How 99designs Uses Machine Learning to Enhance Its Design Platform
In today’s fast-paced, technology-driven world, artificial intelligence (AI) and machine learning (ML) are making significant strides in various fields. Design is no exception, and one of the companies leading the way in ML-powered design is 99designs.
99designs is an online marketplace that connects clients with freelance designers from all over the world. The platform has been around since 2008 and has had over $350 million worth of design projects run through it. In 2019, the company introduced its latest offering: a machine learning-powered design tool aptly named “Design AI.”
Here’s how 99designs leverages machine learning to enhance its design platform:
1. Faster Matching Times for Clients and Designers
99designs uses machine learning algorithms to quickly match clients with the best designers for their projects. When a client starts a new project, the system will analyze the requirements and preferences of the project to identify the best-suited designers from its pool of over one million freelancers.
Designers will receive an email alert that a contest has been launched that matches their skill set. This reduces the time it takes for clients to find a designer and for designers to find potential clients.
2. Intelligent Design Suggestions
99designs’ Design AI tool is powered by machine learning, allowing it to suggest designs that align with the client’s design preferences. The tool uses past design preferences, industry trends and patterns, and other elements to suggest designs that are relevant to the client’s needs. Additionally, the system learns from client feedback, adapting to design preferences, and fine-tuning suggestions.
3. Finer Detail Adaptation on Designs
Using machine learning, 99designs’ Design AI tool can analyze past 99designs design contests to suggest the best design tweaks to a client’s design concept. When a client submits a design, the system will analyze it for design flaws and suggest the best adjustments, ultimately improving the chances of the client winning the design contest.
4. Improved Designer Feedback and Quality
Design contests allow 99designs designers to receive design critique and feedback from clients and fellow designers. Design AI analyzes feedback and launches more specific contests, which improves the quality of submitted designs.
Clients can rate each design submitted so designers can see what works and what does not. This feedback allows designers to adjust their designs, resulting in better-suited submissions, ultimately leading to higher satisfaction for clients.
Conclusion
99designs uses machine learning to enhance its design platform in multiple ways. From quicker matching times to intelligent design suggestions, machine learning is making it easier for 99designs to stand out in the design industry. As technology continues to advance, it’s exciting to see how machine learning and AI will continue to revolutionize the ways we create and consume design.
