What Machine Learning Can Do For Retailers Today

| Paul Mandeville

At its simplest, machine learning (ML) refers to the capacity for a program to automatically improve, or “learn,” as it ingests data to accomplish a specific task or set of tasks. Here are three ways retailers can use machine learning to their benefit.

8 Steps to Successful Analytics for Retail Marketers

| Jeff Hassemer

In the highly competitive retail marketplace, there is always a need to try and stay one step ahead of your competitors. Here are eight steps to take to breakdown the silos of data and gain better insights into their customer’s behaviors.

Why Ecommerce is Both a Burden and a Boon for Retailers

| Smadar Landau

Predictive analytics is increasingly being used to fine-tune marketing strategies by forecasting which products are most likely to be purchased by which customers, while also influencing buying behavior. It’s the power behind the suggestions of other items you may like when browsing or shopping online. Here’s how it can benefit your ecommerce business.

Loyalty Programs and Data Analytics

| Vinay Mony

Loyalty programs have been a win for many retailers, but today it seems that while some are utilizing it to the full potential, others consider it unnecessary. Take a look at how loyalty programs and data analytics are playing a role in the future of capturing the customer.

5 Analytics-Driven Strategies to Meet Holiday Shopper Expectations

| Nick Leeper

To satisfy consumer demand and expectations this holiday season, retailers must determine what the customer wants, when they want it, to make it available via the channel they want, at the exact moment they want it. Here are five strategies to meet your customer’s expectations this holiday season.