Vector, the little tuxedo-clad robotic dog developed by MIT, made its red carpet debut at the Met Gala, the annual fundraising festival for the Metropolitan Museum of Art’s Costume Institute. Fashion’s most iconic night has become a runway for emerging tech.
Vector was ushered down the carpet with Mona Patel, a tech entrepreneur who even used kinetic butterfly sculptures previously as an interesting homage to fashion and tech’s joint slay. In 2024, the Met partnered with OpenAI to create a custom chatbot associated with the final garment in its exhibition ‘Sleeping Beauties: Reawakening Fashion’. Built on decades of data, the chatbot took on the persona of New York socialite Natalie Potter, who once wore the gown from the 1930s, and answered visitors’ questions.
Looking good is serious business. And with the beauty and fashion industries continuing to generate incredible demand, AI-powered interventions can help brands put their best foot forward and make data-driven decisions across an industry driven by competitive margins.
At Tiger Analytics, we’ve been working with fashion and beauty brands to give their processes the right kind of AI-driven optimization makeovers, build powerful, meaningful connections with their customers through well-thought-out and bespoke customer journeys, and deliver a perfect match between brands and customers.
How is AI helping plug the gaps of the fashion and beauty industries? Our latest edition of AI of the Tiger talks about this and more.
Victoria’s Secret? A comprehensive #processglowup for better compute costs and reduced runtime
10 months, 600+ scripts, and 40+ modules migrated from legacy on-prem systems to Azure and Snowflake. We successfully executed a comprehensive migration strategy with Victoria’s Secret & Co (VS&Co) that served: 34% lower compute costs and 37% reduced runtime. In fashion, it’s the details that make the difference. With data, it’s the architecture. Our head-to-toe process makeover included effective change management, upskilling, and stakeholder engagement with continuous performance monitoring, cost management, and optimization to maintain efficiency and keep costs in check in the new cloud environment. That’s a slay.
Hey, big spender? How propensity models are helping brands rope in the 2 percenters
Nearly 40% of all luxury goods are purchased by the top 2%, a study found. What if luxe brands could identify these A-listers and build meaningful relationships and lasting loyalty? We helped our client, a global retailer, do just that, doubling the average revenue per customer. Stitching together data from multiple touchpoints along with customer segmentation techniques can help brands build propensity models to predict future Very Important Clients (VICs) and unlock smarter cross-sell and upsell opportunities.
It’s giving – results! Mapping customer-product chemistry to deliver a perfect match
Today, the real question isn’t just ‘what does the customer want?’ – it’s ‘how can we truly understand and deliver it?’
- 4.5% rise in repeat purchases
- 7.8% increase in app usage
- 23-basis-point increase in marketing ROI across digital channels
These are the results that a global beauty brand observed by rethinking how it connects customers with products. Customers don’t always explicitly state their preferences. Their choices are shaped by trends, context, and discovery. Customer product affinity embedding brings brands closer to the customer by placing the consumer at the heart of every decision. With data-driven customer understanding, brands can build deeper and more personalized connections, driving loyalty and growth. Read how we powered this.
Safety, Pinned: Winning customer trust by building the right foundation
When data becomes currency, how can we safeguard data privacy and exclusivity? Luxe brands have to tread delicately, balancing the rising expectations of hyper-personalized service and a clientele that values discretion while maintaining long-term customer trust. When data governance principles around privacy and consent are built into the systems we architect, they allow brands to confidently and ethically deliver superior and memorable customer experiences. Here’s our POV.
AI is reshaping how fashion and beauty brands connect with customers, but the real challenge is balancing innovation with responsibility. How is your organization weaving AI and data governance into its fashion and beauty story?
This edition was originally published on LinkedIn on May 31, 2025.
