SHOPPING 2036 (4): HOW NEW TECHNOLOGIES CHANGE THE FUTURE OF SHOPPING

Or: Trade becomes a personal assistant

The fourth part of the QVC study “Shopping 2036 (4)” is devoted to economical and cost-effective shopping and shows how new, innovative technologies will help in the future (the third part here).

Leisure time becomes a scarce good

We already know today and experience it in the daily life. Working hours aren’t over after eight hours. Even in our free time, we are available via mobile phones, working from the couch or are also online during the weekend. So, the border between free time and working hours blur more and more.

Because already today free time has become a luxury good. Everything has to be reorganised, which restricts the leisure time, as for example. shopping. Efficient and fast shopping is required. Because long queues at the checkout in the supermarket, the search for items on the shelves or queuing up at the meat, fish or cheese counter frightens people off because they think it’s a reduction of their free time.

Saving whilst shopping in 2036

Nowadays, shopping in supermarkets is still very popular. However, it won’t be in the near future. We will still need the products for the daily needs. Though, these products will be delivered by an automated re-order to your house. Or we use intelligent devices that do the shopping for us.

New technologies offer shopping-advantages


Amazon Dash or Alexa impressively show us how this can already be done nowadays. Just one push on the button and the washing detergent is re-ordered. Or:  Re-ordering marmalade, butter and beer via Amazon’s Alexa simply by voice-command. Furthermore, today you will also find devices, that recognises when the “Operating means” run down and then trigger the reordering independently, as for example. Printer cartridges for printers.

 

 

Other technologies are applied to products equipped with an NFC (Near Field Communication) chip. The chip is read out via the mobile phone, in order to display a website on the mobile telephone. There, accessories and products – such as coffee capsules, shampoo, detergents, diapers, etc. – can be ordered. Further possibilities arise in the display of recipes, preparation tips or also simply instructions for use on the mobile phone.

Avatars and Voice-recognition are rising

Bots and avatars are able to take away many of the tasks described above. Furthermore, they can also offer personal attention. Chatbots ask questions about product selection and make suggestions. A student says, “An avatar that tries for me would be a real relief”.

What else can the customers expect from shopping in 2036?

Predictive Analytics, Cognitive Commerce, Predictive Demand, and Dynamic Pricing are the keywords:

  • By analysing the purchasing habits, software and artificial intelligence can be used to predict which products will be bought and demanded (Predictive Analytics).
  • Purchasing intentions and customer requirements can be acquired and processed using intelligent speech systems (cognitive commerce).
  • On the basis of environmental data such as weather, time of day and historical data, queries can be determined and corresponding prices can be controlled (Predictive Demand and Dynamic Pricing).

Customer behaviour is constantly analysed

The above procedures only work when the customer behaviour is comprehensively and consistently analysed. The evaluation then reveals what is next to buy, which products could be interesting for the customer and many more. However, many customers are no longer frightened by this. The benefits of saving time and money prevail, so that the willingness to surrender data from itself.

Some selected study results

  • 49% of the men state that they are willing to disclose personal data when you get 100% products.
  • A fast and uncomplicated shopping process is important for 70% of the study participants.

Studienergebnisse

Will there be a complete automatization?

The Generation Y (born 1985 to 2000) assesses the full automation of everyday products as a realistic future perspective. For example, the intelligent refrigerator orders products that are running out or are being used up autonomously.

How this might look is shown in the following video:

You go to the supermarket but have no idea what kind of food you need? The salami is rotten because you did not have the use-by date in your head? The intelligent refrigerator thinks for you. Or a refrigerator, which suggests his owner what he could cook from the supplies. A refrigerator that warns its owner in time when milk or butter runs out.

What is the age of the participants in the study?

QVC-Studienteilnehmer

The series

In the last weeks other parts of “shopping 2036” have been published:

Images, Video: StocSnap.io, QVC, Vimeo (In my Fridge from Fabian Kreuzer)

 

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