We're #hiring a new Technical QA Engineer (EU) in Hungary. Apply today or share this post with your network.
Secret Sauce Partners
科技、信息和网络
San Francisco,CA 968 位关注者
Transforming apparel & footwear shopping with deep fashion data. Solving fit, size and style at scale.
关于我们
- 网站
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https://www.secretsaucepartners.com
Secret Sauce Partners的外部链接
- 所属行业
- 科技、信息和网络
- 规模
- 11-50 人
- 总部
- San Francisco,CA
- 类型
- 私人持股
- 创立
- 2010
- 领域
- Apparel Retail、Ecommerce、Big Data、Recommendations、Artificial Intelligence、Machine Learning、Footwear、Personalization、Enterprise Technology、Computer Vision、Softlines、Data Science、Supervised Learning和Unsupervised Learning
地点
Secret Sauce Partners员工
动态
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We're #hiring a new Senior Frontend Engineer (EU) in Hungary. Apply today or share this post with your network.
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We're #hiring a new Senior Backend Engineer (EU) in Hungary. Apply today or share this post with your network.
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?????? ?????? ?????????????? ?????? ???? ????????????????????—???????? ?????????? ???? ??-???????????????? ???? Finding that perfect pair of jeans that fits just right is a universally great feeling. It's a seamless match, everything clicks into place. But we all know, whether it's in fashion or life, achieving that perfect fit can often be a challenge. At Secret Sauce Partners, we've been closely observing the fashion industry's journey over the past decade, from our early days and are now proud to work with retail champions like Walmart, Revolve or Balmain (and 100+ other major Retailers). Despite the progress made with Fashion AI, the industry still grapples with high return rates and customer dissatisfaction, largely due to size uncertainty. Apart from the obvious downsides of misfits like returns, there's also substantial opportunity costs—unrealized revenue due to size uncertainties that is difficult to quantify. It's a widespread concern that significantly impacts shopping experiences and consumer confidence in online purchases. Here's the silver lining: At Secret Sauce Partners, we're dedicated to transforming these challenges into opportunities. Our solutions are designed to create a win-win-win scenario for customers, retailers, and the environment. By reducing returns, we don't just save money; we make online shopping a delightful experience and significantly reduce the environmental impact. ???? To all the brands out there looking to enhance their customer experience and operational efficiency: we’re here to assist. Our team is ready to help you ensure that every fit is the perfect fit. Let’s connect and explore how we can address these challenges together.
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We're #hiring a new Mobile Application Developer in Hungary. Apply today or share this post with your network.
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?????? ??????????????????????-?????????? ???????????? ?????????? ?????????? Many sizing services still rely on measurement-based approaches—solutions that depend on size charts, body measurements, or customer surveys to make recommendations. But here’s the catch: - ????????????????: Asking customers to input measurements or fill out surveys disrupts the shopping flow. - ????????????????????????: Customers often share idealized info, like the size they wish they were, leading to wrong recommendations. - ???????????? ??????????????????????: Fit isn’t just numbers. A blazer and an oversized coat shouldn’t fit the same way—but static tools can’t adapt to those nuances. ?????? ????????????? ????????????????-???????????? ????????????. By analyzing what customers actually buy, keep, and return, we can predict their true preferences without extra steps or invasive questions. This approach is frictionless, scalable, and better for everyone—retailers and shoppers alike. Have you made the switch yet?
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???????? ???????? ???? ???????? ???? ?????????????? ???? ???????????? ??-???????????????? ??????????? In the latest BoF VOICES 2024, Lauren Santo Domingo (Moda Operandi) and Michael Kliger (MyTheresa) shared their strategies for thriving in today’s challenging luxury e-commerce landscape. Despite a harsh reckoning for the sector this year, their strategies reveal what separates winners from the rest: - ?????????????????????????????? ???????????? ??????????????: Customers today want more than access to products—they crave curated experiences and storytelling. As Kliger noted, “They want more experience than just access to product,” while Santo Domingo emphasized being "brand-enhancing." - ?????????? ???? ????????-?????????? ??????????????????: Not all shoppers are equal. Identifying and retaining customers with the highest lifetime value is critical. MyTheresa has optimized its marketing funnel to target loyal, high-value clients rather than chasing one-time revenue. - ?????? ?????????? ???? ????????: Behavioral insights—like purchase history, payment types, and engagement patterns—are key to predicting loyalty and tailoring personalization strategies. - ?????????????????????? ?????? ????????????????????: Preparedness separates the winners from the losers. By optimizing operations and staying laser-focused on profitability, MyTheresa navigated challenges like high inflation and declining aspirational demand. For over a decade, we’ve partnered with global retailers to enhance the fashion shopping experience, using AI-driven behavioral data to improve customer satisfaction, boost loyalty, and deliver measurable results. By empowering brands with the tools to understand their customers deeply, we help turn transactions into lasting relationships—ensuring relevance and resilience in a competitive market.
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???????????? ???????????????????? ???????? ?? ?????????? ????????? In today’s competitive retail landscape, creating a seamless online shopping experience is essential—especially when it comes to sizing. Picture this: a customer spots the perfect dress online, excitement bubbling like a fizzy drink, only to be deflated by intrusive questions about weight and measurements. This can quickly turn that excitement into an abandoned cart and a lost opportunity. At SSP, we believe finding the right size should be as effortless as slipping into a well-fitted garment. Instead of relying on traditional metrics, why not let algorithms focus on fit preferences? Our innovative sizing solution acts like a personal shopper, effortlessly tuning into customer needs without prying into their personal details. By prioritizing fit preferences over body metrics, retailers can enhance the shopping experience, drive conversions, and cultivate customer loyalty. At SSP, we’re committed to helping enterprise retailers (from Gucci to Walmart) tailor the sizing process to perfection, ensuring the focus remains on the joy of discovery—not on the nitty-gritty of measurements.
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?????? ?????????? ???? ?????????? ???????????? ?????????????????? As the retail landscape evolves, the importance of understanding customer needs has never been greater. One key insight we’ve highlighted is the necessity of eliminating guesswork in sizing—because when it comes to fit, one size doesn’t fit all. At Secret Sauce Partners, we empower retailers to enhance customer satisfaction and reduce return rates through our innovative sizing technology. By leveraging algorithms that focus on individual fit preferences rather than traditional metrics, we help businesses create a personalized shopping experience. Here’s what you can expect: ???????????????????? ????????????????: Our seamless sizing recommendations drive more purchases by enhancing size confidence.? ?????????????? ??????????????: Accurate sizing leads to fewer returns, benefiting both retailers and consumers. ?????????????????? ??????????????: Happy customers are repeat customers, driving long-term success. We believe that by prioritizing fit and embracing technology, retailers can transform the shopping experience to the better. Explore how our solutions can help your business stay ahead in this competitive market.
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??????’?? ?????? ???????? ????????????: ?????? ???????????? ?????? ?????? ???????????????????????? ?????? ???????????????????????? ???????????? ???????????????? Sizing and fit remain some of the biggest pain points in online shopping. When customers order items that don’t fit, it damages trust and increases costly returns. Brands need to address this issue to stay competitive and protect their reputation. ?? ?????? ??????????????????: Sizing inconsistencies across brands—and even within the same brand—lead to high return rates and customer dissatisfaction. Shoppers often think they made a mistake, but the real issue lies in the lack of standardized sizing. ?? ?????? ???? ???????? ??????????: ?????????? ????-???????????? ?????? ????????????????????: Brands using advanced fit prediction can ensure more accurate sizing, reducing returns and boosting customer satisfaction. ?????????????? ???????? ??????????????????: Provide content explaining sizing challenges and how your brand addresses them. ?????????????? & ??????????: Continuously review return data and customer feedback to refine your sizing charts and product descriptions. ?????????????????????? ???????? ??????????????: Partner with tech providers to leverage the latest advancements in fit solutions. Brands that invest in these innovations are building stronger customer relationships and ensuring long-term success. Those that ignore the problem risk falling behind in a competitive landscape. Want to improve your sizing strategy? Contact us for a free demo and see how Fit Predictor can transform your customer experience.
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