Sainsbury’s Uses AI to Figure Out How the World Eats
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Retail will forever be an industry that must constantly reinvent itself in response to, and anticipation of, ever-changing consumer demands.
Digital transformation is fueling these changes and we’ve previously spoken about how businesses including Ulta Beauty and Kohl’s are taking advantage of Google Cloud to put data at the center of what they do and deliver the best possible shopping experience and product offerings for their customers.
Leveraging Google Cloud machine learning platform, Sainsbury is able to develop predictive analytics models to spot trends and adjust inventory, providing shoppers with a better experience.
Sainsbury’s, one of Britain’s best-known supermarkets, is another great example of a business transforming the way it engages with its customers with the cloud.
With over 150 years of service, Sainsbury’s vision is to be the most trusted retailer, where people love to work and shop. It makes customers’ lives easier, by offering great quality and service at fair prices.
The food industry and the way that customers shop is rapidly changing. From foodie hashtags on Instagram, to the latest cooking fads, customers want to stay connected to the latest trends and Sainsbury’s is empowering them do that.
To help Sainsbury’s achieve this goal, its Commercial and Technology teams, in partnership with Accenture, are building cutting-edge machine learning solutions on Google Cloud Platform (GCP) to provide new insights on what customers want and the trends driving their eating habits.
With the help of Google Cloud Platform, we are generating new insights into how the world eats and lives, to help us stay ahead of market trends and provide an even better shopping experience for our customers.
–Phil Jordan, Group CIO, Sainsbury’s
Sainsbury’s solution relies on data from multiple structured and unstructured sources. Using Google Cloud’s powerful cloud-based analytics tools to ingest, clean and classify that data, and a custom-built front-end interface for internal users to seamlessly navigate through a variety of filters and categories, Sainsbury’s is able to gain advanced insights in real time.
As a result, Sainsbury’s has been able to develop predictive analytics models to spot trends and adjust inventory, providing shoppers with a better experience.
Phil Jordan, Group CIO of Sainsbury’s believes this project will have a big impact.
“The grocery market continues to change rapidly. We know our customers want high quality at great value and that finding innovative and distinctive products is increasingly important to them. With the help of Google Cloud Platform, we are generating new insights into how the world eats and lives, to help us stay ahead of market trends and provide an even better shopping experience for our customers.”
This project is also a great example of the successes Google Cloud customers have when they work with the company’s partners.
“We’re delighted to partner with Google Cloud to help the Sainsbury’s Commercial team apply predictive analytics to the identification of new and emerging trends in grocery,” says Adrian Bertschinger, Managing Director for Retail, Accenture.
“The food sector is experiencing significant, rapid disruption, and this new, cloud-based insights platform will help Sainsbury’s identify trends much earlier and adapt their product assortment in a faster, more informed way—all for the benefit of customers.”
Whatever the next food or shopping trend may be, Sainsbury’s is looking to the cloud to help them stay a step ahead.
ESG Report: Economic Advantages of Google BigQuery OnDemand Serverless Analytics
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Traditional big data solutions require a significant upfront investment, ongoing maintenance of hardware and software, and manual provisioning to match compute and storage resources with demand. Google’s serverless analytics warehouse does away with all that extra work, helping businesses focus on what matters most: getting value from their data.
Enterprise Strategy Group (ESG), which examined the economic value propositions of Google BigQuery and alternative big data solutions, reports that BigQuery enables organizations to:
- Save up to 88 percent on data warehousing over a three-year period
- Achieve a faster time to value by getting up and running quickly
- Empower more employees to become citizen data scientists
Eliminate maintenance tasks so teams can spend more time gaining insights
Download the complete report to learn more.
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How adidas’s Marketing Team Benefits from Google Cloud Marketing Platform
We live in a world where the consumer journey is no longer linear, making it difficult to know when to deliver a brand message or a product message.
“We talk a lot about the consumer journey no longer being linear. It’s very difficult to know when the consumer is going to come in contact with your message. And because of that it makes it much harder to deliver the right message at the right time,” says Chris Murphy, Head of Digital Experience, adidas.
To solve the problem, adidas turned to the Google Cloud Marketing Platform to use audience insights to inform the art of storytelling and help teams, from brand marketing to retail to e-commerce, deliver relevant messages across channels.
“In a singular environment like Google Cloud Marketing Platform, when you’re able to see audience insights and information…we know when someone should be receiving a brand message versus a product message — when they’re thinking about buying or when they’re actually ready to purchase,” says Murphy.
It wasn’t easy at the start. “Being in brand marketing for so long, there was this initial pushback on data and the science behind it, because it was an art. But what we’re seeing now is the ability for data and insights to really inform the art of storytelling. It allows us to understand the impact that we’re having in real time,” says Kelly Olmstead, VP, Brand Activation for North America, adidas.
Today adidas’ marketing team depends more heavily on data and analysis to guide its strategy. “Starting every meeting with data and insights, that’s something that we want to take outside of just the marketing organization, and really infuse it across our culture here at adidas,” says Olmstead.
Watch how adidas benefits from using the Google Cloud Marketing Platform.
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Satellites Can Help Map Carbon Emissions By Looking at Images of Power Plants!
Did you know that Satellites can now help track power plants and determine if they are on or off? And did also know that compute processing that classifies over 59 trillion bytes of data from over 11,000 sensors from 300 satellites is done on on Google Cloud?
Google Cloud’s sustainability initiatives along with its cutting-edge, powerful technology and products are leveraged worldwide by organizations, non-profits and governments to keep a check on greenhouse gas emissions and build self-reporting, power monitoring platforms. Climate TRACE, a collaborative data sharing project with 50+ organizations is dedicated towards this cause by building a visual and meaningful way on a web app. In this video you can learn how generate geo-spatial model that can view the images of power plants gathered from satellite called Sentinel-2 to assess emissions from power plants. Watch the video to learn Google Cloud’s vehement role in funding and staffing special initiatives with Googlers who are experts in AI/ML, UX, data analytics and more!
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Artificial intelligence and machine learning are already transforming the technological landscape. From digital assistants to image-recognition software to self-driving cars, what was once the stuff of science fiction is now becoming a reality. But what exactly does it mean for marketing and advertising executives?
It could get us closer to one of advertising’s most-sought goals: relevance at scale. Before then, we’re going to see changes to the way we do business.
Technological advances have always created new opportunities for storytelling and marketing. Just as the advent of TV brought an era of truly mass advertising and reach, and the internet and mobile brought a new level of targeting and context, AI will change how people interact with information, technology, brands, and services.
A big part of the opportunity for marketers is how AI will help us fully realize personalization—and relevance—at scale. With platforms like Search and YouTube reaching billions of people everyday, digital ad platforms finally can achieve communication at scale. This scale, combined with customization possible through AI, means we’ll soon be able to tailor campaigns to consumer intent in the moment. It will be like having a million planners in your pocket.
Find out how you can achieve relevance at scale. Download now!
How Domino’s Increased Monthly Revenue By 6% with Google Marketing Platform
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Pizza purveyor Domino’s is dominating delivery sales around the world. Today, Domino’s is the most popular pizza delivery chain operating in the U.K., the Republic of Ireland, Germany, and Switzerland — and sales just keep growing.
In these regions in 2014, Domino’s sold 76 million pizzas and generated £766.6 million (1.02 billion USD) in revenue — a 14.6% increase from the previous year.
In the U.K. and Ireland, online sales are increasing 30% year over year and currently account for almost 70% of all sales. Notably, 44% of those online sales are now made via mobile devices.
Multi-Device Purchasing Means Fresh Opportunities
Domino’s is a consistent digital innovator. Much of the company’s success stems from early investments in ecommerce and mobile commerce platforms that help people easily purchase pizzas from different devices.
Domino’s sold its first pizza online in 1999. It then launched an iPhone app in 2010, quickly followed by apps for Android and iPad in 2011, and a Windows app in 2012. By late 2014, Domino’s customers could even order pizzas from Xboxes.
The Domino’s marketing team had assembled a variety of tools to measure marketing performance, keeping pace with the company’s rapid innovations. Unfortunately, measuring siloed analytics and channel-focused tools restricted the team’s ability to fully understand all of the different paths to purchase.
Find out how they worked around this challenge with Google Marketing Platform. Download the case study!
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