission programs by empowering your teams and providing access to authorized, compliant, innovative data platforms that programs can move confidently and quickly with.
2. Invest in interoperability. Agency employees often struggle to balance the need for a positive return on investment (ROI) with requirements for meeting mission objectives. While the panelists agreed that the total cost of ownership was important, they also emphasized taking an expanded view of ROI, including future-proofing and investing in functionality that may not realize its return for many years based on the initiative. Saving money isn’t particularly valuable if the solution doesn’t meet an agency’s needs. When choosing a technology partner, government employees should understand its long-term vision to ensure that the partner fits agency priorities. Partners’ technologies should also integrate seamlessly with existing systems so agencies don’t duplicate investment costs.
For example, Google Anthos extends Google Cloud services and engineering practices into an organization’s existing environment, establishing operational consistency across apps and modernization. With Anthos, agencies can simply and securely build and deploy applications anywhere, integrating cloud services across platforms. This allows them to enjoy a consistent DevOps experience for hybrid and multi-cloud environments and enables new innovation. Most importantly, this enables an enterprise data platform, one of the largest catalysts for mission transformation and applied AI.
3. Take advantage of artificial intelligence (AI) benefits. Over the course of the pandemic, the rapid application of AI has improved government productivity, efficiency, and the ability to deliver critical new services to the public at scale. This has further cemented AI’s role as an essential government technology for the present and future. In fact, Nextgov reports that “46% of government IT specialists plan to use AI and machine learning (ML) for embedded systems in the near future.”
As we’ve seen over the course of the pandemic, government programs can start small with AI pilots before moving into broad deployment. This can help agencies understand AI’s potential before moving to full production. People always supervise AI technologies, and the possibilities are endless. Google Cloud’s Contact Center AI (CCAI) has helped government agencies improve the customer experience, by allowing citizens to schedule vaccine appointments via a platform of their choice with up to 28 languages and dialects, and manage vaccine deployment. The U.S. Navy spends billions annually to fight rust and corrosion on its ships. Inspections of ships, aircraft and vehicles are a time-consuming and critical part of keeping the U.S. Navy at top performance so Google Cloud and Simple Technology Solutions (STS) rapidly built an AI-based corrosion-detection and analysis system. The system detected and analyzed corrosion on vessels with 90% accuracy and will eventually be used to automate inspections of vessels, aircraft, and vehicles—saving billions of dollars. Document AI helps a variety of government agencies scale their document processing, reducing the time it typically takes to process enormous amounts of data and related citizen claims.
Successful adoption of AI also depends on the quality of the data. Ultimately, agencies need high-quality enterprise data pipes so that employees and the community trust the system and public sector agencies. Sale described a GSA project that used AI bots to read legal contracts and look for particular phrases that would indicate a specific use case. Previously, an employee would have had to read through the contracts and search for the information. In this way, AI is saving the government both money and time.
4. Creating better experiences for the public. Sale observed that, “trust is the government’s currency and profit motive.” And trust comes when the public can be served with the same modern tools and technology they’re used to – in real-time and with transparency in mind. For example, agencies can provide transparency in public-facing dashboards for programs and supply services that deliver information in real-time through solutions like CCAI.
Trust also requires that constituents feel that government agencies will keep their data safe and secure. The need for a globally secure infrastructure with systems that are up-to-date and designed with security at every level, underpinned by zero-trust enterprise-wide remains paramount – particularly after the series of recent cyberattacks targeting government IT infrastructure.
5. Finding the right technology partner. Government leaders need technology partners who provide a flexible and interoperable platform to integrate existing investments and maximize technical value. Historically, public sector agencies have largely been forced to adopt private clouds, which has reduced their access to richer features, and hindered their ability to adopt a full range of security and product capabilities. The right partner won’t require government leaders to compromise on functionality or service availability to achieve compliance. The right partner can harness the power of emerging technology to make it Government-ready and the true promise of cloud– the access and integration of open data– to make missions more powerful and impactful for the constituencies they serve.
Johnson & Johnson Increases it’s Ability to Find Highly Qualified Staffers for Business Critical Roles by 41% with Easy-to-Use AI

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Job seekers can often feel lost or disconnected—like the right opportunity is out there, but they don’t know where or how to look. Employers face a similar challenge when trying to attract the right candidates. Many companies, especially large enterprises, face a talent shortage across a range of critical roles.
For global companies like Johnson & Johnson (J&J), their online career website is an important recruiting tool. It’s the “front door” for talent that could make a vital difference in the company’s future and drive innovation for years to come.
However, career sites are often underutilized. If a job seeker doesn’t find a good job match with a quick search, they will likely move on. Too often, that represents a lost opportunity for both the company and the job seeker that could have been avoided with better search results.
“Partnering with Jibe and using Cloud Talent Solution for our career site allows us to do a much better job matching opportunity to talent on a very large scale.”
—Sjoerd Gehring, Global VP of Talent Acquisition, Johnson & Johnson
While J&J receives approximately 1 million applications for 25,000 positions each year, the percent of applicants that were highly qualified for open positions was low.
Although the company always has a variety of open jobs on its career site, it noticed that even when strong matches existed between online job seekers and available positions, search results often didn’t highlight or even display the right opportunities. The user interface wasn’t intuitive enough, and job seekers couldn’t easily find their ideal positions.
As J&J began to reevaluate recruiting to take a more relationship-centric and digitally-driven approach, the company began working with Jibe, a career-site solutions provider.
Jibe introduced J&J to Cloud Talent Solution, which uses machine learning to better match job listings with job seekers’ interests and qualifications. Using Cloud Talent Solution, companies can build a compelling career-site search experience that helps candidates easily find the jobs most relevant to them. With smarter job searches and recommendations, J&J improved the effectiveness of its career site in just a few weeks.
“Jibe and Google make it easy for a large company to make a real difference in the candidate experience without investing a lot of time, money, or internal resources,” says Sjoerd Gehring, Global VP of Talent Acquisition at Johnson & Johnson. “Now that we’re using Cloud Talent Solution, our career site search results are exponentially better.”
Transforming job searches with better matches
Cloud Talent Solution better connects job seekers with jobs, because it understands the nuances of job titles, descriptions, industry jargon, and skills, matching job seeker preferences with relevant listings based on sophisticated classifications and relational models. It helps decipher job seeker queries and employer job postings, removing the manual effort of optimizing job content for search.
By using the Jibe platform to integrate Cloud Talent Solution with its career site, job seekers are more easily finding what they’re looking for and J&J is filling business critical roles more efficiently.
Since integrating Cloud Talent Solution, J&J has seen a 41% increase in high-quality job applicants per search and a nearly 45% increase in click-through rate on its career site.
“Partnering with Jibe and using Cloud Talent Solution for our career site allows us to do a much better job matching opportunity to talent on a very large scale,” adds Sjoerd. “We’re able to take a more personal approach and really connect with job seekers, which is a win.”
“Today’s job seekers expect a prospective employer’s career site to work like the other cloud services they use. Using Google’s machine learning and artificial intelligence, we can help customers like J&J get better search results and return jobs that candidates are more likely to apply to.”
—Joe Essenfeld, Founder & CEO, Jibe
Connecting people with opportunities
J&J is now offering job seekers experiences in line with what they have come to expect as consumers—searching for a job should be as easy as searching for flights, restaurants, products, and other services. Because candidates are familiar with the experience, their level of interaction and engagement goes up, creating a larger pipeline of qualified candidates and filling jobs faster.
“Today’s job seekers expect a prospective employer’s career site to work like the other cloud services they use,” says Joe Essenfeld, Founder & CEO at Jibe. “Using Google’s machine learning and artificial intelligence, we can help customers like J&J get better search results and return jobs that candidates are more likely to apply to.”
A new digital revolution for recruiting
J&J continues to work with Jibe and Google to offer new features which make its career site even more effective. By offering job seekers a transformative, engaging experience, J&J is a more attractive and visible employer, increasing the value of its brand. It’s also continuously improving its recruiting process with end-to-end visibility and feedback from interactions with a million people every year.
“Transforming our career site with Jibe and Cloud Talent Solution directly impacts our ability to attract high-quality talent and hire those candidates faster,” adds Sjoerd. “Lots of people are looking for their dream job, and if it’s here at J&J, we want them to find it quickly and easily.”
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Cloud Retail Search, part of Discovery Solutions For Retail portfolio, helps retailers significantly improve the shopping experience on their digital platform with ‘Google-quality’ search. Cloud Retail Search offers advanced search capabilities such as better understanding user intent and self-learning ranking models that help retailers unlock the full potential of their

Lending DocAI Shortens Borrowers’ Journey on Roostify
The home lending journey entails processing an immense number of documents daily from hundreds of thousands of borrowers. Currently, home lending document processing relies on some outdated digital models and a high dependency on manual labor, resulting in slow processing times and higher origination costs. Scaling a business that sorts






