At RunPerfect, we feel that sporting goods retailers who sell running shoes to recreational runners, can improve their competitive advantage by offering their sales staff an easy-to-use expert shoe recommendation app.

When using the RunPerfect app, the personal service and advice to customers buying running shoes will be valuable. 

We are convinced that using “running-shoe-AI”  can significantly enhance the accuracy and personalization of suggestions based on individual needs, preferences, and biomechanics. The world’s leading scientists confirm that RunPerfect is the answer to deflating marketing nonsense and introducing factual, proven, steps to the sales professional to offer a best-of-class running shoe recommendation. This includes:

1. AI-powered Gait Analysis without expensive systems.

Incorporate AI-powered gait analysis technology in a hand-held mobile phone or iPad to assess customers’ running biomechanics. This involves analyzing video footage to identify factors such as foot strike pattern, pronation, and stride length. Gait analysis can help recommend shoes that provide adequate support and cushioning based on the individual’s running style. At RunPerfect, we do not like unneccesary data. Sagitall plane video, in 2-D, connected to an online database, using proven AI-algorithms. That’s it.

2. Foot Measurement.

We need the foot measurement to determine the appropriate shoe size and width for each customer, ensuring a comfortable fit and reducing the risk of injury. But, we don’t need overcomplicated nonsensical fancy measurements. The basics will do to offer enough data to our expert system.

3. Customer Profiling.

RunPerfect builds an AI-driven customer profiling to gather information about customers’ running habits, preferences, injury history, and performance goals. This data can be collected through the interactions with store staff. Our scientists have created a solid questionnaire and decision tree. AI algorithms can then analyze this data to generate personalized shoe recommendations tailored to each customer’s needs.

4. Product Matching.

RunPerfect has developed AI algorithms that match customers’ profiles and biomechanical characteristics with the features and specifications of available running shoe models. Consider factors such as cushioning level, stability features, drop height, and brand preferences. By analyzing a vast amount of data, AI can identify patterns and correlations to recommend the most suitable shoes for each individual. And, uniquely, RunPerfect has a database of virtually all running shoes in the market since appr. 2022. And for retailers: we can link the database to your inventory. In this way, our data helps your buyers, as well.

5. Machine Learning Recommendations.

RunPerfect has implemented machine learning algorithms that continuously learn and improve over time based on user feedback and performance data. As customers provide feedback on the recommended shoes and their running experiences, the RunPerfect AI system refines its recommendations to better meet individual preferences and needs.

6. Natural Language Processing (NLP).

RunPerfect has implemented NLP algorithms to analyze customer inquiries, reviews, and feedback related to running shoes. By extracting insights from textual data, the RunPerfect-AI identifiescommon pain points, preferences, and trends among customers, allowing for more targeted recommendations and product improvements.

7. Real Try-On.

Customers need to actually try running shoes on. They need to experience how different running shoe models look and feel on their feet. By RunPerfect recommending suitable shoes, customers can experience the shoes and make more informed purchase decisions. 

By leveraging AI technologies in this way, running shoe retailers can provide more accurate, personalized, and engaging recommendations to their customers, ultimately improving customer satisfaction and loyalty while driving sales using RunPerfect. And, at the end of the day, we are convinced that this will lead to an increased revenue at the till.