Miros is an innovative solution aimed at enhancing the online shopping experience through Tagless Product Discovery and Wordless Search. It leverages AI technology to help shoppers find products based on their browsing behavior rather than relying on text labels or tags. By understanding shopper preferences and presenting highly relevant and personalized results visually, Miros aims to improve product discovery, increase customer engagement, and boost conversion rates. The solution not only addresses the challenge of shoppers struggling to describe products in traditional search terms but also aims to transform the online shopping experience by offering a more intuitive and efficient way for customers to discover and purchase products.
Miros was founded by Heikki Haldre, Diana Siim and Paul Preuss in 2019. After successfully addressing the sizing recommendation issue with their previous startup, Fits.me, which was later sold to Rakuten, they identified a larger problem in online shopping where customers struggle to find what they are looking for. Miros gathered talented individuals from leading companies and academic institutions to develop innovative AI solutions for e-commerce, expanding from fashion to new sectors like footwear, furniture, and decor. The company has strategic partnerships with SAP, NVIDIA, PwC, and trusted investors like Techstars and Tera.
To use Miros effectively, follow these step-by-step guidelines:
Access Miros Platform: Log in to the Miros platform using your credentials.
Dashboard Navigation: Familiarize yourself with the dashboard layout. Explore different sections such as data inputs, algorithms, and visualization tools.
Data Input: Upload your data into Miros. Ensure that the data format is compatible with the platform.
Choose Algorithm: Select the appropriate algorithm for your data analysis. Miros offers various algorithms like regression, clustering, and classification.
Algorithm Parameters: Set the parameters for the chosen algorithm based on your analysis requirements.
Run Analysis: Initiate the analysis process and allow Miros to process the data using the selected algorithm.
Interpret Results: Once the analysis is complete, interpret the results generated by Miros. Understand the insights provided by the platform.
Visualization: Utilize the visualization tools in Miros to represent the analyzed data visually. Graphs, charts, and tables can enhance the understanding of the results.
Report Generation: Generate reports based on the analysis performed. Customize the reports with relevant details and insights.
Export and Save: Save the analyzed data, reports, and visualizations. Export them in preferred formats for further use or sharing.
Feedback and Iteration: Provide feedback on the results and analysis process. Use the insights gained to iterate and improve future analyses.
By following these steps, users can effectively utilize Miros for data analysis and visualization, gaining valuable insights from their datasets.
No reviews found!