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ODLO Staying One Step ahead with 3D technology
Technology Category
- Functional Applications - Product Lifecycle Management Systems (PLM)
- Analytics & Modeling - Digital Twin / Simulation
Applicable Industries
- Apparel
- Consumer Goods
Applicable Functions
- Product Research & Development
- Quality Assurance
Use Cases
- Rapid Prototyping
- Digital Twin
Services
- Software Design & Engineering Services
- System Integration
The Challenge
Odlo, a renowned technical sportswear brand, aimed to expand its consumer base by targeting more performance-oriented customers. To achieve this, the company needed to speed up its product development process to quickly react to fashion and weather trends. This would enable them to get new products to stores in time to capitalize on market demand. The challenge was to streamline the development process while maintaining the high quality and performance standards that Odlo is known for.
About The Customer
Odlo is a technical sportswear brand established in Norway in 1946 and now headquartered in Switzerland. The company designs, produces, and retails high-performance sportswear and is sold in 25 countries with 4,500 points of sale worldwide, including 36 of its own stores and 14 outlet stores. Odlo is known for its innovative fabrics and holds a significant market share in the sports underwear category in Europe. The brand aims to stay ahead of market trends and ensure that its products are the first to arrive on the market.
The Solution
Odlo adopted Lectra's Modaris 3D patternmaking solution for its product development department. This 3D prototyping technology significantly reduced the number of physical samples and fittings required, thereby speeding up the development process. The solution also improved communication and reduced misunderstandings between Odlo’s teams in Switzerland and Portugal by allowing everyone to work from the same image in real time. This led to more efficient operations and cost savings. The technology also enabled Odlo's patternmakers to take more creative risks, as they could instantly see the impact of their changes in multiple positions without the need for physical samples.
Operational Impact
Quantitative Benefit
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