ICOEF LIMITED Partners with Data Science to Revolutionize New Balance Shoe Ratings – Giving Runners & Shoppers Unprecedented Insights

Paris, France – October 26, 2023 – ICOEF LIMITED, a leading data solutions provider based in France, today announced a groundbreaking collaboration leveraging advanced data science to deliver the most comprehensive and reliable New Balance shoe ratings available. For runners, fitness enthusiasts, and everyday shoppers, choosing the right shoe can be a real headache. ICoef is aiming to cut through the noise and provide clear, data-backed recommendations. Who is ICOEF LIMITED? ICoef Limited, nestled in the picturesque Charente region of France (LA LAURIERE, LIEU DE SURIS, CHARENTE, 16270), isn’t a shoe company. We're the brains behind the data. We're a team of data scientists, engineers, and analysts dedicated to taking raw information and turning it into actionable insights. Think of us as the people who make sense of the numbers for businesses and consumers alike. You can reach us at 213-328-7525. We specialize in collecting, cleaning, analyzing, and presenting data in a way that's easy to understand and incredibly valuable. The Problem with Shoe Ratings (and How We're Fixing It) Let’s be honest, current New Balance shoe ratings are…messy. You've got a ton of websites with reviews, but they're often biased, subjective, or just plain unreliable. One person's "perfect" shoe is another person's nightmare. Existing ratings often rely heavily on individual opinions and fail to account for key factors like foot type, running style, intended use (road, trail, gym), and even the specific model year of the shoe. "We saw a huge gap in the market," explains Jean-Pierre Dubois, Head of Data Analytics at ICOEF LIMITED. "People need more than just star ratings. They need data-driven recommendations tailored to their specific needs. That's where we come in." ICoef’s New Approach: Data, Not Just Opinions ICoef LIMITED isn't just scraping review sites. We're building a robust, multi-faceted data platform that analyzes a wide range of factors to generate New Balance shoe ratings that are far more accurate and reliable. Here’s how it works: Aggregated Data from Multiple Sources: We pull data from hundreds of sources, including online retailers, running forums, social media, and professional running reviews. Advanced Natural Language Processing (NLP): Our NLP algorithms analyze text reviews to identify key themes and sentiment. We don't just look for "good" or "bad"; we dig deeper to understand why people like or dislike a particular shoe. We identify mentions of comfort, support, durability, fit, and specific performance characteristics. Biomechanical Data Integration: This is where things get really interesting. We’re partnering with biomechanics labs to incorporate data on shoe construction, cushioning materials, and how different shoes affect running gait. Foot Type & Running Style Analysis: We've developed an algorithm that allows users to input their foot type (neutral, pronated, supinated) and running style (heel striker, midfoot striker, forefoot striker). This information is used to personalize shoe recommendations. Usage Context: Are you a marathon runner logging high mileage on pavement? Or a casual jogger who prefers trail running? Our platform takes these factors into account. Model Year Consideration: New Balance frequently updates its shoe models. Our data accurately tracks these changes, ensuring that ratings reflect the latest versions. What Does This Mean for You? Our data-driven New Balance shoe ratings will provide you with: Personalized Recommendations: Find the perfect shoe based on your foot type, running style, and intended use. No more guessing! Detailed Performance Metrics: Understand how each shoe performs in key areas like cushioning, stability, responsiveness, and durability. Transparent Data: We show you the data behind our ratings, so you can make informed decisions. We're not a "black box." Comparative Analysis: Easily compare different New Balance models to find the best fit for your needs. Reduced Risk of Injury: Choosing the right shoe can help prevent injuries. Our platform helps you find a shoe that provides the support and cushioning you need. Specific New Balance Shoe Ratings – Early Findings While the full platform is still under development, we’ve already conducted preliminary analysis of several popular New Balance models. Here’s a sneak peek: New Balance Fresh Foam 1080v12: Our data consistently ranks this shoe as a top pick for long-distance runners seeking maximum cushioning and comfort. The Fresh Foam midsole provides excellent impact absorption, and the breathable upper keeps feet cool and dry. However, runners with stability concerns may want to consider a shoe with more support. New Balance FuelCell Rebel v3: This shoe is a standout for its responsiveness and lightweight design. Our data shows it’s particularly well-suited for tempo runs and speedwork. While it’s not as cushioned as the 1080v12, its energetic ride makes it a favorite among faster runners. New Balance Hierro v7: Our analysis confirms the Hierro v7’s reputation as a versatile trail running shoe. Its Vibram outsole provides excellent traction on a variety of surfaces, and its durable upper protects feet from rocks and debris. New Balance 880v13: A workhorse daily trainer, the 880v13 consistently receives high marks for its balance of cushioning, durability, and affordability. Our data confirms its suitability for a wide range of runners. The Future of Shoe Ratings ICoef LIMITED is committed to continually improving our data platform and expanding our coverage of New Balance shoes. We plan to incorporate data from wearable sensors, such as running watches and foot pods, to provide even more personalized recommendations. We’re also exploring the possibility of partnering with running shoe retailers to offer our data directly to consumers in-store. “We believe that data can revolutionize the way people choose running shoes,” says Dubois. “Our goal is to empower runners and shoppers with the information they need to find the perfect fit and enjoy their runs to the fullest.” For media inquiries, please contact: Jean-Pierre Dubois Head of Data Analytics ICoef Limited 213-328-7525 [email protected]