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.
insideAI News Special Report: Reinventing the Retail Industry through Machine and Deep Learning (Part 4)
The insideAI News 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.
insideAI News Special Report: Reinventing the Retail Industry through Machine and Deep Learning (Part 3)
The insideAI News 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.
insideAI News Special Report: Reinventing the Retail Industry through Machine and Deep Learning (Part 2)
The insideAI News 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.
Amazon Go – Deep Learning Conquers Retail
“At the Amazon Go store, the checkout process is completely automated. Every time you take a product from a shelf, one of hundreds of small cameras located in the ceiling recognizes the item and places it in your virtual shopping cart. If you change your mind, no problem, you’re still being watched and the system will remove it from your cart once you put it back on the shelf. The deep learning technology is able to recognize every item in the store without any special tags like RFID chips.”