Mass Customization

Does it scale, mass customization or how do we create the next unicorn?

What do Thin Lizzy and this sentence from the title “Does it scale” have in common?

Every American’s dream is to develop “the” business model. One of the first people who demonstrably implemented this sentence was Henry Ford. The car pioneer was one of the inventors of assembly line work or production. This made mass production possible.

Today, the end customer sees this in practically every restaurant. A limited, clearly defined product selection. A few standards as “bestsellers”. Nevertheless, a large part of mass customization is possible due to the choice – especially the feeling for the customer to have the choice is important . And from order to delivery it is (mostly) fast.

Even today, Americans are famous for standardizing everything. Whether it’s tax consulting, cars, gastronomy, advertising on Facebook or LinkedIn, Netflix, Amazon, Apple, they all live very well from the fact that a simple business model is extremely scalable – and can be bought by a large number of consumers.

The business model is perfected with the subscription option. This makes it simple, fast, durable and scalable.

Therefore, the question of all questions, as Sarah Cooper put it in a nutshell: Does it scale?

PS:

Do you know why you are often asked for the name when ordering?

You probably think because of the later assignment of your order. Also. If you enter this restaurant more often, the staff will know you by name and possibly already know your preferences. So you get a personalization and individualization – with a personal touch.

The founder of Starbucks has asked his employees to know about 200 customers by name. 200 names is about the number that a person can easily remember. How many of your customers do you know by name and know their preferences?

Also interesting: 2 new unicorns on the CRM/MarTech software market: Lighttricks and Monday

 

Note: This is a machine translation. It is neither 100% complete nor 100% correct. We can therefore not guarantee the result.

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