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The Future of AI in Retail: Fueling Change for the Industry

In this special guest feature, Matt Field, President and Co-Founder of MakerSights, says there’s no denying that AI and ML are starting to change the nature of the retail industry. One of its greatest benefits will be in how intelligent automation can be used by humans to augment their jobs. Embracing AI and ML and incorporating this with human intuition to predict, create and manage consumer preferences can help retailers increase their bottom line while meeting modern consumer expectations for personalized, on-trend and convenient products.

Are B2B Marketers Leaving Money on the Table by Ignoring B2C Data?

In this contributed article, Collin Dayley, Senior Vice President Sales and Strategic Partnerships at Versium, suggests that typically, B2B data focuses on role, and firmographic information. While B2C data can reveal information providing clues to the emotional reasons and process your customers use when making buying decisions. By combining both B2C and B2B data, marketers can develop more relevant content and experiences that meet individual buyer needs. This is proven to increase the ability to contact and engage B2B buyers.

How Predictive Analytics Is Being Used in Inventory Management

In this contributed article, technology writer and blogger Kayla Matthews suggests that when companies depend on predictive analytics platforms for inventory management, they can avoid pitfalls and succeed in demanding marketplaces. The lack of effective inventory management practices can lead to upset customers, plunging profits and productivity losses. Fortunately, technology offers assistance in ways that weren’t possible in earlier eras.

CrowdANALYTIX Launches dataX Moderator App to Flag Objectionable Halloween Costumes

CrowdANALYTIX, creator of dataX.ai, an AI-driven platform that auto-creates context-aware product attributes and meta tags for retailers and brands, announced the launch of its new application, dataX Moderator. With the Halloween celebration just a few weeks away, this powerful new app helps retailers maintain stricter checks and balances on their clothing lines, to avoid unintended offensiveness and inappropriateness.

Demand Forecasting Mistakes in the Retail Industry

In this special guest feature, Aaron Hoffer, Lead Data Scientist for Alloy, discusses common problems he has seen in forecasting processes, and the importance of focusing on “true demand.”

How Retail Can Thrive Using AI as ‘The Human Touch’

In this special guest feature, Shana Pilewski, Head of Content at Dynamic Yield, takes a look at retail coupled with the benefits and challenges with adopting today’s leading technologies like AI and machine learning. Specifically, the key to humanizing experiences and influencing action is to treat each outcome as unique and dynamically respond to each customer individually, a feat which can only be scaled with machine learning.

Data Science: Why Retail Will Reap the Biggest Rewards

In this special guest feature, Sarah Kampman, VP of Product at Square Root, discusses why retail is positioned to reap the biggest benefits of data analytics today. Sarah shares why machine learning and AI may be the secret weapon to solving for the the challenge of operating hundreds — even thousands — of disparate store locations, and how the approaches can be used to drive store performance, increase alignment and impact decision making at every level of a retail org.

The Devil’s in the Data: Why Optimizing In-Store Marketing Spend is Critical to CPG and Retail Success

In this special guest feature, John Weller, Chief Knowledge Officer and Co-Founder of T-Pro Solutions, discusses how in-store marketers can optimize the data from their spreadsheets and use key analytics to stay ahead of industry trends.

insideBIGDATA Special Report: Reinventing the Retail Industry through Machine and Deep Learning (Part 4)

The insideBIGDATA Special Report: Reinventing the Retail Industry through Machine and Deep Learning white paper explores how AI, machine learning and deep learning are transforming the retail industry in many positive directions. As artificial neural networks become more and more efficient, and as graphics processing units (GPUs) get more and more powerful, so does their influence on retail.

insideBIGDATA Special Report: Reinventing the Retail Industry through Machine and Deep Learning (Part 3)

The insideBIGDATA Special Report: Reinventing the Retail Industry through Machine and Deep Learning white paper explores how AI, machine learning and deep learning are transforming the retail industry in many positive directions. As artificial neural networks become more and more efficient, and as graphics processing units (GPUs) get more and more powerful, so does their influence on retail.