Google Cloud's Virtual Appointment Scheduling Tool (VAST) Helps State of Arizona Recover from Unemployment Situation - Build What's Next
Case Study

Google Cloud’s Virtual Appointment Scheduling Tool (VAST) Helps State of Arizona Recover from Unemployment Situation

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The state of Arizona partnered with Google Cloud and SADA to build Virtual Appointment Scheduling Tool (VAST) to expedite form uploading, virtual career counselling and other administrative tasks for citizens to find jobs during the pandemic phase!

When the world was forced to go primarily online, state governments also faced the reality of needing to provide community services without the health risk of meeting in person. Old systems that relied on interpersonal contact could not keep up. An unprecedented number of displaced workers swamped every unemployment system. The capacity challenges weren’t limited to state labor departments either. Everything from birth certificates and marriage licenses to apostilles and court system services that could usually be handled by a simple walk-in had to be scheduled in advance. Both internal and external communication suffered. 

To meet these challenges, many organizations turned to new technology solutions and innovative approaches.

How VAST helped Arizona get back to work

The State of Arizona had tens of thousands of constituents who relied on pandemic unemployment insurance and would also need tools to reenter the workforce.Tim Tucker, Deputy Administrator of the Workforce Development Administration for the Arizona Department of Economic Security, started preparing in late 2020. He collaborated with Google Cloud and SADA to introduce the Virtual Appointment Scheduling Tool (VAST) to State of Arizona staff members. Using VAST reduced the excessive workload taken on by the Workforce Development Administration as they got Arizona back to work. VAST lets constituents book an appointment, upload documents and forms, and conduct career counseling virtually. This helped constituents move through the system faster so they could successfully reenter the workforce.

That preparation paid off. As of September 2021, Arizona had recovered the majority of the jobs lost during the pandemic. It has also seen one of the smallest percent change in employment compared with pre-pandemic numbers. Even more impressive, Arizona is one of only five states where unemployment claims are now lower than pre-pandemic numbers. Using VAST helped them get people back to work faster and has become a permanent part of their unemployment program.

Bringing streamlined services to the community

To fully realize a solution to the challenges faced by our public sector customers, we focused on three key areas in which we knew we needed VAST to excel:

  • Efficient staff allocation
  • Streamlined internal meetings
  • Confident constituent interactions

We also knew our customers needed to get VAST online fast, and it needed to work with existing infrastructure without requiring a total overhaul. These areas informed the design of VAST’s features and have allowed us to meet the challenges faced by agencies such as the Arizona Department of Economic Security.

Virtual Agent support and integrations

VAST gives constituents 24×7 virtual agent support powered by  Google Cloud’s contact center AI virtual agents. Virtual agents are custom programmed to fit the specific needs of each agency and community they serve. It’s easy to add new options and information whenever an update is needed. Virtual agents can be designed to understand the user’s intent and serve up relevant content for a smooth user experience on both ends of the system. Virtual agents run at scale and offer multi-language support, ensuring they can serve everyone in the community. By pairing these with VAST, constituents can experience seamless self-service. 

6 week deployment time

Most of our public sector clients needed a solution yesterday. VAST can be deployed rapidly, taking about six weeks from start to finish, which includes everything–even staff training time.

 Integration with Google Workspace and Chrome

VAST securely integrates with other Google solutions, such as Google Workspace and Chromebooks. We work to ensure VAST is fully functional within your existing systems.

Collaboration and support

SADA collaborates with each organization to ensure that the design, development, and functionality of VAST align with their needs. SADA specializes in helping public sector customers migrate to Google Cloud. 

Analytics

Application administrators have access to analytic data gathered by VAST and options to customize and add additional datasets.This data helps organizations find blind spots in coverage, fix service bottlenecks, and better organize internal resources. Leveraging this data gives organizations the power to make changes, resulting in everything from a smoother customer experience to cost savings.

To learn more about how Google Cloud has supported Arizona during the pandemic, check out this blog on how their vaccination distribution system leveraged Google Cloud to get the vaccine to more people. For more information on how VAST can streamline a customer experience.

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How Real IT Leaders Create a Machine Learning Strategy

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Sure, machine learning is becoming a business imperative, but how does it work in practice?

That’s the subject of a new step-by-step guide to solving business problems with artificial intelligence and ML, based on insights gathered by IDG Research Services.

Its publication comes at a time when technology leaders face growing pressure to embrace these emerging technologies, yet many have questions about how to get started.

It has real-life examples such as a health services company that used ML to reduce support ticket-resolution time from 48 minutes to six.

In another section, a financial services VP explains that cloud-based ML services enable his company to avoid spending money on computing resources that sit idle.

The guide also includes concrete tips for new ML adopters, provided by the CIOs and other IT leaders who participated in IDG’s research. For example, a real-estate CIO recommends the use of third-party tools that rely on AI and ML technologies, while a financial services VP highlights the challenge and potential of incorporating unstructured data into ML initiatives.

Download the guide now!

Case Study

How Toyota’s Google Cloud-powered Voice Assistant Gives a Turboboost to Drivers’ Experience

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Paperless car manuals and PDF documents that require frequent reformatting are the things of the past. Toyota Driver's Companion offers real-time voice assistant offers interactive drivers' experience. Learn how Google Cloud powers this vision.

Over the decades, technology has helped us organize large amounts of physical information in ways that are streamlined, efficient, and easily accessible. Rows upon rows of encyclopedias are no longer needed; simply punch in or speak a query into Google Search and find numerous results at your fingertips. There’s no need to haul around cases of CDs or cassettes either, when you can access hundreds of thousands of songs on music streaming services. 

We wanted to bring that same level of accessibility to one specific type of publication: the printed car manual. Here’s how we shifted the paper manual to become an easy-to-access, voice-activated digital experience for owners of the all-new Sienna. It’s helped this resource become just as modern and useful as Toyotas themselves.

Putting cloud technology in the driver’s seat

Far too often, the printed car manual remains unused, collecting dust in the glove compartment—that is, until it’s needed during a roadside emergency or to solve the meaning of a mysterious light popping up on the dashboard. Even then, thumbing through hundreds of pages during high-stakes moments can be stressful. On top of that, these manuals can be expensive to print and update.

Digital versions, such as a PDF file, are a nice start. But, they’re often little more than reformatted flat documents. In poor visual conditions on the side of a road, the last thing a driver wants to do is squint at a phone or scroll through pages of tiny text. And similar to printed manuals, digital versions don’t facilitate ongoing, real-time conversations between drivers and automakers when it matters the most; they’re often only text and pictures, and at best, schematic drawings.

With that in mind, we set out to elevate and personalize the car manual by creating a voice-activated digital owner’s manual experience, all powered by Google Cloud. A voice-based assistant was the clear choice because, as it felt like the most intuitive, natural option, especially while driving. In fact, 51% of U.S. adults have used a voice assistant while driving, and 95% of all drivers expect to use a voice assistant in the next three years. 

We’re now putting this technology on the road by powering the Toyota Driver’s Companion for the all-new 2021 Toyota Sienna model. Accessible through the existing Toyota app, this companion provides real-time assistance, any time of the day. Drivers can ask questions and the companion will efficiently provide helpful answers in convenient ways, from voice to 3D walkthroughs and explorable environments. 

What a modern car manual should do

The Toyota Driver’s Companion has interactive features to help drivers discover the Sienna’s dashboard, set up the car’s interior and exterior appearance, better understand vehicle maintenance, and explore Dynamic Radar Cruise Control, Lane Departure Alert and other features. 

Here are a few other additional key features to call out within the Toyota Driver’s Companion: 

  • An easily accessible virtual voice through the Toyota Driver’s Companion lets app users ask personal questions about their 2021 Sienna such as “what’s the height of my car?” and receive immediate answers either by voice, display or interactive input. 
  • The manual automatically connects with the purchased vehicle’s VIN number to create a completely personalized experience, curated specifically for the driver. For example, if an unfamiliar light on the dashboard pops up, the Toyota Driver’s Companion can help identify the light’s meaning.
  • Interactive hotspots throughout the vehicle’s interior let drivers explore the cabin virtually. Drivers can discover button functionalities, find specific dials, and learn more about car functions, such as how to slide seats or open doors, to become acclimated with their new vehicle.

To bring this experience to life, we tapped into some of our key Google Cloud solutions:

  • APIs powered by Google Cloud artificial intelligence technology make accessing specific vehicle information easy and effortless, by leveraging Google’s natural language processing:
    • Google Cloud DialogFlow API serves as the decision tree that gives intelligence for both finding an answer for a question, i.e., how the Companion responds to the end user’s questions. 
    • One of our Text-to-Speech APIs—called Wavenet—creates the Companion’s realistic voice. 
    • And finally, our Speech-to-Text API “listens” to the user’s voice and finds the correct information to craft responses. That means a driver can ask a question multiple ways, and the Companion will still respond with the right answer. 

Our Firebase mobile app dev platform gleans analytic insights that help improve the overall experience and services for OEMs and drivers alike.https://www.youtube.com/embed/66QxWS-PzIM?enablejsapi=1&

We’re encouraging better consumer experiences by providing faster access to fresh information, in a natural, accessible format—voice. But these new voice-activated experiences aren’t only an opportunity to help out drivers; it’s also about strengthening connections between drivers, their vehicles, and automakers, too. 

Our hope is that through this information exchange, drivers can provide feedback on the most frequently misunderstood features, enabling OEMs to address questions early on. By understanding the most requested features, OEMs can also predict and inform driver questions about features. We’re incredibly excited to help make the driver’s experience more connected and helpful.

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Explainer

The New and Upcoming Infrastructure for Google Cloud’s AI and ML Solutions

How does Google manage to provide its customers a differentiated compute platform experience and define ways to fully leverage its infrastructure supporting its cutting-edge AI and ML offerings? Easy-to-use, scalable and ability to create innovative products and services to end-users at low cost of ownership is the narrative behind Google Cloud’s AI and ML solutions. Explore Google Cloud’s ML infrastructure and accelerator innovation for 2021.

Watch the video to find out how Google Cloud’s leadership in AI through Google research, Deep Mind and also practical application of AI within Google Products drive innovative platforms and offerings that cater to customers’ AI and ML use cases!

Case Study

Manhattan Associates and Google Cloud: How the Partnership Accelerates Future of Digital Retail

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Google Cloud and Manhattan Associates collaborated to support the latter's always-on versionless approach to innovation. With cloud-first solutions, Manhattan has pushed innovations across retail supply chain and omnichannel commerce.

While the shift to digital business and the cloud has been well under way for some years now, organizations today have a new sense of urgency due to COVID-19. Delivering digital transformation is no longer a ‘nice to have’ option, rather, it is an operational imperative. Taking advantage of the infrastructure, platform and solution gains that cloud and microservices architecture provide is a must for brands today. 

At Google Cloud, we understand the pressures and challenges organizations of all sizes, across all industries are facing. The pandemic has dramatically impacted global commerce at-large, exposing (for many organizations across multiple sectors) gaps in omnichannel capabilities, business continuity and forecasting plans, not to mention spots in supply chain agility, resilience and responsiveness. 

A rapidly evolving consumer-driven commerce landscape has put innovation squarely in the spotlight for supply chain teams all over the world, with the effects of the global pandemic making it increasingly difficult for manufacturers, wholesalers, third party logistics providers and retailers (in particular) to weather the perfect storm of fast-moving consumer trends and a need for ‘always on’ digital innovation. 

These same effects have driven increasing interest and uptake of technology like the Manhattan Active® suite of solutions, as well as our own cloud platform; both of which afford organizations the levels of agility, flexibility and scalability needed to insulate their people, processes and long-term business strategies against unforeseen future obstacles such as global pandemics or international trade disputes.

An excellent example of this agility, flexibility and scalability in action is PVH’s response to the global pandemic. One of the most admired fashion and lifestyle companies with such iconic brands as Calvin Klein, TOMMY HILFIGER, Van Heusen, and IZOD, PVH was forced to temporarily close its physical stores and, as a result, experienced a sudden massive increase in online sales. The retailer was able to quickly pivot by adjusting its business rules in Manhattan Distributed Order Management (part of Manhattan Active Omni) to expose store inventory to online consumers and reroute its fulfillment processes. Thanks to Manhattan’s solution delivered through Google Cloud, in a matter of days, PVH was able to leverage both its distribution centers and vast store network to fulfill its online orders.

“The events of 2020 have accelerated retail and ecommerce operations forward,” said David Herridge, executive vice president of Global Value Chain Technologies for PVH. “With quick, creative thinking and the right partner, we were able to pivot operations, satisfy our customers and prepare for the future.”

Manhattan’s products have been recognized for their ability to solve real-world challenges through innovation, and used by many of the world’s top brands to solve some of their most complex commerce and supply chain challenges: the latest recognition is Manhattan’s position as sole leader in the 2021 Forrester Wave™ for Order Management Solutions. 

Since December 2018, Google Cloud has been collaborating closely with the team at Manhattan and its ‘always on’, versionless approach to innovation. And, during the last two and a half years, Manhattan has significantly accelerated its cloud-first solutions and market adoption, resulting in tremendous growth in its overall cloud business efforts. 

By building cloud native solutions on Google Cloud, the teams at Manhattan continue to deliver the high-performance, elastic, high-redundancy, secure solutions their customers rely on. Moreover, it means both Google Cloud and Manhattan continue to innovate and push the boundaries of what is possible in terms of the supply chain and omnichannel innovations that underpin global commerce – innovation that is needed more now than maybe ever before.

Our commitment to distributed cloud solutions and ongoing innovation, not to mention the fact Google Cloud operates a net carbon-neutral cloud, means that the working partnership between both industry leading teams continues to be a perfect match of brand values; not just from a technology perspective, but also a long-term sustainability and environmental one too.

More information on the partnership can be found here.

Case Study

How Constellation Brands’ Direct-to-Customer Tech Delivers Economic Impact across Business Portfolio

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Leading alcoholic beverage firm, Constellation Brands leverages Google Cloud's powerful tech stack to adopt a digitized, direct-to-customer (DTC) approach that prioritizes customer-centricity and insights generation. Learn more!

Editor’s note: Today we’re hearing from Ryan Mason, Director, Head of DTC Growth & Strategy, at alcoholic beverage firm, Constellation Brands on the company’s shift to Direct-to-Consumer (DTC) sales and how Google Cloud’s powerful technology stack helped with this transformation. 

It’s no secret that consumer businesses have been up-ended in a lasting manner after 18 months of the pandemic. Consumers have been forced to shop differently over the past year – and as a result, they’ve evolved to be more comfortable with online spending and have grown to expect a certain level of convenience. While the e-commerce share of consumer sales has grown steadily over the past decade, the pandemic was the catalyst for the famous “10 years of growth in 3 months” which many argue is here to stay. 

Facing this reality head-on,  we placed a new emphasis on Direct-to-Consumer (DTC) with our acquisition of Empathy Wines, a DTC-native wine brand that sells directly to consumers via e-commerce. To accelerate our innovation in the DTC space, we added headcount and new functions to the existing Empathy team and empowered the newly-minted DTC group to apply their digital commerce operating model across the rest of the wine and spirits portfolio, which includes Robert Mondavi WineryMeiomi WinesThe Prisoner Wine Company, High West Whiskey, and more. 

One pandemic and one year later, DTC sales have surged in the wine and spirits category with Constellation positioned as a leader armed with a unique and powerful cloud technology stack, best-in-class e-commerce user experiences, modernized fulfillment solutions, and data-driven growth marketing. 

Benefits of Going DTC 

report from McKinsey estimates that the strategic business shift to DTC has been accelerated by two years because of the pandemic and argues that consumer brands that want to thrive will need to aim for a 20% DTC business or higher, which is already taking shape in the market: Nike’s direct digital channels are on track to make up 21.5% of the total business by the end of 2021, up from 15.5% in the last fiscal year, and Adidas is aiming for 50% DTC by 2025. But outside of the clear revenue upside, the auxiliary benefits of going DTC are robust.

Benefits of Going DTC.jpg
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For Constellation Brands, each of these four pillars ring true, and our shift toward DTC is as much about margin accretion and revenue mix management as it is about consumer insights and data. The added complexities of the alcohol space add wrinkles to our DTC approach and manifest in many areas like consumer shopping preference, shipping and logistics hurdles, and more. In order to win share early and continue to lead the category, we recognized the need to harness the immense amount of first-party data to power impactful and actionable insights. 

Our DTC technology architecture has fostered a value chain that is completely digitized: website traffic, marketing expenditures, tasting room transactions, e-commerce transactions, logistics and fulfillment events, cost of goods sold (COGS) and margin profiles, etc. are recorded and stored in a data warehouse in real time.  For the first time, at any given moment, we can easily and deterministically answer complex business questions like “what is the age and gender distribution of my customers from Los Angeles who have purchased SKU X from Brand.com Y in the last 6 months? What is the cohort net promoter score? Did that increase after we introduced same-day shipping in this zip code? By how much?” 

The ability to answer these questions and understand the root causes allows us to stay nimble with product offerings and iterate marketing strategies at the speed of consumer preference. Further, it enables us to optimize our omnichannel presence in the same manner by leaning on DTC consumer insights to develop valuable strategies with key wholesale distribution partners and 3-Tier eCommerce partners like Drizly and Instacart. At its core, Constellation’s DTC practice is designed to be the consumer-centric “tip-of-the-spear” responsible for generating insights from which all sales channels, including wholesale, can benefit. 

Constellation’s DTC technology approach prioritizes consumer-centricity and insights generation

We have taken a modern approach to building a digital commerce technology stack, leveraging a hub-and-spoke model built around Shopify Plus and other key emergent technology providers like email provider Klaviyo, loyalty platform Yotpo, Net Promoter Score measurer Delighted, Customer Service module Gorgias, payments processor Stripe, event reservations platform Tock, and many more. For digital marketing and analytics, we use Google Cloud and Google Marketing Platform, which includes products like Analytics 360Tag Manager 360, and Search Ads 360.

To help gather, organize, and store all of the inbound data from the ecosystem, we partnered with SoundCommerce, a data processing platform for eCommerce businesses. Together with SoundCommerce, we are able to automate data ingestion from all endpoints into a central data warehouse in Google BigQuery. With BigQuery, our data team is able to break data silos and quickly analyze large volumes of data that help unlock actionable insights about our business.  BigQuery itself allows for out-of-the-box predictive analytics using SQL via BigQuery ML, and a key differentiator for us is that all Google Marketing Platform data is natively accessible for analysis within BigQuery. 

But data possession only addresses half of the opportunity: we needed a powerful and modern business intelligence platform to help make sense of the vast amounts of data flowing into the system. Core to the search was to find a partner that approached BI in a way that fit with our future-looking strategy.

Our DTC team relies on the accurate measurement of variable metrics like Customer Acquisition Cost (CAC), Customer Lifetime Value (CLV), Churn, and Net Promoter Score (NPS) as a bellwether of the health of the business and monitoring these figures on a daily basis is paramount to success. To enable us to keep an accurate pulse on strategic KPIs, we considered several incumbent BI platforms. Ultimately we selected Google Cloud’s Looker for a range of benefits that separated it from the rest of the pack.

Looker DTC.jpg
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From a vision perspective, in this particular case we felt Looker was most aligned with our belief that better decisions are made when everyone has access to accurate, up-to-date information. Looker allows us to realize that vision by surfacing data in a simple web-based interface that empowers everyone to take action with real-time data on critical commercial activities. Furthermore, Looker’s ability to automate and distribute formatted modules to a myriad of stakeholders on a regular cadence increases data literacy and business performance transparency.

From a product perspective, we chose Looker for it’s cloud offering, web-based interface, and  centralized, agile modeling layer that creates a trusted environment for all users to confidently interact with data — without any actual data extraction. While other BI tools have centralized semantic layers that require skilled IT resources, we’ve experienced that those can lead to bottlenecks and limited agility. With Looker’s semantic layer, LookML, our BI Team, led by Peter Donald, can easily build upon their SQL knowledge to add both a high degree of control as well as flexibility to our data model.  The fully browser-based development environment allows the data team to rapidly develop, test, and deploy code and is backed by robust and seamless Git source code management. 

In parallel, LookML empowers  business users to collaborate without the need for advanced SQL knowledge. Our data team curates interactive data experiences with Looker to help scale access and adoption. Business users can explore ad hoc analysis, create dashboards, and develop custom data experiences in the web-based environment to get the answers they need without relying on IT resources each time they have a new question, while also maintaining the confidence that the underlying data will always be accurate. This helps us meet our primary goal of providing all businesses users with the data access they need to monitor the pulse of key metrics in near real-time.

Impact and future of DTC BI at Constellation

Impact and future of DTC BI at Constellation.jpg

In short order, taking a modern and integrated approach to the DTC technology stack has delivered economic impact across the portfolio, helping our team understand and combat customer churn, increase conversion rates, and optimize the customer acquisition cost (CAC) and customer lifetime value (CLV) ratios. Perhaps most important is the benefit it can provide to the customer base. Mining customer data and consumer behavior generates data into what our customers are seeking, giving us insights to supply more, or less of it. For example, observing sales velocity and conversion rates by SKU or by region can help us better understand changes in customer taste profiles and fluctuations in demand, providing the foundation for a more powerful innovation pipeline and more effective sales and distribution tactics in wholesale. Our team has also been an early pilot tester for Looker’s new integration with Customer Match, which contributes to the virtuous cycle between data insight and data activation. In the future, our plan is to leverage this cycle to amplify the impact of Google Ads across Search, Shopping, and YouTube placements for the wine and spirits portfolio. 

The operational impact of Looker is also substantial: our team estimates that the number of hours needed to reach critical business decisions has been reduced by nearly 60%, boosting productivity and accelerating the daily operating rhythm. A thoughtfully curated technology stack together with a modern BI solution allows us to stay at the vanguard of the industry. While the DTC sales channel is not designed to surpass the core business of wholesale for Constellation in terms of size, the approach enables unparalleled insights and measurement abilities that will pay dividends for the entire business for years to come.

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