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Engage your customers

Put customers first with technology that engages at a personal level. Customers respond best to offers that are personal and relevant, leading to increased promotional effectiveness, higher conversion, and larger basket size. Personalization can be delivered through location-aware mobile devices, targeted email marketing, and personalized online shopping. Microsoft offers solutions to collect and understand customer behaviors and respond with offers and experiences that are personal, engaging, and relevant.

Solutions

Advanced planning

Enable buyers to improve merchandise profitability in an increasingly competitive digital marketplace. The Microsoft Advanced Planning solution provides an analytics and visualization platform that allows buyers to make optimal purchase decisions that drive product profitability, complementing existing inventory control systems, while delivering state of the art near-real time capability.

Explore partner solutions from Genetec about Advanced planning

Power BI turns industry data into smart decisions

Browse our industry solutions to see how Power BI makes it easy to combine your data, find new insights, and share them with others.

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Unified Commerce

Empower your teams with the tools to deliver relevant, connected, measurable brand experiences across all channels resulting in consistent communications and positive interactions that will win new customers and strengthen brand loyalty.

Upcoming Events

Win at the Shelf by Taking Retail Execution to New…

Win at the shelf, join the on demand webinar

1

January 01 – March 31

Thank you for joining us @ NRF’s BIG Show 2017

Get updated on all the news and stories from Microsoft

15

January 15 – January 17

How to thrive in today’s competitive retail environment

From new mobile apps and innovations such as beacons and smart shelves, to intelligent solutions that empower more personal, connected and smarter shopping experiences, the…

31

January 31 – March 31

Top 5 Strategies in Retail Data Analytics

Join Eric and Shish as we explore the trends, drivers and hurdles in retail data analytics

22

February 22 – February 22

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