Shoes Marketplace
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Objective
Develop and integrate an AI-powered widget into the client's Flutter app to automate brand and model identification from user photos, facilitating instant listings and dynamic pricing.
What we've done
1. Data Preparation
Compiled a robust dataset of over 62,000 images, including synthetically generated variations, to train the AI model comprehensively.
2. AI Model Configuration
Selected the Resnet50 architecture for its precision in image recognition tasks. The model was trained over 450 epochs, processing batches of 24 images to ensure effective learning and accuracy.
3. Flutter Widget Development
Designed and developed a custom Flutter widget that integrates seamlessly with the client's existing mobile app. This widget directly interfaces with the AI model to process and classify shoe photos uploaded by users.
4. Integration and System Testing
Embedded the widget within the client’s Flutter application framework, ensuring compatibility and performance optimization across different devices. Conducted extensive testing to validate the widget's functionality and responsiveness under real-world conditions.
Our AI Model recognises shoe brand and model and recommends the best selling price:
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Results
1. Enhanced Seller Experience
Simplified user interface via the Flutter widget allows sellers to easily upload photos and receive immediate feedback on brand, model, and price. The sellers love the new functionality!
2. More listings, more sales
The new functionality significantly removes hurdles for users to list more products and ensures data-driven pricing, which in turn leads to an increase in both the number of listings, and in the overall sales volume.
Conclusion
Through the collaboration between our experts and the client's team we were able to achieve fantastic results: the vendors loved the new streamlined, AI-powered listing experience, and the business saw a significant increase in both customer loyalty and the bottom line.
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