Who is this document for?
This guide is written for professionals in retail organizations in a variety of verticals who are involved with retail technology solutions. This may include senior executives, information technology, merchants, finance, and more.
What will I learn about?
The ever-mounting pressure retailers face to adapt to evolving trends in customer behavior has led to an amplified interest in analytics and artificial intelligence (AI). From chatbots to recommendation engines, a new suite of intelligent tools is making it easier for consumers to connect with brands and make more informed shopping decisions. As such, it has become mandatory for retailers to use similarly intelligent, AI-enabled tools and systems to best serve their customers: from smarter purchasing, allocation, replenishment, and pricing decisions to more personalized customer engagement tools.
In this exclusive guide, you will learn about:
- how your organization scores on the analytics maturity model
- the most common retail analytics myths
- the evolution of analytics
- benefits of prescriptive analytics
- and much more.
