Sales Effectiveness in Microsoft Dynamics CRM with Azure IoT and Machine Learning, Part I

February 2 2017

How can an organization optimize its sales channels and product targeting by building a 365-degree view of its customers in Dynamics CRM? The answer, and topic of this article, is with the help of Azure IoT and Azure Machine Learning services.

Sales effectiveness

The use case described in this article is the promotion of best-fit products to consumers, in this instance, active cosmetics. The objective is to optimize stock availability among street distributors according to predicted demand, using detailed profiles of consumers. 

About Stefano Tempesta

Stefano Tempesta is CTO at SXiQ, a Microsoft Regional Director, MVP on Azure, AI and Business Applications, and co-founder of 365 Community, a non-profit organization whose mission is to empower communities around the world with better ICT processes for customer relationship management (CRM) and customer service, using modern technology.
A technology manager with 20 years of international experience, entrepreneur CTO and advisor for start-ups in Australia, Singapore and Switzerland, Stefano is an author, a public speaker, a blogger, an event organizer and an ambassador of beautiful software. His interests extend to microservice architectures, blockchain, IoT and A.I. related technologies.

More about Stefano Tempesta

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