Latest Features and Updates to Globally Bolster Translation Services

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Let’s face it: in the globalized world, which is now more than ever a digital demand world, you need to scale and reach your customers right where they’re at. Translation is a critical piece of that, whether you’re translating a website in multiple languages or releasing a document, a piece of software, or training materials.
Manual translation does not scale, which is why machine translation, powered by machine learning (ML), is becoming more important to our customers. Machine translation has historically been challenging because of the sheer volume and breadth of content that can add value when translated into multiple languages. Companies acquire and share content in many languages and formats, and scaling translation to meet needs is a tall order due to multiple document formats, integrations with optical character recognition (OCR), and the need to correct for domain-specific terminology.
Our goal is to simplify translation services, while enabling flexibility and control for our customers’ unique needs across industries. Read on to learn more about recent features and updates.
Formatting matters: Document Translation is now GA
In many cases, the layout of a document dictates how it should be interpreted—e.g., readers navigate text and discern meaning based on formatting, like bold or italicized text, or markups for headers, paragraphs, and columns. Previously, to automate translation of documents, text needed to be separated from these layout attributes, meaning the document’s structure was either lost or needed to be recreated later in the developer pipeline, after the text had been translated. This required translation teams to do a lot of extra work and maintain a lot of additional code. But now, those steps are unnecessary. Formatting can be retained throughout the translation process, handled directly by the Translation API Advanced.
This feature lets customers translate documents in 100+ languages and supports document types such as Docx, PPTx, XLSx, and PDF while preserving document formatting.
And if your needs go beyond Document Translation, we can help you translate audio as well. For real-time streaming translation, check out the Media Translation API, and for offline transcription translation, combine the Translation API with the Video Intelligence API.
Real-Time translation when you need it, Batch when you don’t
One of the biggest differentiators for Translation API Advanced’s document translation capabilities is the ability to do real-time, synchronous processing for a single file.
For example, if you are translating a business document such as HR documentation, online translation provides flexibility for smaller files and provides faster results. You can easily integrate with our APIs via REST or gRPC with mobile or browser applications, with instant access to 100+ language pairs so that content can be understandable in any supported language.
Meanwhile, batch translation allows customers to translate multiple files into multiple languages in a single request. For each request, customers can send up to 100 files with a total content size of up to 1 GB or 100 million Unicode codepoints, whichever limit is hit first.
State of the Art (SOTA) accuracy, with flexibility for customization
In order to achieve the highest level of accuracy for your translation, we now support multiple options:
- Use Google’s SOTA translation models: Each year, Google heavily invests to improve the quality of our translations across Apps, Cloud APIs, and Chrome, as well to enable multilanguage answers in Search. A popular metric for automatic quality evaluation of Machine translation systems is the BLEU score, which is based on the similarity between machine translation and the reference translations that were generated by people. While we push out incremental improvements for individual models on a monthly cadence, there are also times where we make significant leaps. In the releases since 2019, we have improved our average BLEU score by 5pts on average across 100+ languages and 7pts on low resource languages.
- Leverage glossaries for specific terms and phrases: Glossary is our terminology control feature. It allows you to import source content to define preferred translations, such as product names or department names. Then, when calling the glossary in the API request, your preferred translations will be enforced. This will work for words as well as phrase translation.
- Pick a pre-trained model with model selection: If you create custom models for machine translation, we don’t think you should have multiple client libraries and multiple APIs to maintain in order for you to use the best model for your needs. Translation API Advanced now supports Model Selection. Pick your pretrained model or pick your custom ML model built on AutoML for any language pair you’ve created and use the same API and the same client library.
- Build custom translation models with AutoML: AutoML Translation is a suite of ML products that enable you to build high quality models for your own use case or data, with limited-to-no ML expertise or coding required. Bring your past human-validated translations to improve translation specificity for your domain.
Keep localization local with Regional Endpoints
If you are a customer operating in the EU, we recently launched an endpoint specifically for EU regionalization. This is a configurable endpoint for customers to store and perform machine translation processing of customer data only in the EU multi region. For now, this only supports our pretrained translation models and glossary, but batch translations will be coming soon.
How Eli Lilly uses Cloud Translation to translate content globally
Historically, translations at Eli Lilly have been complicated: numerous translation vendors have been needed for different languages and organizations, all with their own processes and expectations. On top of that, translations have been costly and slow.
To solve this, Eli Lilly took a codified approach to enable users and systems to spend less time and resources to safely generate quality translations.
Learn more, and even catch a demo, from Thomas Griffin, Translation Tech Lead & Global Regulatory Architect for Eli Lilly.

Learn more
- To get started using Cloud Translation – Advanced, complete the setup and then try the Translate text (Advanced edition) quickstart.
- Document Translation is priced per page. For more information, see pricing.
How 4K+ Coffee Lovers Get their Cuppa at Costa Coffee with the Help of Google Maps

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Editor’s note: Gordon Lucas, Global Head of Digital Engineering at Costa Coffee, explains how Google Maps Platform helps direct customers to each of its 4,000 plus Costa Coffee shops across the world, as well as streamline payments, and optimize deliveries.
When brothers Sergio and Bruno Costa opened the first Costa Coffee in central London in 1971, they relied on word of mouth to grow trade. Personal recommendations encouraged people who lived and worked locally to visit the coffee shop and sample what became (and still remains) our signature blend coffee, Mocha Italia.
Fast forward 50 years and we have more than 4,000 coffee shops spread over 31 countries. To make it as easy as possible for our global customers to pick up a Mocha Italia, a Costa Americano, or any other Costa Coffee product wherever we operate, we decided to create a visual app. We wanted the app to help customers across the world find their most convenient eat-in, takeaway, drive-thru, partner store, or delivery platform, and highlight which services are available and at what times.

Enhancing the customer experience with intelligent maps
We were already using Google Maps Platform products on our website to provide our customers with a basic store locator service. So when we launched our mobile app in 2017, we added more interactive geospatial features to make our customers’ journeys quicker and easier.
We chose to enhance our existing Google Maps Platform solution because our developers enjoyed using it. Google Maps Platform offered all the capabilities we needed to boost our solutions, and we were excited to see how we’d be able to leverage geospatial data to improve the experience of our customers.

Our Google Cloud Premier Partner, Snowdrop Solutions, supported us in deploying all our requirements so the app’s new features could be rolled out globally. We wanted to direct pedestrians and vehicles to standalone Costa Coffee shops and kiosks in supermarkets and gas stations. We also wanted a dynamic map feature to highlight which locations offered click-and-collect, drive-thru, and delivery services. We then wanted to link these services to our online payments systems, seamlessly integrating our transaction process to make it as easy as possible for our customers.
To that end, we used the Maps Static API to embed maps within our app, and the Geocoding API to convert addresses into coordinates to create markers on our maps. We also use the Places API to allow customers to search for a Costa Coffee facility based on their location.
A new route for customer satisfaction
We had one issue when it came to locating Costa Coffee shops, however. We noticed that some customers were selecting the wrong store to collect orders. Fortunately, Google Maps Platform provided a quick fix that solved this issue. We updated the service to provide customers with a map of their collection point upon receipt of their order, remindIng them which store to collect from. A tweak like adding a map to a receipt improves customer satisfaction. The drop in calls to our customer service is testimony to this.

Geospatial intelligence became invaluable in the pandemic
We had to adjust our service when the pandemic hit and Google Maps Platform was again instrumental in helping us. Because we had to comply with unique lockdown measures and travel restrictions across different locations, it could be challenging for our customers to stay up-to-date on the changing opening times and service guidelines of our shops. So we used Google Maps Platform Places API to show our customers which nearby stores, click-and-collect outlets, or drive-thrus were open, and when, during lockdowns.
Integrating this with our mobile ordering system also enabled us to promote COVID-safe contactless payments. Customers can locate a Costa Coffee shop, select, order, purchase, and collect their order or have it delivered to their cars without the need for any human contact. This reduces service wait times and minimizes the risk of transmission between customers and baristas. It also makes our employees feel more safe at work.

Geospatial data optimizes our entire operation
When the lockdown ended, our in-app order data showed a spike in demand, illustrating how much our customers miss their Costa Coffee experience. This data not only helps us to identify demand, it lets us track user preferences, informs where to direct supplies to meet a raised demand, and creates more accurate forecasts. This data can also help us manage costs.
Geospatial intelligence is also used to improve the experience of customers, from when they first look to order a cappuccino to when they arrive at the shop to enjoy it. We are using geomarketing to surface local offers. Say a Costa Coffee shop is trialing a new beverage, a pop-up can suggest users of our app try it next time they’re nearby.
Google Maps Platform has become integral to our digital operations. New features and capabilities of Google Maps Platform products have allowed us to continue innovating. The Costa Coffee footprint now spreads physically and digitally around the globe, and with the help of Google Maps Platform we can still offer the same tailored personal service that spurred the initial success of the Costa Brothers 50 years ago.
For more information on Google Maps Platform, visit our website.
YoungCapital CIO: Why I Moved to Google Cloud and G Suite to Grow Our Business

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When your business is rapidly adding new employees, expanding to new countries, and always focused on staying ahead of the competition, you have to take a hard look at the tools that are slowing you down—and swap them out for better ones that can keep pace with the company. We’re expanding YoungCapital in Germany, which means more offices, more people, and more technology to make the business run smoothly.
As we scale, Google Cloud tools like Chromebooks and G Suite help us grow our business efficiently. They free us up from sluggish, time-intensive technology that’s hard to maintain and repair, and give us the freedom to work together in faster, smarter ways.
Free from hours of device setup. Some months, there are as many as 40 new employees starting at YoungCapital—and as we continue to expand that number will continue to rise, especially now that we’ve opened three new offices in Germany. With our old Windows desktops, setting up new computers could take up to an hour per employee (which can add up to about 40 hours a month for IT). Today, using Chrome Enterprise tools, it takes about five minutes to get an Acer Spin or Pixelbook ready to hand off to a new hire—saving us more than three months per year of device setup time.
Free from VPNs. Our previous Windows machines required a complicated virtual private network (VPN) for accessing corporate files outside of the office. Using a VPN was complicated for our employees because the software wasn’t intuitive; if an employee had trouble signing into the VPN while at home or traveling, they could not log in and work as quickly as they needed to. With Chromebooks, all you need is an online connection to sign into G Suite to access files and work from anywhere.
From our perspective, Chromebooks are resistant to threats like ransomware and phishing attacks, giving us confidence that our data can stay secure. With Chrome Enterprise Upgrade, our IT admins can strengthen security even further: for example, by enabling advanced security features that help block vulnerabilities, locking down lost or stolen devices right away, and setting device security policies in the cloud so devices everywhere are safer.
Free from infrastructure. We used to have to invest in servers, and then add more time and money to keep them running. Now we don’t have to run the business on infrastructure or hire people to maintain it—we can just use Google’s cloud. NextNovate is helping us make the most of Google Cloud Platform, like integrating some of our proprietary applications with G Suite and building our own add-ons. For example, we created a button for Gmail that connects to our job candidate database; when candidates email us, we can click on the button and see their profiles and work experience.
Free from multiple passwords and logins. Chrome Browser and G Suite with single sign-provider SAML are the portal to all the productivity apps our employees need. Once people log in to G Suite, they don’t have to remember a bunch of other user names and passwords. The IT team loves it too, because we don’t have to spend hours zeroing out passwords and creating new ones.
Free to manage cross-country devices easily in the cloud. Our four-person IT support team, which keeps our systems humming, hasn’t grown, even though we’ve doubled the number of employees. When we were on Windows devices, we fielded roughly 1,800 IT support requests every month. Now we get about 1,300 requests a month, from a much bigger employee base. This translates to nearly 30% fewer requests for our lean support team, which reduces their workload significantly even though we have roughly 20% more employees—all made possible with Chrome Enterprise.
Being free of slow, high-maintenance technology doesn’t just make the IT department happy—people are actually changing how they work. They no longer send files to each other by email or struggle to keep track of versions; they store everything in Google Drive and work together in Google Docs on a single document at the same time. And instead of traveling to other offices, connecting with each other in video conferences on Hangouts Meet has become a completely natural way to do business.
With Chromebooks and G Suite, we’re ready for anything: more new markets, more employees, and more-flexible ways to work together and shake up the staffing industry.
The Future of Cloud Computing: Choose Your Own Services and Payment Options

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As the saying goes, “it’s hard to make predictions, especially about the future.” Some organizations find it challenging to predict what cloud resources they’ll need in months or years ahead. Every organization is on its own unique cloud journey. To help, we’re developing new ways for customers to consume and pay for Google Cloud services. We’re doing this by removing barriers to entry, aligning cost to consumption and providing contractual and product flexibility. Read on to learn how we’re rolling out several new go-to-market programs across these key areas to help our customers purchase and consume Google Cloud services more easily.
Removing barriers to entry with Google Cloud Flex Agreements
Many customers choose multi-year commitments because they provide better line-of-sight into IT spend and budgeting. However, these commitments can create difficulty for those who don’t have clear visibility into their future cloud consumption needs. That’s why today we’re launching Flex Agreements, which enable customers to migrate their workloads to the cloud with no up-front commitments. As part of this new licensing option, Google Cloud customers still get access to unique incentives, such as monthly spend discounts1, committed use discounts, cloud credits, and access to professional services, based on monthly spend and workloads migrated to Google Cloud.
Flex Agreements are just one example of how we are removing barriers to help customers start using Google Cloud. In 2022, we launched the Innovators Plus annual subscription, which gives developers a curated toolkit to accelerate their expertise, including access to live and on-demand training through Google Cloud Skills Boost, Google Cloud credits, and more.
We also recently expanded trials for Google Cloud products. For example, the new Spanner free trial instance is good for 90 days, allowing developers to create Google Standard SQL or PostgreSQL databases, explore Spanner capabilities, and prototype applications—with no commitment or contract needed.
Contractual and feature flexibility
Contractual flexibility has always been one of our core principles. Committed Use Discounts (CUDs), for example, provide discounted prices in exchange for a commitment to use a minimum level of resources for a specified term. Last year, we introduced Flexible CUD, spend-based commitments that offer predictable and simple flat-rate discounts that apply across multiple virtual machine families and regions.
In addition to contractual flexibility, our customers also need the flexibility to choose features and functionality based on their stages of cloud adoption and the complexity of their business requirements. Therefore, over the next few quarters, we will launch new product pricing editions—Standard, Enterprise, and Enterprise Plus—in parts of our cloud portfolio. This new commercial packaging model will help give customers more choice and flexibility to optimize their cloud spend.
For customers running workloads such as those in regulated industries like banking and public sector, the higher-end Enterprise Plus tier will offer compute, storage, networking and analytics services with high availability, multi-region support, regional failover and disaster recovery, advanced security, and a broad range of regulatory compliance support. The Enterprise pricing tier will include a broad range of features designed for customers with workloads that demand a high level of scalability, flexibility, and reliability. The Standard pricing tier will offer cost-efficient and easy-to-use managed services that include all essential capabilities such as autoscaling to meet the core workload requirements of customers.
Align costs to consumption with autoscaling
At Google Cloud, a core requirement for the products we build is providing customers industry-leading capabilities to automatically scale (autoscale) services up and down to match capacity with real-time demand. Autoscaling improves uptime, reduces infrastructure costs, and removes the operational burden of managing resources.
Many Google Cloud products include autoscaling capabilities to help customers manage unplanned variations in demand. For example, Dataflow vertical and horizontal autoscaling, in combination with granular adaptive resource configuration (aka “right-fitting”), has resulted in up to 50% saving in infrastructure costs for streaming by automatically choosing the right number of instances required to run the jobs and dynamically re-allocating more or fewer instances during the runtime of jobs. Bigtable also provides native autoscaling capabilities, and Spanner’s autoscale is an open source tool that works across regional and multi-regional Spanner deployments.
Similarly, we added multiple features such as Cluster Autoscaler, Horizontal Pod Autoscaling, Vertical Pod Autoscaling, and Node Auto-Provisioning to GKE for elasticity and cost efficiency.
For L.L.Bean, the ability to quickly scale capacity to meet changing usage patterns (e.g., during the holidays), as well as to rapidly perform load tests to test capacity, are “night and day” with Google Cloud compared to L.L.Bean’s legacy on-premises IT system.
“We won’t have to pay for peak capacity to have it available during peak shopping times. We just scale capacity up or down as needed.” — Randy Dyer, Enterprise Architect, L.L.Bean
We are now taking these capabilities to the next level by enabling autoscaling in BigQuery at a more granular level so you never pay more than what you use. This allows you to provision additional capacity in smaller increments, so you never overprovision and overpay for underutilized capacity. BigQuery customers can now try the new BigQuery autoscaler (currently in public preview) in their Google Cloud console.

A commitment to flexibility and choice
At Google Cloud, we remain deeply committed to the success of our customers and partners, and we are uniquely positioned to help organizations transform their business. By providing you with more flexibility and choice in how to purchase our products, we are empowering you to be more efficient and resilient.
Join Google Data Cloud & AI Summit to hear the latest announcements around innovations in Google Data Cloud for databases, data analytics, business intelligence, and AI. Gain expert insights, new solutions, and strategies that can help you transform customer experiences with modern apps, boost revenue, and reduce costs.
1. Not available for customers buying through Partner Advantage.
Google’s Latest ‘Carbon Footprint’ can Flag Users about Carbon Emission Levels from their Cloud Usage

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Google Cloud is proud to support our customers with the cleanest cloud in the industry. For the past four years, we’ve matched 100% of our electricity use with renewable energy purchases, and we were the first company of our size to commit going even further by running on carbon-free energy 24/7 by 2030. As we work to achieve 24/7 carbon-free energy, we help you take immediate action to decarbonize your digital applications and infrastructure. We’re also working with our customers across every industry to develop new solutions for the unique climate change challenges that organizations face. Today, we’re excited to expand our portfolio of carbon-free solutions and announce new partnerships that will help every company build a more sustainable future.
First, we’re launching Carbon Footprint, a new product that provides customers with the gross carbon emissions associated with their Google Cloud Platform usage. Now available to every GCP user for free in the Cloud Console, this tool helps you measure, track and report on the gross carbon emissions associated with the electricity of your cloud usage. Of course, the net operational emissions associated with your Google Cloud usage is still zero. With growing requirements for Environmental Social and Governance (ESG) reporting, companies are looking for ways to show their employees, boards and customers their progress against climate targets. Using Carbon Footprint, you have access to the gross energy related emissions data you need for internal carbon inventories and external carbon disclosures, with one click.
Built in collaboration with customers like Atos, Etsy, HSBC, L’Oréal, Salesforce, Thoughtworks and Twitter, our Carbon Footprint reporting introduces a new standard of transparency to support you in meeting your climate goals. You can monitor your gross cloud emissions over time, by project, by product and by region, giving IT teams and developers metrics that can help them reduce their carbon footprint. Our detailed calculation methodology is published so that auditors and reporting teams can verify that their cloud emissions data meets GHG Protocol guidance.

“The power of knowledge combined with the power of technology innovation plays a vital role in proactively responding to the climate crisis we are facing. With Google Carbon Footprint reporting, Atos feeds emissions data in our Decarbonization Data Platform, demonstrating potential emissions reductions from the Google Cloud Platform to our customers. This reporting opens up new levels of emissions transparency, trajectory planning, and data insight to support our customers in meeting, and potentially accelerating towards, their climate goals.”—Nourdine Bihmane, Head of Decarbonization Business Line, Atos
“The capability to measure and understand the environmental footprint of our Public Cloud usage is among the key axis of our sustainable tech roadmap. With Google Cloud Carbon Footprint, we are now able to directly follow the impact of our sustainable infrastructure approach and architecture principles.”—Hervé DUMAS, Sustainability IT Director, L’Oreal
While digital infrastructure emissions are just one part of your environmental footprint, accurately accounting for IT carbon emissions is necessary to measure progress against the carbon reduction targets required to avert the worst consequences of climate change. To help you account for emissions beyond our cloud and across your organization, we’re excited to partner with Salesforce Sustainability Cloud, integrating our Google Cloud Platform emissions data into their carbon accounting platform.
“As we face unprecedented climate challenges, companies across the globe need to embed sustainability into the core of their business in order to meet growing customer and stakeholder expectations, and reduce their environmental impact. Together, Google Cloud and Salesforce Sustainability Cloud can help our joint customers accelerate their path to Net Zero, leveraging data-driven insights and visualizations to track and reduce their carbon emissions to drive sustainable change.”—Ari Alexander, GM of Salesforce Sustainability Cloud.
From information to action
With the gross energy-related emissions footprint of data associated with your Google Cloud usage now available, we’re committed to providing tools to not only measure your carbon footprint, but help you reduce it. We recently launched low-carbon region icons to help you choose cleaner regions to locate your Google Cloud resources. New users who see the icons are over 50% more likely to choose clean regions over others, ensuring their applications emit less carbon over time.
For current Google Cloud users, we’re pleased to announce that Active Assist Recommender will include a new sustainability impact category, extending its original core pillars of cost, performance, security, and manageability. Starting with the Unattended Project Recommender, you’ll soon be able to estimate the gross carbon emissions you’ll save by removing your idle resources. Unattended Project Recommender uses machine learning to identify, with a high degree of confidence, projects that are likely abandoned based on API and networking activity, billing, usage of cloud services, and other signals, and provides actionable recommendations on how to remediate those abandoned projects. By deleting these projects, not only can you reduce costs and mitigate security risks, but you can also reduce your carbon emissions. In August, Active Assist analyzed the aggregate data from all customers across our platform, and over 600,000 gross kgCo2e was associated with projects that it recommended for cleanup or reclamation. If customers deleted these projects they would significantly reduce future gross carbon emissions. Check out this blog to learn more about Active Assist.

Solutions for climate resilience
Many of our customers face difficult questions about how their business impacts the natural environment today, and how it will be affected by climate change in the future. Answering these questions requires rich datasets about the planet, better analytics tools and smarter models to predict potential outcomes. For over a decade Google Earth Engine has supported scientists and developers with hyperscale computing power and the world’s largest catalog of satellite image data. Today, we are delighted to announce the preview of Earth Engine as part of Google Cloud Platform. Now, you can access Earth Engine and combine it with other geospatial-enabled products like BigQuery. By extending Earth Engine’s powerful platform to enterprises through Google Cloud, we are bringing the best of Google together.
Over the past year we’ve worked with a number of organizations to use Earth Engine technology with tools like BigQuery and the Cloud AI Platform to develop new solutions for responsible commodity sourcing, sustainable land management and carbon emissions reduction. Earth Engine enables companies to track, monitor and predict changes in the Earth’s surface due to extreme weather events or human-caused activities, thus helping them save on operational costs, mitigate and better manage risks, and become more resilient to climate change threats. This new offering will wrap the unique data, insights and functionality of Earth Engine with a fully-managed, enterprise-grade experience and reliability.

As we work with our customers to accelerate their sustainability initiatives, earth observation data is proving critical to effectively plan for the long-term impacts of climate change. To extend our geospatial and sustainability use cases we’re also expanding our partnerships with CARTO, Climate Engine, Geotab, NGIS, and Planet to bring their data and core applications to Google Cloud.
These partners will each make their existing platforms and datasets available globally on Google Cloud, giving you low-latency and reliable access to critical data and applications that will inform your sustainability initiatives. By integrating water availability, agricultural data, weather risks, and extensive daily satellite imagery into Earth Engine and BigQuery, you can achieve more ambitious goals for the sustainability of your business and our planet.
Committing to help you meet your climate goals
With each of these tools, we’re working to reduce the barriers you face in adopting more sustainable technology practices. We understand that building more sustainable applications and infrastructure is not easy. You face competing priorities, technical challenges, and the perception that climate action is costly.
It doesn’t have to be this way. Today, we are making a sustainability pledge to you: teams across Google Cloud are committing to eliminating the barriers you face in building a more sustainable digital future for your organization, and will help you take action today to realize your climate goals. We’ll do this in a number of ways:
- In digital transformation projects and workshops, sustainability teams will always have a seat at the planning table, so we can work together on using cloud technology to build a more sustainable future.
- We’re putting low-carbon signals natively into our products to help developers choose more sustainable options early in their application development.
- We’ll ensure carbon impact is measured consistently with other key performance indicators. Leveraging the social cost of carbon, the ROI models and value assessments you conduct with Google Cloud will project your emissions impact too.
- We’ll be transparent about our carbon impact, by publishing third-party reviewed reports and methodologies, so you can trust the data for your own reports and disclosures.
- We’ll continue to work with the industry on best practices, including educational resources like Sustainable IT – Decoded, a new masterclass created in partnership with Intel, that shares the expertise of sustainability thought leaders.
For the next decade we need to work together to avert the worst consequences of climate change. We’ve made tremendous progress in building technology that helps everyone do more for the planet, and we’re excited to see what you do with it. Visit this page to learn more about Google Cloud’s sustainability efforts.
Google Launches Product Locator and Gives Store Locator Plus an Upgrade to Expand Retail Offerings

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We all experienced, first hand, how Covid-19 has impacted the world and our communities. Last year, store closures, reduced hours, and social-distancing requirements drove people to adopt more e-commerce options, which, according to eMarketer, grew 27.6% worldwide in 2020. Meanwhile, consumer desires to shop locally also grew with Google searches for “____ near me” up 100% year over year,1 and 1 in 3 consumers having tried curbside pickup over the last year.2
As countries begin to lift Covid-19 restrictions, businesses are looking toward a post-pandemic future and asking ‘Which of these shopping trends will stick and how should I adapt?’ At Google, we expect consumers to continue demanding helpful shopping experiences that blur the line between the physical retail and digital experience, as well as help them to continue shopping locally.3 To address these changes in shopper behavior, we refreshed our retail solutions—adding a new solution, Product Locator, and updating Store Locator Plus—to help you offer the best possible online-to-offline experience and drive shoppers to your stores.
Introducing Product Locator solution: connecting online shopping to nearby stores
Under Covid restrictions, consumers have grown accustomed to having a myriad of shopping options, from curbside pickup to same-day delivery. Increased searches for ‘along my route’ and ‘in stock’ tell us that convenience is king for today’s consumer.4 Retailers can increase online conversion rates and drive store visits by including product availability and pick-up options on each of their product description pages (PDP); emphasizing the speed and convenience of these options and saving on significant shipping costs.
Our newest retail solution, Product Locator, can further help drive customers to visit by showing the exact distance stores are to the shopper and even estimated driving time, to further highlight the convenience of a store visit. A study conducted by Shopify found that showcasing local inventory boosted key store metrics including 45% of local pickup who made an additional purchase upon arrival.5 See the Product Locator solution guide to get started today.

Update your store locator page to address more of shoppers’ needs
Store locators allow shoppers to more easily find your stores and can be made even more helpful with our Store Locator Plus solution. Our updated Store Locator Plus solution refreshes the store locator page to be more informative and engaging by integrating offers redeemable in-store, online scheduling for appointments and services, and text me directions services. Implement Store Locator Plus today using the guide.

Build and customize Store Locator Plus for your business in minutes
At Google Maps Platform, we are always thinking of ways to make building a map easier and faster for our customers. In May at I/O we made Cloud-based Maps Styling generally available, enabling map updates to happen without touching a line of code. Today we’re excited to introduce Quick Builder, our free, low code builder which allows you to demo, customize and build a version of the Store Locator Plus solution for your website in minutes. Experience Quick Builder today.
To learn more about how you can start adopting these retail solutions, visit our retail solutions page.
For more information on Google Maps Platform, visit our website.
1 Global Insights Briefing: Getting back out there
2 https://www.shopify.com/pos/future-of-retail-2021
3 https://www.thinkwithgoogle.com/future-of-marketing/digital-transformation/covid-trends-1-year/
4 https://www.thinkwithgoogle.com/consumer-insights/consumer-trends/pandemic-shopping-behavior/
5 https://www.shopify.com/pos/future-of-retail-2021
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