Modly - Customise furniture with parametric design for a perfect fit

We live in a customisation economy. Mass production is out, mass customisation is in. One size doesn't fit all anymore. Still, there is no easy way to order customised furnitures.

We want to welcome and include the consumer into the development of the piece of furniture they are looking for, in an easy way. Hence, product customisation - The altering of a product to better suit a customer’s need or desire.

By making use of new technology and expertise within parametric design*, we believe that we can create a new offer towards the furniture industry, an industry still not fully embracing the technology revolution. Designers setting the parameters, consumers making the modifications.

No need for any middlemen, ware house, inventory or stores. All our production will be based on individual orders of customised furnitures and sent directly from production to the consumer. Taking the number of stakeholders within the value chain to a minimun.

Transparency and sustainability

Parametric design enables us to maximise the use of resources in production and the same raw material can be utilised for multiple orders thanks to advanced algorithms

We want to be 100 % transparent about our business, where the money goes, how much profit we make from every order, how much costs there is to it, where the raw material comes from, where we produce our furnitures and how we compensate twice as much as we take from mother nature.

Statistics and research that supports our business idea

• 25-30 % of Americans have purchased personalised products/services**
• There's a core group of consumers that are dissatisfied with the offer "one size fits all"**
• Global online furniture and homewares revenues will reach US$220 billion in 2020**
• Great growth in consumers willing to pay more for customised furniture**
• Continuous growth of demand for sustainable products and alternatives**

*Parametric design is a process based on algorithmic thinking that enables the expression of parameters and rules that, together, define, encode and clarify the relationship between design intent and design response.

** Nielsen, YouGov, Deloitte, Statista