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Transcript of Retail personalization

Storyboard | Empowering Retail

Enabling Personal and Relevant EngagementShiShWorldwide Director, Analytics & IoT, Retail Sector, Microsoft CorpMachine Learning & Retail

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Slide Notes:

Microsoft in the Enterprise 2015 Microsoft Corporation. This presentation is for informational purposes only. MICROSOFT MAKES NO WARRANTIES, EXPRESS OR IMPLIED, IN THIS SUMMARY.

What product is Joe most likely to buy?

Will Sarah come back to shop with us next month?

What advertising would be most effective to get Johans attention?

Listening to the voice of the customer

On the left is forecast from an electronics retailer. In 1999, the retailer wanted to determine what products to continue investing in and what products to stop investments for. This chart shows two of the categories: film cameras and digital cameras. The chart on the left shows the result of regression for forecasting sales over the next few years. The chart on the right shows what actually happened. This is one of the examples indicating that no amount of large volumes of data can help predict the future if it is proprietary data. Gartner talks about the 3 Ps of Data: Proprietary, public and purchased. When combined with external data, you can get a better picture of what customers want. Microsoft Convergence 2015 2015 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.2/16/2016 11:40 AM5Slide Notes:

Microsoft in the Enterprise 2015 Microsoft Corporation. This presentation is for informational purposes only. MICROSOFT MAKES NO WARRANTIES, EXPRESS OR IMPLIED, IN THIS SUMMARY.

Retail has a multitude of devices that generate petabytes of potential insights

Monitoring and mining social media data enables retailers to enhance customer insights

Open data sources and internal sources enable retailers to better understand customersDemocratization of data

In the retail ecosystem, we have devices in the store for RFID, NFC, Bluetooth, Wireless data, Video Analytics, POS data, Kinect in the Store collecting huge amount of data on a daily basis. This information can be stored by retailers and used for analyzing customer behavior, predicting demand, assortment, store and shelf layout, upselling, customer recommendations, web page personalization, delivering personalized ads. There is an unprecedented amount of data about people, places, products, companies, brands, and pretty much anything we can think of. Companies that can mine this treasure trove of data and glean insights to gain a huge competitive advantageISU4U 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.2/16/2016 11:40 AM6Slide Notes:

Microsoft in the Enterprise 2015 Microsoft Corporation. This presentation is for informational purposes only. MICROSOFT MAKES NO WARRANTIES, EXPRESS OR IMPLIED, IN THIS SUMMARY.

Cortana AnalyticsInformation ManagementBig Data StoresMachine Learning & AnalyticsVisualization

Democratization of Tools

The Cortana analytics suite provides information management, big data stores, machine learning and analytics tools, and visualization options to extract value from data. Theres a host of technologies to fill each of these roles.

Cortana Analytics and Healthcare2/16/2016 2015 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.7Slide Notes:

Microsoft in the Enterprise 2015 Microsoft Corporation. This presentation is for informational purposes only. MICROSOFT MAKES NO WARRANTIES, EXPRESS OR IMPLIED, IN THIS SUMMARY.

Machine Learning

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Microsoft in the Enterprise 2015 Microsoft Corporation. This presentation is for informational purposes only. MICROSOFT MAKES NO WARRANTIES, EXPRESS OR IMPLIED, IN THIS SUMMARY.

Put customers first with technology that learns, predicts, and engages at a personal level

Predict what customers want before they tell youEngage with customers at the right time, right place with the right offersPersonalize the customer experience across channelsImprove loyalty, "share of wallet" through hyper-local assortments and inventory

2014 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.2/16/2016 11:40 AM10Slide Notes:

Microsoft in the Enterprise 2015 Microsoft Corporation. This presentation is for informational purposes only. MICROSOFT MAKES NO WARRANTIES, EXPRESS OR IMPLIED, IN THIS SUMMARY.

Foodservice retailer built brand loyalty with a cloud-based mobile app

Challenge Improve relationships with customers.Build upon a successful brand app to reach more customers.Generate upsales and cross-sales.StrategyAdded an analysis and insights system based on Microsoft Azure.Gathered data on customers behaviors and preferences through their app use.ResultsExpanded app use to millions of customers in five countries.Enabled personal, relevant, contextual content that adds value for the users.Improved customer loyalty.

Key points: Customer profile: McDonald's is the leading global foodservice retailer with more than 36,000 local restaurants serving approximately 69 million people in more than 100 countries each day. Over 1.9 million people work for McDonalds and its franchisees, which comprise 80% of the restaurants. http://www.mcdonalds.com Challenge: McDonalds Sweden developed a brand app that allows each market to publish new content daily to fit its needs, from marketing campaigns for new products to product vouchers that generate footfall and upsales, as well as other functions and tools. McDonalds wanted to build upon the successful app to further improve relationships with its customers.Strategy: McDonalds could trace their customers through all of its digital platforms through the personal IDs used to register for the app. Now, the company added an analysis and insights system from VMob, based on the Microsoft Azure cloud platform. This combination allowed McDonalds to gather information about its customers, such as their preferences, favorite restaurants, and voucher redemption history, and convert it into useful insights that enable targeted marketing messaging.Results: The McDonalds app has become a mobile brand platform, serving digital experiences to millions of users in five countriesSweden, Norway, Finland, Denmark, and the UK. The platform enables McDonalds to provide personal, relevant, and contextual content, such as adding vouchers matching a users buying habits to new product messages based on the users menu-browsing habits. The personal value offered by the app encourages customers to continue using the app, building loyalty and better relationships.

Additional information: https://vimeo.com/vmobglobal/review/116804866/3d8b1acad0

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Microsoft in the Enterprise 2015 Microsoft Corporation. This presentation is for informational purposes only. MICROSOFT MAKES NO WARRANTIES, EXPRESS OR IMPLIED, IN THIS SUMMARY.

Demo

Key points: Customer profile: McDonald's is the leading global foodservice retailer with more than 36,000 local restaurants serving approximately 69 million people in more than 100 countries each day. Over 1.9 million people work for McDonalds and its franchisees, which comprise 80% of the restaurants. http://www.mcdonalds.com Challenge: McDonalds Sweden developed a brand app that allows each market to publish new content daily to fit its needs, from marketing campaigns for new products to product vouchers that generate footfall and upsales, as well as other functions and tools. McDonalds wanted to build upon the successful app to further improve relationships with its customers.Strategy: McDonalds could trace their customers through all of its digital platforms through the personal IDs used to register for the app. Now, the company added an analysis and insights system from VMob, based on the Microsoft Azure cloud platform. This combination allowed McDonalds to gather information about its customers, such as their preferences, favorite restaurants, and voucher redemption history, and convert it into useful insights that enable targeted marketing messaging.Results: The McDonalds app has become a mobile brand platform, serving digital experiences to millions of users in five countriesSweden, Norway, Finland, Denmark, and the UK. The platform enables McDonalds to provide personal, relevant, and contextual content, such as adding vouchers ma