AI Articles and Analysis about Marketing and advertising

High-frequency retail (HFR) segments, such as groceries and drug stores, have ongoing challenges with profit margin - with grocery margins nearing 1% on average, according to an analyst from market research firm IBISWorld.

Episode summary: This week on AI in Industry, we speak to Rana el Kaliouby, Co-founder and CEO of Affectiva about how machine vision can be applied to detecting human emotion - and the business value of emotionally aware machines.

In early 2017, Amazon unveiled a new application of AI outside its online domain: Amazon Go, an artificial intelligence (AI)-powered grocery where there are no cashiers and checkout lines. Shoppers activate the store’s smartphone app upon entering the store, grab the items they need, and leave through the same “gates” they enter without pausing to pull out a credit card or cash. Their Amazon account is automatically charged for what they take.

Episode summary: In this episode of AI in Industry, we speak with Khalifeh Al Jadda, Lead Data Scientist at CareerBuilder, about the applications of machine learning in improving a user’s search experience.

Just as chatbots are being created for consumers in the hospitality and fast-food industries, technology companies are also serving those restaurants that wish to take advantage of this emerging technology to better their customer service and maximize their productivity—and profitability.

Despite the emergence of chat apps and social media over the past decades, email has continued to thrive. A 2017 study from Radicati marketing research claimed that email accounts were expected to reach 4,920 million by the end of 2017, a number that has not changed much since 2013, and that about 100 billion business emails are sent daily.

Episode summary:  In this episode of AI in Industry we speak with Abhi Yadav, the CEO of ZyloTech, a Boston-based customer analytics platform for omni-channel marketing operations. Abhi talks about what's possible now with AI for marketing personalization, and what will be possible in the next 5 years.

Episode Summary: Natural Language Processing (NLP) can be applied to tasks such as customer service handling or in chatbots to answer fact based questions. Another emerging application for NLP is in content marketing and content production.