It’s fascinating to see how data tells the story of fashion evolution - from runway to retail. Our latest trend analysis reveals that the 'barrel' jean silhouette, first championed by Alaïa's Pieter Mulier, isn't just a passing trend - it's become a wardrobe cornerstone. But here's what many brands miss: without precise product data, these trend opportunities become operational blind spots. In our latest deep-dive, Natalie Theo, our Head of Styling, uncovers how granular product data transforms fashion e-commerce success. Through our work with leading retailers, we've seen firsthand how detailed attribute mapping drives both customer satisfaction and business growth. Key takeaway: The brands winning in e-commerce aren't just following trends - they're mastering the data behind them. Curious to learn more? Read Natalie's full analysis here https://lnkd.in/eMUDCy4X #fashiontech #ecommercetrends #retailInnovation #productdata
About us
Dressipi is driving a step-change in personalization for fashion ecommerce. By understanding the unique complexity of fashion (think seasonality, trends, body types, taste etc), Dressipi helps retailers to show each visitor the items they’re most likely to buy - and keep. Products are automatically tagged with 3x more detail. Data is crunched at scale. Fashion expertise is overlaid. Dressipi does the heavy lifting so that their customers can stay ahead of the competition and enjoy higher profits. Today, Dressipi’s personalized recommendations and outfits outperform all competitors in A/B tests, and deliver incremental improvements to profit ( 21%), revenue ( 12%), returns (-15%) and sell-through rate ( 10%). Finally, personalized ecommerce that lives up to the hype.
- Website
-
http://dressipi.com
External link for Dressipi
- Industry
- Retail
- Company size
- 11-50 employees
- Headquarters
- London, England
- Type
- Privately Held
- Founded
- 2011
- Specialties
- Fashion, Machine Learning, Returns Reduction, Conversion Increase, Artificial Intelligence, Fashion Technology, Fashion-specific personalisation, SaaS solution, Fashion Prediction, Customer Lifetime Value, Increased Sell Through, Reduced Discounting, Improved Retention, Retail Technology, Reducing Overstock, Personalisation, Data, Customer Experience, Profitable Growth, Increase Profitable Revenue, Customer Loyalty, Predicting Size of Buy, Instore Solutions, Personalisation, Personalised Recommendations, and Personalization
Locations
-
Primary
Get directions
5 Merchant Square
London, England W2 1AS, GB
Employees at Dressipi
Updates
-
Dressipi reposted this
It's a big day for Lady & Ralphie as they embark on their first day back in the office. As this article in The Economist explains, having pups in the office can be both a joy and chaos, often at the same time. I fully admit that my pups are spoilt, but here are my top tips for making WFO day a little smoother: - Commute a little earlier: Lady was not thrilled at the earlier alarm, but it did mean the tube was slightly quieter and I could get a spot that meant they didn't get in anyone's way. - Plan your day: Schedule in time to take them on a little lap so it doesn't get in the way of your to-do list. - Comfort is key: L&R have a preference for a sofa, so I've bought a little mat to help them settle (I know, don't judge me). - Remember treats: Because everyone needs an afternoon snack (and let's be honest, a mid-morning one too) Three hours into the day and so far so good. Did I briefly lose Lady? Yes... but it was no surprise to find her sitting in the kitchen giving her best puppy dog eyes to the guy opening the biscuit jar. Luckily they've got Dressipi's CTO (Chief Treat Officer) Noodle on hand to show them the ropes. Sarah McVittie #DogsAtWork #OfficeLife #PuppyPerks https://lnkd.in/etDM87nP
-
-
Would be brilliant if any fashion or apparel retailer could answer these questions. We'd love to hear your thoughts! 🙏
Before we start with the next series of blogs, I’d appreciate it if any fashion or apparel retailers out there could complete the next series of survey questions: #productenrichment #productdata #structureddata #fashionai
This content isn’t available here
Access this content and more in the LinkedIn app
-
Looking at the fundamentals across apparel retailers can give an indication of key factors impacting margin erosion.
Nike’s massive 20% share price drop: time to revisit the growth at any cost model? Nike is not alone. Looking at the top 10 sportswear brands, it is a similar picture for Lululemon, UnderArmour, JD Sports, Wolverine, and Puma. On average their share prices are down by 10% over the last 6 months, 17% over the last year, and 20% over the last 5 years. Having a quick look at the business fundamentals, there is a story in the numbers. Here are the averages across that group: Net revenue growth: up, averaging 15% (if you exclude 2020) Gross margins: down, by 1.65% pts (from 47.97% in 2019 to 46.32% in 2023) Operating margins: down, by 2.25% pts (9.08% in 2019 to 6.83% in 2023), and Inventories as % of net revenue are up 2.2% pts (16.1% in 2019 to 18.2% in 2023) The numbers suggest that there needs to be some realignment across the various internal functions. Inventory management remains a key challenge for these companies as they manage overstock and demand volatility. The good thing about activewear as a category is that certain areas are easier to predict - it behaves more like continuity than fashion items so it is easier to forecast from a demand planning perspective. This was echoed in McKinsey’s Activewear report see exhibit 3. This is also exactly the kind of job that advances in AI & ML are good at. Working with large fashion retailers Dressipi has seen up to 4% points improvements in full-price sell-through rates. This isn’t just a big hit for these companies on their profit margins but also a big sustainability issue too. If I take Deckers and Fraser Group by contrast. Both are seeing similar average revenue growth (14% and 10% respectively) but have costs and stock under control (2023 GM, operating margins, and inventory either in line with or above 2019 numbers). A cautionary tale perhaps - to get the alignment done now to ensure that growth continues to be profitable. #profitablegrowth #sustainablesupplychains #predictiveAI #retailai
-
-
Food for thought from Sarah McVittie on a recent The Business of Fashion article.
Responding to a great article in The Business of Fashion about why fashion’s curation problem is so hard to solve. The problem is multi-dimensional. As the article states, to do a really good job would, “require cataloguing each product at the same level of granularity.” As Spotify. Therein lies the issue, What is the right data? What is the right level of granularity? Most retailers’ product data is organisational-led, it is not customer-led, it is focused on the “what” not the “why”. Fashion, as a domain, is much more dynamic, on every level, than every other category. Fashion is inherently about “newness”, clothes only exist to be sold for 3-6 months, tastes change as trends change or as we get older. What suits us and makes us feel great depends on body shape, lifestyle, ethnicity, sensibilities. Our experience at Dressipi tells us that customers are evaluating 1000s of product dimensions to decide whether that particular item is right for them, the event they are going to, the weather, whether it will work with those jeans they bought last week... Most retailers rely on personalisation engines that have been built to service all categories. They typically use basic collaborative filtering models, these models completely fail to understand the preferences and intent of the customer and some of the nuances as to why building genuinely good recommendations in fashion is much more challenging. Here are just a few examples: - Our tastes change as trends change. You may have customers like Anabel in the article but equally you might be someone who likes to follow trends. For those customers, they may have previously disliked gingham or checks or florals but if gingham or check or florals are THE key trend this season then that customer won’t just like gingham/checks/florals – they’ll probably end up buying that previously disliked trend. So you need to have a way of figuring out which of your customers are trend-led and which are not. Likewise having bought into that seasonal trend that customer will probably not want to now only be shown gingham/checks/florals - Body shape, gender, ethnicity, and sensibilities matter. An example we often use is that of necklines and large busts - the difference between a crew neck and a round neck is very real when it comes to return rates. - Fashion is one of the only categories where we are buying something to go with other items we own – so styling is key but styling in the context of that customer not only in terms of their preferences but also working with what they already own That doesn’t even touch on size, return propensities, and fragmentation avoidance. All-in-all a complex problem that needs careful, considered thought. Something we have been doing at Dressipi for over a decade. If you’d like to chat more about the product data or the personalisation APIs please DM me. 👗 📈 👖 https://lnkd.in/emwyXr4V
-
Dressipi reposted this
I will be joining the brilliant Chloë Thomas for her panel on return rates! With return rates for UK fashion retailers now 1-2% points higher than they were pre-pandemic it is a critical topic for most retailers. 🗓 Mark your calendars for March 20th 4pm UK time! Key things for me are the following: - How to minimise returns through better onsite experiences - How to get more retailers with key people owning the KPI - How better product data is the secret sauce - Interesting that most retailers now have size & fit tools yet return rates are still going up - what is going on there? 👥 on the panel with Sophie Aubard for yayloh, Josh Pitman from Priory Direct - Planet Friendly Packaging - Certified B Corp™, Amber Forbes from 5874 Commerce, and moderated by the excellent Chloë Thomas from eCommerce MasterPlan. We will talk about how to decrease your return rates (at all points in the journey), increase profits, and make your customers happy! Returns! How do we minimise them? Book your place now: https://lnkd.in/eh38hM9x
-
-
Dressipi reposted this
I will be joining the brilliant Chloë Thomas for her panel on return rates! With return rates for UK fashion retailers now 1-2% points higher than they were pre-pandemic it is a critical topic for most retailers. 🗓 Mark your calendars for March 20th 4pm UK time! Key things for me are the following: - How to minimise returns through better onsite experiences - How to get more retailers with key people owning the KPI - How better product data is the secret sauce - Interesting that most retailers now have size & fit tools yet return rates are still going up - what is going on there? 👥 on the panel with Sophie Aubard for yayloh, Josh Pitman from Priory Direct - Planet Friendly Packaging - Certified B Corp™, Amber Forbes from 5874 Commerce, and moderated by the excellent Chloë Thomas from eCommerce MasterPlan. We will talk about how to decrease your return rates (at all points in the journey), increase profits, and make your customers happy! Returns! How do we minimise them? Book your place now: https://lnkd.in/eh38hM9x
-
-
One of the key takeaways from our “Reframing Retail” report explores how over the next 18 months driving customer loyalty and getting off that “Google tax” will be one of the key factors that impact a retailer’s profitability. Did you know, on average only 30% of new customers come back to buy again, but once they’ve shopped with you twice, that number increases to 53% and only increases thereafter? Yesterday morning we sat down with Nancy from Jigsaw and Karl from Voyado to share ideas and insights as to what fashion & apparel retailers should be considering to encourage customers over this critical first to second purchase hurdle. Here are 3 ideas to think about… - Brand awareness and trading emails do not necessarily need to be mutually exclusive. You can use your beautiful editorial content and include AI-driven recommendations that are specific to that customer and align with the brand story. - Your timing will be key - understand how quickly your customers tend to come back and buy again. Delivering a service that delights your customers and delivers real value is key - help them become the very best versions of themselves. You need to strike whilst the iron is hot! The ideal scenario is to drive that purchase within 12 weeks of the first. - Relevancy is essential. Use data to show customers something that is available in their style and size and that second purchase will be much more meaningful. #retail #cxp #customerexperience #loyalty #predictiveai #fashionai #data #predictiveanalytics #returns
-
-
If returns are still causing you a headache you don’t want to miss this webinar! Amongst other industry leaders, Sarah McVittie will be digging into why product return rates are now typically 1-2% higher than they were pre-pandemic and exploring what the fashion and apparel industry can put into action to minimise the impact they’re having on a retailer's profitability. March 20th 4 pm (BST)/ 11 am (EST) You can register here: https://lnkd.in/eh38hM9x We hope to see you there! #predictiveai #fashionai #data #predictiveanalytics #returns
-
-
Dressipi will be at #nrf2024 - look out for Sarah McVittie in her pink suit. Closing the profitability gap for fashion retailers. #predictiveai #fashionai
Back with the pink suit for #nrf2024. Really looking forward to seeing everyone and so some exciting meetings with clients and partners. Am well rested and ready for the onslaught! Please give me a shout if you are a fashion retailer and want to know how to close your profitability gap! Looking forward to hanging out with the Nibble team and the brilliant Rosie Bailey - definitely come by their stand #340 - Rosie and her team are building the future of AI negotiation! Also checking in with James Brooke who is now CEO Sweft - automating and digitising the product workflow processes - much needed cash can be released quickly once that process has moved from analogue to digital. And a shout out to Jim Herbert Patchworks, John Williams Amplience, Andre Brown Advance Commerce AB, Kelly Goetsch commercetools See you all there. #predictiveai #fashionai #closingtheprofitabilitygap
-