Azure for Industry : Podcast
Hear about industry news, investments and updates and the latest relevant technologies.
SKU Assortment using AI with experts Neal Analytics
Product availability is a key ingredient to ensuring a great service experience. With consumers’ expectations of the ability to purchase products when, where and how they choose, both retailers and consumer goods companies must modernize their approach to managing and maximizing inventory to ensure shelves are fully stocked with the right balance of SKUs desired by consumers. In this episode, I am joined by 3 retail and consumer goods technology experts who talk with us today about how the retail and customer goods industry is using technology and transforming the way these industries are doing business.
In this episode we cover:
- The business and technologies of retailers and consumer goods
- Solutions created from that technology
- How Microsoft Azure helped
our Neal Analytics build a solution for their customers
- Explore the Retail and consumer goods use case: Inventory optimization through SKU assortment + machine learning
- Try out the Neal Analytics SKU Assortment Optimization solution
- Follow Neal Analytics on LinkedIn and Twitter.
Greg is VP of Alliances and Industry Strategy at Neal Analytics, a Seattle-based consulting firm and Microsoft partner that helps companies drive digital transformation through the application of machine learning and AI.
Follow Greg on LinkedIn.
David is the Director of Portfolio and Strategy at Neal Analytics, who defines and builds the business solutions like SKU Max.
Follow David on LinkedIn.
Mariya is a WW Industry Leader, Retail and Consumer Goods. She has more than 20 years of experience in retail leading strategies and initiatives across sales, operations, human resources, public relations, technology and product management.
Read Mariya's recent blog posts on how to address common retail and consumer goods use cases using Azure.
Check out the ways Azure can benefit your industry.
There was an error searching on those keywords. Try searching for different keywords.