The year is 2018, and you are going to an event. Luckily your programmable personal assistant has prepared the transport and outfit for you already.

You step into the driverless car, and with a quick eye scan, the car knows where to take you. Upon arrival, you are automatically charged for the trip and proceed to the registration area. Another eye scan and a pop-up notification appears on your phone with your personalized agenda and suggestions of seminars you might be interested in attending based on previous attendance.

You enter the networking area and another pop-up notification appears on your smart phone, suggesting contacts to greet that would be of interest to your business. You start talking to the other delegates, with a quick swipe on your phone, your business card and LinkedIn connection is transferred to the other delegate. The seminars start, and you are able to follow the presentation on your mobile device, take notes, interact with the panel and send in your questions.

It is time for lunch and a small robot appears with your favourite dish.

After the event, you are taken home by the driverless car. On your mobile device, you have already received your personal notes from the seminar, suggestions on upcoming events that might be of interest for you and a personalized summary of the content you showed the most interest in.

The above scenario is not such a distant reality. The more technologies continue to evolve, and devices become connected, the more data intelligence can help retailers understand what customers want, when they want it, and how they want it delivered