AI Promises and Potential in Retail

Major advancements as well in computer vision, deep learning, and natural language processing have made it easier than ever to bake an AI algorithm layer into your software or cloud platform. But just because you can deploy AI/ML, doesn't mean you should.

Where do you start?  What are the best practices?  What are the real case studies and results? And what are the prerequisites to deploying this technology right?  That is the topic of this free research paper from IHL Group.



What Makes a Superior BOPIS Online Experience

Earlier this year we did the rankings of top retailers in our BOPIS State of the Industry Report.  This new  white paper goes deeper into the details around what makes the online experience for BOPIS superior.  

The report also ranks the experiences at 10 of the largest retailers that came as the result of 300 Secret Shoppers doing transactions.  There are clear areas of impact.  Download this free research white paper to see the rankings and results.



WEBINAR: AI Promises, Potential and Pitfalls in Retail
Wednesday July 31st, 2pm EST

AI and Machine Learning have great potential in retail in both customer facing situations as well as in operations. Join IHL President Greg Buzek as we discuss where to start in your AI projects, best practices, active case studies and results, and pitfalls to avoid when looking to apply AI/ML in your environment.

There is a lot of hype and buzz around this technology and rightfully so, but there are clear guidelines that each retailer must follow to achieve real results for the business and avoid ongoing science experiments.