The point of sale (POS) is the place where customers are already fundamentally purchase inclined, which is the best possible starting position for the generation of revenue. But what’s true elsewhere is also a fact here: nothing just works on its own. How can POS sales be optimized? How can you motivate customers to spontaneous purchases? And how do you make regulars out of occasional customers? You pull some retail concepts out of mothballs and let yourself be inspired by established methods.
Will AI-driven cars save the roads from a total gridlock? Can artificial intelligence help live a more resource-efficient life? Will artificial intelligence make the supply of energy easy to achieve? We provide insight into seven AI and the environment questions.
First, there was artificial intelligence, then the terms machine learning and deep learning followed. And now there is cognitive computing. What’s so special about this new concept? Is it just a new buzzword from the IT scene that can be exploited for marketing purposes? Or is it a new approach that brings machines one step closer to human thinking?
The world of fairy tales should be a matter of movies and books, but when it comes to artificial intelligence, dubious “AI” companies and ill-informed bloggers become veritable fabulists. The truth is that AI will change the working world, but many statements about artificial intelligence definitely belong in the realm of myths and fairy tales.
The term Mystery Shopping describes a method of testing the quality of services in which previously trained persons act as normal customers. These “normal customers” then evaluate the quality of the experienced service based on defined criteria. Testers can be amateurs in the field of services, but also experts. As a rule, test buyers are placed by agencies specializing in this field. Less often, the company management itself selects test customers to evaluate the services.
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