Robot mannequins by Euveka set themselves apart from standard mannequins by being able to adapt to a wide range of body types to sell items in all sizes. This dynamic modelling solution makes it easy to test products on a variety of body shapes thanks to the Euveka solution and associated software. Thanks to the Mimeo software the robot dummy can be adapted—in less than 90 seconds—from one morphotype to another.
This phygital solution of connected mannequins supports the future of customer-friendly fashion, as well as more inclusive and environmentally friendly practices. With its robot mannequins, the company is on a mission to reduce the amount of unsold merchandise and customer returns as a result of garments that fit poorly.
What Makes This Trend Stand Out
- Dynamic Mannequins
- Euveka's robot mannequins show disruptive innovation opportunities for the retail industry to reduce unsold merchandise and returns by testing products on a variety of body shapes.
- Phygital Solutions
- Euveka's connected mannequins reveal disruptive innovation opportunities for the fashion industry to merge physical and digital experiences in-store by enhancing customer interaction.
- Adaptive Technology
- Euveka's robotic mannequins show disruptive innovation opportunities for the clothing industry by offering a solution to fit a wide range of body types and improve the inclusivity of clothing.
Sectors Adopting This
- Retail
- Euveka's dynamic robot mannequins open disruptive innovation opportunities for retailers to reduce unsold merchandise, and improve customer satisfaction by offering clothing in a variety of sizes.
- Fashion
- Euveka's innovative technology presents a disruptive innovation opportunity for fashion brands to provide their customers with an inclusive and adaptable experience while minimizing unsustainable practices.
- Clothing
- Euveka's robot mannequins introduce disruptive innovation opportunities for clothing manufacturers and designers to improve the fit and inclusivity of their products through adaptive technology.
