Optimize Discovery with YesPlz AI Brand Recommendations

Retailers have a problem: while they may have a deep catalog with hundreds (even thousands) of brands, shoppers are still shopping the same brands over and over. And while repeated brand loyalty is inevitable, shoppers are also willing to step out of their comfort zone and discover similar brands—but only if the brand recommendations are within their preferred brand aesthetic.

As a retailer, you have products from across different brands, but not all brands are equally popular or well-known by shoppers.

You want to make sure all the brands are easily discoverable to your shoppers, and here’s why:

-Shopper Satisfaction: A wider, relevant selection of brands and products make it more likely that shoppers will find the exact products they’re looking for

-Better Inventory Management: Aging products are costly for retailers to sit on.

That’s why targeted brand recommendations are the answer.

But it’s impossible to manually make brand recommendations. It’s time-consuming, resource intensive, and the scale of products and their complex attributes make it impractical.

That’s why we built AI-powered brand recommendations that can personalize every single brand suggestion for each shopper.

Using an advanced AI algorithm, we can tailor brand recommendations based on aesthetics, trendy fashion vibes, and user behavior.

What is a Brand Recommendation?

Based on a shopper’s favorited or purchased items, AI makes brand recommendations that match their preferences by finding brands with a similar style and aesthetic.

How Does it Work?

YesPlz AI uses two main sources of data:

Fashion Style Data

We’ve trained our AI on millions of fashion data points, which is called our “fashion embedding model.” It can recognize distinct fashion vibes like grunge, modern chic, sporty casual, and more. This way, we can align brand recommendations with a shopper’s preferred style.

User Behavior Data

We analyze collaborative filtering data, which shows which other brands the same shopper also purchases. By using this behavioral data, we can match shoppers with the brands that other similar shoppers enjoy.

The Perfect Mix of AI: Where the Magic Happens

Here’s where our AI works its magic. We blend these two types of data in just the right amount and fine-tune the brand recommendations until they’re perfectly customized for each retailer. Thanks to our latest AI model, we can accurately calibrate and refine this “magic ratio” to get the best results.

Faster, Simpler, and Optimized

We created this AI to make the recommendation process faster and more efficient, using our own “secret sauce” to blend fashion style and behavior data for the most optimal recommendations.

With AI-powered brand recommendations, we’re making it easy for retailers to show a wider range of brands, tailored to each shopper’s tastes. The result? Satisfied shoppers, more efficient inventory turnover, and an elevated shopping experience that’s personalized and engaging.

AI Brand Recommendations: Anderrson Bell

Known for its playful and experimental style, shoppers that like Andersson Bell can now enjoy recommendations from brands like Yuse and Ellonarc, creating a unique style mix:

Andersson Bell: Eclectic and asymmetrical pieces that balance minimalism with a playful touch. Its style is contemporary, casual, yet high-end.

MOONTAN: Shares an experimental vibe, offering a mix of structured and relaxed clothing with classic silhouettes that still feel unique.

Ellonarc: Unconventional and edgy, leaning into casual streetwear with pieces like denim jackets. The style is modern yet wearable.

Common Brand Characteristics:
All three brands share an asymmetrical silhouette and trendy, but wearable styles. They have a playful, eclectic vibe with darker tones, a classic color palette, and timeless fabrics.

Manually identifying which product attributes align across brands would be nearly impossible. With AI, however, this process becomes seamless. AI can quickly detect shared brand characteristics and cross-analyze user shopping behavior, making brand recommendations far more relevant than traditional collaborative filtering.

AI Brand Recommendations: FORMSYS 

Another brand recommendation example is FORMSYS, known for its feminine and elegant styles. Our AI recommends Sincethen and S Blance, brands that share similar fashion attributes and target similar audiences:

FORMSYS: Elegant, delicate pieces with flowing fabrics and a romantic, sophisticated vibe

Sincethen: Feminine, tailored dresses and classic pieces in soft pastel colors

S Blance: Minimalist, clean silhouettes that retain a feminine and elevated look

YesPlz’s AI doesn’t just recommend relevant brands–it sparks shopper interest by suggesting products that are similar in style, yet unique enough to stand out. 

AI Brand Recommendations Benefits Both Retailers and Shoppers

Greater Brand Discovery:

Shoppers discover new brands that match their preferences—even those they might not have been aware of before. By mapping brands to shopper behavior and preferences (such as trendy or practical), it creates a more curated experience, allowing for broader exposure to brands that align with each shopper’s style and interests.

Boost in Potential Sales Conversion:

With YesPlz’s fashion-trained AI, shoppers are always matched with brands that fit their tastes, making them more likely to convert. By reducing the effort it takes for shoppers to find products they’ll love, they’re more likely to make a purchase.

Improved Shopper Engagement and Experience:

When shoppers see curated, relevant brand recommendations based on their unique preferences, they stay engaged in the shopping journey, enhancing their overall shopping experience. Instead of feeling overwhelmed by countless choices, shopping is streamlined and still enjoyable, making the experience feel more personalized.

Seamless Brand Recommendations for Any Retailer

Integration is quick, straightforward, and seamless. We make the process as smooth as possible for our retail partners. We handle data integration with your catalog. Once data ingestion is complete, we start training our AI specifically for your products.

Simply plug in the brand recommendation widget wherever it fits best, and you’re ready to start making personalized brand recommendations for your shoppers.

Schedule a free 20-minute consultation today to see how YesPlz brand recommendations can boost your product sales. In the consultation, we’ll go over solutions specific to your needs.

 Schedule a demo today