Core idea of this paper:
To understand an e-commerce fashion purchaser
To be able to provide them with a sizing solution
To understand the market and feasibility of AI integration to help them shop or purchase more easily
To reduce the extra cost incurred by the seller
The challenge
Sizing solutions in the clothing market today are primarily manual and fall into two categories: ready-made and custom-made garments. Custom-made clothing ensures a perfect fit by tailoring garments to individual measurements, but it is often expensive, making it inaccessible to many buyers. Ready-made garments, on the other hand, are mass-produced in bulk and labeled with standard sizes such as Small, Medium, and Large to accommodate a wide range of customers. These size labels vary across brands, leading to confusion and inconsistency in fit. The lack of a globally standardized sizing system further complicates the shopping experience, especially online, where customers cannot try on clothes before purchasing.
DaveAI's Solution
The use of 3D avatar-based technology can help alleviate this problem by allowing consumers to get a preview of the fit of the product. DaveAI’s sizing fit solution addresses the uncertainty in fit across different brands by considering the overall physical attributes of the customer. It scales these attributes against the brand’s catalogue of size fits, ensuring a more accurate match for the customer. By recommending the optimal size based on individual measurements, the solution eliminates the possibility of misfits and enhances the online shopping experience. This solution goes beyond generalized sizing, offering a completely customized approach to sizing, providing shoppers with a tailored fit that accounts for their unique physical features.
Customers agreed that their loyalty was committed to the same brand if right fits were offered
Customers would be willing to use avatars in order to get a better understanding of the fit of a fashion product
Predictions
Avatar-based sizing solutions use 3D avatars to simulate how clothing fits based on a customer’s unique body shape, offering personalized size recommendations. By capturing detailed physical attributes, these solutions reduce uncertainty and returns, providing a more accurate and confident shopping experience. As the technology evolves, it’s expected to become a standard in e-commerce, bridging the gap between online and in-store shopping.
