AI Fashion Discovery in Microsoft Copilot with Curated for You

  • Thread Author
Microsoft and Curated for You (the technology behind REVOLVE’s “Curated for You”) have quietly rolled out a live, AI-driven fashion discovery layer inside Microsoft Copilot, turning natural-language wardrobe questions into visually composed, shoppable outfit edits and linking those looks to participating merchants including REVOLVE, Steve Madden, Tuckernuck, Rent the Runway and Lulus.

Background / Overview​

Microsoft’s Copilot has shifted from a productivity tool into a broader, platform-level assistant available across Windows, Edge, Microsoft 365 and mobile. Embedding a commerce layer into that assistant is the logical next step: when people ask “What should I wear?” or “Outfit ideas for Italy,” those moments are high-intent discovery opportunities. Curated for You supplies a lifestyle-first merchandising engine that composes head-to-toe editorial “edits” based on event, mood, and context, and Microsoft surfaces those within Copilot’s conversational UI so users can browse and click through to merchant product pages.
The partnership moved from announcement to operational deployment in mid‑September 2025; the launch materials and industry coverage date the public activation to around September 16–17, 2025.

What the new Copilot fashion experience does​

  • Users enter a natural-language prompt (typed or spoken) — for example, “What should I wear to a beach wedding?”
  • Copilot detects lifestyle intent, routes the request to Curated for You’s curation engine, and returns editorially composed looks (visual storyboards with coordinated outfits).
  • Each item in a look is linked to live product pages at participating retailers so the user can view details and proceed to checkout where supported.
  • The experience emphasizes discovery and inspiration (moods, occasions, and palettes) rather than raw SKU lists.
This is not a simple search-box integration — it is positioned as a lifestyle discovery layer that sits inside an assistant people already use daily.

Why this matters: reach, curation, and merchant grounding​

Three practical forces make this launch strategically important.
  • An assistant with reach. Copilot is embedded across Microsoft’s consumer and enterprise surfaces, giving any integrated commerce flow an enormous potential audience. Intercepting style intent inside an assistant changes where and when shoppers discover fashion.
  • Editorial, lifestyle-first curation. Curated for You emphasizes event-driven composition — outfits for moments (travel, weddings, parties) — which maps better to how people think about clothing than traditional category search. Presenting head-to-toe looks and short visual stories increases the odds of inspirational engagement.
  • Day‑one merchant participation. Having established retailers on launch — including REVOLVE, Steve Madden, Tuckernuck, Rent the Runway, and Lulus — provides immediate pools of shoppable inventory. This is a deliberate guardrail against the “hallucinated SKU” problem that has dogged earlier generative-commerce experiments.
Together, these elements convert an inspiration moment into a literal commerce path inside an assistant, reducing friction from idea to checkout when the engineering and integration are reliable.

How it’s built: platform plumbing and templates​

The integration relies on Microsoft’s existing merchant and agent tooling rather than a bespoke ad-hoc connection.
  • Copilot is the conversational front end and manages the dialog and intent routing.
  • Curated for You’s merchandising engine composes and ranks visual edits based on retailer inventories, trend signals, seasonality, and event context.
  • Retailers can integrate via Copilot’s merchant tooling and product feed mechanisms; Microsoft has published a Copilot Merchant Program and Copilot Studio templates (including a Personal Shopping Agent template) to make store integrations and personalized agent deployment straightforward.
Microsoft’s documentation shows a managed path for merchants to onboard: Copilot Merchant Program signup, product-specification feeds, and Copilot Studio agent templates such as the Personal Shopping Agent to host shopping flows inside Copilot. These building blocks reduce integration friction and standardize how product metadata, availability, and checkout surfaces are exposed to Copilot.

Important engineering caveat​

Public launch materials emphasize that curated looks link to live items, but they do not disclose detailed operational mechanics such as polling cadence for inventory, cache lifetimes, reconciliation workflows, or the exact guarantees for price/availability synchronization across systems. Those engineering details are critical to ensuring reliable shoppability at scale and remain opaque in the public materials. Treat claims of instantaneous availability as contingent on those behind-the-scenes systems.

What the companies are saying (and what to read into the quotes)​

Curated for You’s CEO Katy Aucoin framed the launch as bringing “discovery that feels personal” into a tool people use every day; Microsoft’s Jennifer Myers described Copilot as becoming a “style companion” that bridges lifestyle intent with real-time curation. Those quotes are central to the vendor narrative: making discovery empathetic, contextual, and immediate.
However, vendor messaging frequently emphasizes engagement and revenue uplift metrics — for example, Curated for You’s materials claim “3x engagement” and “millions in revenue” in aggregate for participating retailers. Those are marketing claims reported in the press materials; they should be treated as vendor-provided performance figures until independent third-party case studies or measurement confirm them.

Strengths and opportunities​

  • Seamless discovery-to-commerce flow. Embedding editorial edits in an assistant removes a step between inspiration and transaction, likely increasing conversion for impulse and high‑intent moments.
  • Higher-quality signals. Lifestyle and event context (e.g., “beach wedding”) is richer than category-only queries and helps surface cohesive outfit suggestions rather than disjointed SKU lists. That editorial coherence is a differentiator for fashion shopping.
  • New customer acquisition channel for merchants. Placement inside Copilot is a premium discovery surface: merchants gain exposure at the precise moment of intent without relying solely on search ads or marketplace listings.
  • Retailer variety at launch. The initial merchant roster spans direct retail (REVOLVE), footwear (Steve Madden), rental models (Rent the Runway), and value-forward brands (Lulus), demonstrating that the model can surface diverse commerce models and price tiers.
  • Platform extensibility. Copilot Studio templates and a merchant program make it feasible for additional brands and marketplaces to join quickly, which could accelerate catalog depth and category breadth.

Risks, blind spots, and governance challenges​

  • Inventory and price reliability
    Without public engineering details about synchronization, there’s risk of showing items that are out of stock, incorrectly priced, or unavailable in a user’s region. The public materials do not fully disclose the reconciliation pipelines and SLAs that govern these issues. That gap raises a real risk to user trust and merchant experience if not managed tightly.
  • Undisclosed monetization and placement transparency
    As a discovery surface inside a widely used assistant, Copilot must clearly disclose paid placements and sponsored content. The industry trend is toward refined policies and labeling; Microsoft will likely update its ad and disclosure rules as the commerce use case matures, but initial materials do not fully specify how editorial curation vs. paid promotion will be differentiated for users.
  • Privacy and personalization controls
    Personalized curation demands access to signals that might include browsing behavior, location, calendar context, and past purchases. Users and regulators will expect clear consent, opt‑out mechanisms, and data minimization. The public launch messaging references personalization but does not detail data retention, logging, or how user data will be scoped across Microsoft and partner systems. Strong, verifiable privacy controls will be necessary to avoid backlash or regulatory scrutiny.
  • Algorithmic bias and stylistic diversity
    An editorial curation engine trained on retailer assortments and trend signals can inadvertently over-index certain looks, sizes, or aesthetics. That creates risk for under-representation of body types, price points, or culturally specific styles. Ensuring diverse data inputs and human editorial oversight will be important guardrails.
  • Behavioral nudging and attention economy concerns
    Embedding commerce into everyday assistant interactions raises ethical questions about nudging users toward purchases during otherwise non-commercial moments. Clear opt-in models and transparent monetization will be required to separate helpful discovery from manipulative commerce experiences.
  • Operational complexity for merchants (returns, rentals)
    The presence of rental models (Rent the Runway) alongside purchases complicates fulfillment, returns, and customer expectations. Converting inspiration into a rental vs purchase must be clearly signposted to avoid confusion and logistic friction.

What to watch next: practical signals that will validate this rollout​

  • Merchant onboarding velocity — Are more brands joining, and what categories are represented? Fast onboarding would indicate the Copilot Merchant Program and Copilot Studio templates are effective.
  • Inventory sync incident rate — Publicly reported or merchant-shared metrics on mismatches between Copilot results and live availability will be an early reliability metric. Look for merchant case studies describing SLA and reconciliation processes.
  • Disclosure and labeling policy updates — Watch for Microsoft policy changes that codify ad labeling, sponsored placement rules, and consumer opt-outs for personalized shopping.
  • Independent measurement of engagement and conversion — Third-party analytics or merchant case studies confirming or challenging claims like “3x engagement” will determine the real commercial lift and ROI. Treat vendor ROI statements as provisional until independently verified.
  • Consumer privacy controls — Evidence of clear, accessible privacy settings within Copilot (including data retention and scope of personalization) will be a sign that Microsoft is taking governance seriously.

Practical guidance for merchants and retailers​

  • Prioritize catalog fidelity. Ensure product feeds include near-real-time availability, regional pricing, and SKU-level metadata so curated edits are shoppable and trustworthy.
  • Define editorial parity and ad policy. Negotiate placement rules and labeling upfront: specify when a paid placement appears, how it’s disclosed, and how editorial integrity is preserved.
  • Prepare fulfillment and returns processes for conversational-origin traffic. Expect different conversion patterns (intent vs impulse), and ensure returns, size availability, and rental flows (if applicable) are cleanly integrated.
  • Instrument measurement. Require transparent attribution and analytics from any conversational commerce partner so you can evaluate incremental lift, engagement, and downstream unit economics. Vendor ROI figures should be audited or independently measured.
  • Ask for human governance. Demand human-in-the-loop review mechanisms and diversity checks to avoid biased or repetitive stylistic outputs that could harm brand perception.

A short technical checklist for product and engineering teams​

  • Implement inventory reconciliation with clear cache expiry and fallback logic.
  • Standardize taxonomies and image metadata for visual composition and palette matching.
  • Audit privacy flows and consent records tied to Copilot interactions.
  • Provide a “why this” affordance in the UI so users understand why items were recommended (signals used).
  • Maintain immutable logs for troubleshooting and audit of recommendations and click-throughs.

Conclusion: measured optimism​

The Curated for You + Microsoft Copilot activation is an important milestone for conversational commerce: it pairs an editorial, lifestyle-first curation engine with an assistant embedded in many of users’ daily touchpoints. The combination — reach + curation + merchant grounding — can meaningfully shorten the path from inspiration to purchase if the integration is executed with operational rigor.
At launch, the concept checks the right strategic boxes: editorial coherence, recognizable merchant partners, and platform-level tooling for merchant onboarding. But the long-term test will be operational reliability (inventory and pricing fidelity), transparent monetization and labeling, robust privacy controls, and human editorial governance. Vendor claims about engagement and revenue are promising but remain vendor-supplied until independent case studies confirm the numbers.
If Microsoft, Curated for You, and participating retailers deliver rigorous engineering SLAs, clear disclosure, and concrete privacy guarantees, this could become a durable new discovery channel for fashion. If those operational and governance challenges remain underspecified, the experiment risks being an instructive early example of how generative interfaces can fail when the plumbing and policies are not mature.

Note: this analysis is grounded in the public launch materials and early industry reporting; vendor performance claims should be treated as provisional until independent, third‑party measurements are published.

Source: Retail Customer Experience Microsoft, Revolve launch AI-driven fashion experience
 
Microsoft and Curated for You have quietly crossed a major line between inspiration and checkout: starting Sept. 17, Microsoft Copilot users can ask natural-language fashion questions — “What should I wear to a beach wedding?” or “Outfit ideas for Italy” — and receive context-aware, shoppable visual curations powered by Curated for You that place product edits from Revolve, Steve Madden, Tuckernuck, Rent the Runway and Lulus directly inside the Copilot interface.

Background​

This collaboration formalizes a trend that’s been building across retail and platform companies: shipping AI-powered, conversational product discovery directly into general-purpose assistants and shopping surfaces. Curated for You, an AI-first merchandising platform, positions itself as a bridge between event- and lifestyle-led inspiration and transactional retail experiences; Microsoft positions Copilot as the everyday AI companion where those moments of inspiration naturally occur. The partnership was announced via a Sept. 17 press release and has been rolled into Copilot’s shopping experience as a live capability.
The move follows Microsoft’s broader push to embed commerce capabilities into Copilot and its Microsoft Cloud for Retail initiatives, which include copilot templates and shopping tools for retailers to integrate conversational shopping experiences across apps and sites. Microsoft has been iterating on how Copilot surfaces shopping recommendations — including native shopping cards and checkout flows — as part of a larger strategy to make Copilot a commerce touchpoint.

What exactly is live in Copilot?​

The user experience: conversation to curation to cart​

  • A user types (or speaks) a natural-language prompt into Copilot such as “What should I wear to a holiday party in NYC?”.
  • Curated for You’s engine interprets event context, trends, and retailer catalogs to generate visual stories — editorial-style, shoppable image-first curations — shown right in the Copilot interface.
  • Users can click products, follow through to product pages, and complete purchases, shortening the path from inspiration to transaction.
This is not just a keyword match; Curated for You emphasizes event, mood, weather, and trend signals in its merchandising model to produce lifestyle recommendations rather than traditional category-based lists. Those visual, narrative-led experiences are the platform’s differentiator and the basis of its claim that visual stories outperform classic ads and product grids. That claim appears prominently in the company’s marketing materials and press coverage.

The retailers involved (launch partners)​

At launch, five retail partners are live within the curated Copilot experience: REVOLVE, Steve Madden, Tuckernuck, Rent the Runway, and Lulus. These brands are being positioned as early-stage proof points for the format — a mix of fast-fashion, rental, and specialty retailers that rely on strong visual merchandising.

Why this matters: market context and consumer behavior​

Conversational search is already mainstreaming​

Multiple industry surveys show consumers are increasingly comfortable switching from keyword search to natural-language, AI-driven shopping assistants. Bloomreach’s consumer research found large majorities reporting conversational search habits and that 93% of shoppers consider conversational capabilities important for ecommerce experiences. The report also found that over half of respondents had used general-purpose AI tools like ChatGPT or Gemini to help with shopping. These findings help explain why embedding fashion discovery into Copilot is timely.

Generative AI traffic is changing conversion dynamics​

Adobe’s analytics and accompanying reports show generative-AI-originated traffic has surged and that the conversion profile across categories is shifting: electronics and jewelry had notably higher conversion rates from generative-AI-driven visits, while apparel conversions lagged in raw terms — though Adobe notes the gap is narrowing as consumers grow comfortable completing transactions after AI dialogs. Adobe also reported large percentage increases in AI-driven referral traffic to retail sites, illustrating how quickly discovery patterns have moved. Put simply: AI is driving more discovery, but the path to purchase remains category dependent and improving over time.

The technology and the integration​

How Curated for You works (high level)​

Curated for You combines retailer catalog data, historical performance metrics, and real-world signals (trends, events, weather) into an agentic merchandising engine that generates visual story edits. The platform’s proposition is to turn transactional product feeds into contextual, aspirational experiences that match a user's life moment. These are delivered as image-first stories rather than a long product list. These capabilities are described in company materials and the joint announcement. Company-published performance figures — such as claims of “3x engagement” and “millions in revenue” driven by visual stories — are presented as case-study-level metrics from Curated for You’s own data and should be treated as vendor-supplied unless independently verified.

How Microsoft surfaces the experience​

Microsoft’s Copilot ecosystem now includes commerce templates and shopping features that allow third-party discovery engines to plug into the assistant environment. Microsoft’s retail-focused copilot templates and shopping tools have been available to partners for over a year and provide the scaffolding — dialogue handling, UI cards and commerce flows — so that a partner like Curated for You can surface curated content directly inside Copilot. Microsoft has also been iterating on Copilot’s footprints across devices, bringing voice activation and richer app experiences to Windows and other endpoints.

Business implications: for retailers, platforms and shoppers​

For retailers: discovery at intent-rich moments​

  • This integration places retailer catalogs into a new discovery channel where users explicitly seek outfit inspiration — an intent-rich moment that can increase basket size and emotional affinity.
  • For fashion brands, the benefit is twofold: reach within Copilot’s user base, and placement inside lifestyle-led editorial contexts rather than commoditized search results.

For Microsoft: stickiness and monetization​

Copilot becomes more than a productivity assistant; it becomes a lifestyle concierge that can keep users within Microsoft’s surfaces during initial inspiration and potentially through checkout. That increases user engagement time and creates new monetizable inventory: promoted curations, affiliate integrations, or retail media placements inside Copilot. Microsoft’s prior investments in retail copilot templates show a clear roadmap for converting discovery into partner revenue while preserving the conversational experience.

For shoppers: convenience and personalization — with caveats​

Users get faster, human-like outfit advice and curated product discovery without hopping between retailer sites. In practice, that reduces friction: inspiration → product detail → checkout. But convenience comes with trade-offs described in the Risks section below. Adobe and Bloomreach data suggest shoppers appreciate conversational discovery but still value clarity about sourcing, pricing, and returns before purchase.

Critical analysis: strengths, trade-offs and open questions​

Strengths and notable opportunities​

  • Natural-language intent: The move directly answers consumer demand for conversational search, aligning with Bloomreach’s findings that shoppers increasingly prefer human-like queries.
  • Contextual discovery: Visual narratives tied to events and mood make fashion discovery feel aspirational rather than transactional, a format proven to increase engagement in commerce tests. Curated for You’s visual-story approach is well-suited to fashion’s aesthetic-driven purchase decisions.
  • New commerce surface: Copilot extends beyond productivity into lifestyle moments, offering Microsoft a broader addressable monetization and retention play. Microsoft’s existing copilot shopping templates and in-app shopping features lower integration friction for partners.

Risks and trade-offs​

  • Privacy, data sharing and profiling: Enabling personalized curations requires data — past purchases, sizes, style preferences, location, and possibly calendar context. How that data flows between Copilot, Microsoft, Curated for You, and participating retailers is critical. Enterprises and privacy-conscious consumers will demand clarity on what is stored, who can read it, and whether personalization can be turned off. Microsoft’s enterprise controls and Copilot account boundaries (consumer vs Entra/enterprise) complicate the picture and will matter for adoption in work-managed devices.
  • Vendor claims vs. independent verification: Curated for You’s performance claims (e.g., “3x engagement” or “millions in revenue”) are currently vendor-sourced. Those are plausible for visually-driven formats but should be treated as marketing claims until third-party measurement or independent case-study data is available. Caveat emptor applies for marketers and publishers citing these metrics.
  • Category conversion variance: Adobe’s analysis shows apparel conversions from generative AI traffic historically lag other categories, though they’re improving. This suggests fashion brands may see discovery increases but modest immediate uplift in direct conversions compared with categories like electronics and jewelry. Retailers must plan for a longer funnel that values engagement and repeat visits as success signals.
  • Bias and aesthetics: Algorithmic curations can inadvertently favor certain body types, cultural aesthetics, or price brackets, reproducing bias at scale. Retailers should validate that curations are inclusive, representative and account for size diversity and accessibility. Copilot and Curated for You must provide tooling to measure and correct for biased outputs. This is both a product and ethical imperative.
  • Merchant concentration and discoverability: Large or paying partners could dominate curated slots, making it harder for smaller brands to surface without advertising spend. The result could be an uneven discovery landscape where editorial discovery is increasingly monetized. Platforms need transparent rules and neutral ranking signals to preserve discovery integrity.
  • Returns and fit friction: Fashion has high return rates driven by fit and expectation mismatch. If Copilot’s visual curation encourages impulse buys without robust size guidance, the result could be higher return rates that erode margins. Integrations with sizing tools, AR try-ons, or rental options (Rent the Runway) can mitigate this, but not all partners have those capabilities.

Regulatory and enterprise considerations​

  • Data governance: Enterprises using Copilot on managed devices should review Entra/Microsoft 365 configurations and Copilot-related policies. Microsoft has distinct behaviors for consumer Copilot apps versus enterprise-authenticated experiences; admins will want to control data routing and prevent unwanted telemetry leakage.
  • Disclosure and transparency: Regulated markets are increasingly requiring clear disclosure when recommendations are sponsored or part of a paid placement. Copilot’s UI design must make native recommendations distinguishable so consumers can make informed choices.
  • Competition and antitrust scrutiny: As platforms like Microsoft fold commerce into general-purpose assistants and own more of the interface between consumers and retailers, regulators may scrutinize preferential treatment, self-preferencing, or gatekeeper leverage. The more Copilot becomes a default discovery surface, the more important neutral access terms will be for retail partners.

How this affects Windows users specifically​

  • Copilot’s presence on Windows: Copilot now exists as an app and voice-enabled assistant across Windows devices, with features like “Hey, Copilot” rolling out to Insiders and Copilot apps available from the Microsoft Store. Microsoft’s ongoing updates to Copilot on Windows (and periodic issues with updates) mean the exact UX can change rapidly, but the platform-level availability of Copilot on Windows makes this fashion integration immediately relevant to desktop users.
  • Privacy settings and enterprise controls: Windows admins can use group policies and Microsoft’s enterprise management tools to control Copilot installs and data flow. Users and administrators should verify whether Copilot shopping queries are saved to cloud profiles and whether personalization can be limited or disabled on shared devices.
  • Device parity: Adobe’s data shows conversational AI shopping traffic skewed to desktop. Windows users interacting with Copilot on laptops and desktops will likely see the richest conversational shopping experiences compared with mobile right now. Retailers optimizing for Copilot should ensure desktop flows and checkout experiences are smooth and secure.

Concrete recommendations​

  • For retailers:
  • Treat Copilot and assistant-based discovery as brand-building and top-of-funnel channels initially; measure engagement and assisted conversion, not just last-click metrics.
  • Invest in accurate, structured product metadata (size, fit, material, occasion tags) so curation engines can recommend appropriately.
  • Negotiate transparent placement policies and reporting with platform partners to avoid hidden bias or favoring.
  • For consumers and Windows users:
  • Review Copilot privacy and personalization settings in the Copilot app and Windows account to manage how preference signals are stored and used.
  • Look for clear disclosure when a recommendation is paid or promoted; treat visually compelling suggestions like any other ad until you confirm price, returns, and authenticity.
  • For Microsoft and partners:
  • Publish clear documentation on data flows, opt-outs, and how curations are ranked.
  • Provide inclusivity audits and fairness metrics for fashion curations, plus tools for retailers to review and correct bias.

What remains uncertain​

  • The exact business model and monetization terms for Copilot-curated commerce remain opaque: how much revenue share, affiliate fees, or retail-media placements will Microsoft capture, and how transparent will those economics be to partner brands? Early press coverage and PRs outline the experience but not the commercial terms.
  • The scale and durability of conversion uplift in apparel remain an open question. Adobe’s data shows a shifting but still uneven conversion landscape by category; sustained performance will depend on UX refinements, size accuracy, and trust signals.
  • Third-party verification of Curated for You’s engagement and revenue multipliers is limited in public sources; interested parties should ask for independent measurement or shared analytics before making budget decisions based on vendor claims. Vendor-provided metrics should be validated.

The bottom line​

Microsoft’s integration with Curated for You brings conversational, visual fashion discovery into the everyday AI companion millions of users already access, combining event-aware merchandising with Copilot’s conversational surface. For retailers and brands, this represents a promising new discovery channel; for consumers, it promises faster, more natural outfit inspiration directly in their assistant. But the initiative also amplifies long-standing retail questions in a new context — privacy, merchant fairness, bias, and the true path from inspiration to profitable purchase.
The partnership is a natural next step in the evolution of conversational commerce: it aligns with Bloomreach’s finding that shoppers increasingly prefer conversational search and with Adobe’s observation that generative-AI traffic is reshaping retail funnels. Yet, vendor-sourced performance claims and the still-maturing conversion profile for apparel mean that optimistic headlines should be tempered with rigorous measurement and transparency from all parties involved.

Curated visual discovery inside Copilot is a clear signal that the next wave of retail interfaces will be conversational, context-aware and deeply visual — but success will hinge on transparent data practices, measurable uplift beyond engagement metrics, and a commitment to fairness and accessibility across the fashion stacks that feed those recommendations.

Source: Retail Dive Microsoft, Curated for You collaborate on AI-based fashion discovery