Zeer Perry Ellis International / intent / perry-ellis-international

Perry Ellis International

501-1000 employees·Doral, Florida, United States·careers.pery.com

Observed, not inferred · updated weekly

Buying intent

24 tracked signals | Top 15 topics are below | Sales is carrying most of it.

23signals · 30 days
16topics tracked
50%attributed to a team

Attention by team

LinkedIn activity, by team

Where Perry Ellis International's own people are actually spending their attention, by team, by topic. Bands run Low to High against the busiest pairing on this page, and each cell also shows how much of that team's own activity it represents.

Artificial Intelligence
AI Agent Software
API Design
Travel and Hospitality Industry
Smart Routing
Computer Vision
Sales
High57% of team Sales to Artificial Intelligence: High, 57% of this team's signals
Low14% of team Sales to AI Agent Software: Low, 14% of this team's signals
Sales to API Design: no signal
Sales to Travel and Hospitality Industry: no signal
Low14% of team Sales to Smart Routing: Low, 14% of this team's signals
Low14% of team Sales to Computer Vision: Low, 14% of this team's signals
Others
High57% of team Others to Artificial Intelligence: High, 57% of this team's signals
Low14% of team Others to AI Agent Software: Low, 14% of this team's signals
Low14% of team Others to API Design: Low, 14% of this team's signals
Low14% of team Others to Travel and Hospitality Industry: Low, 14% of this team's signals
Others to Smart Routing: no signal
Others to Computer Vision: no signal
LowMediumHigh·  banded against the busiest pairing on this page

Topics being researched

30-day window

Every tracked topic, ranked by volume, not by our guess at what matters. Confidence is the classifier's own certainty that a signal belongs where we've filed it.

Artificial Intelligence
LinkedIn
High volume
96%
last
4d ago
AI Agent Software
LinkedIn
Low volume
98%
last
15d ago
API Design
LinkedIn
Low volume
98%
last
30d ago
Travel and Hospitality Industry
LinkedIn
Low volume
98%
last
3d ago
Smart Routing
LinkedIn
Low volume
98%
last
23d ago
Computer Vision
LinkedIn
Low volume
98%
last
6d ago
Design Thinking
LinkedIn
Low volume
98%
last
12d ago
Product Marketing
LinkedIn
Low volume
98%
last
21d ago
Agentic AI System
LinkedIn
Low volume
98%
last
23d ago
Demand Signal
LinkedIn
Low volume
98%
last
6d ago
Retail
LinkedIn
Low volume
94%
last
15d ago
Cold Calling
LinkedIn
Low volume
98%
last
9d ago
Digital Economy
LinkedIn
Low volume
98%
last
23d ago
Customer Intent
LinkedIn
Low volume
96%
last
23d ago
Supply Chain Analytics
LinkedIn
Low volume
98%
last
22d ago

Need intent for a specific topic or industry?

We track the full taxonomy across every account in the graph — including themes not shown on this page.

Talk to us

Who's active at Perry Ellis International

verified title on file

Titles, seniority and topic straight from each person's own activity, with a LinkedIn link so you can check any of them yourself.

Others3 active
researching Artificial Intelligence
in
Executiveresearching Artificial Intelligence
in
researching Supply Chain Analytics
in
Sales1 active
VPresearching Artificial Intelligence
in

Primary products / business lines

LinkedIn company profile

Perry Ellis International, Inc. is a leading designer, distributor and licensor of a broad line of high quality men's and women's apparel, accessories and fragrances. The company's collection of dress and casual shirts, golf sportswear, sweaters, dress pants, casual pants and shorts, jeans wear, active wear, dresses and men's and women's swimwear is available through all major levels of retail dis

Top accounts researching Perry Ellis International

names withheld on the public page

These are companies whose own people brought up Perry Ellis International unprompted, not accounts we guessed might be interested. We can't yet tell an implementation partner from a genuine buyer here, names unlock along with the buyer profile below.

129,094 companies · 649,540 people are researching Artificial Intelligence

Perry Ellis International's own team shows 8 signals on this topic. No one outside Perry Ellis International has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • AI Agent Software22,142 cos · 74,480 people
  • API Design424 cos · 1,205 people
Sign up to see which companies →

Buyer profile

company size · seniority

Company size and how senior the people involved are, the two things that decide whether this is a real deal. Competitor overlap isn't computed yet for this account.

Unlock the buyer profile

Company-size breakdown and buyer seniority mix for accounts researching Perry Ellis International.

Company size breakdown
Buyer seniority mix

Sign up to learn more

Create an account to explore buyer insights as they become available.

Sign up to learn more →

Buying committee functions

Employee job titles (LinkedIn)

Leadership — 1 person; Sales — 1 person

What's been said

public posts by Perry Ellis International's team

No public post naming Perry Ellis International has surfaced in the past year, so this is what Perry Ellis International's own team is posting about publicly — their topics, in their words.

LinkedInArchitecture framework

Architecture diagrams don’t enforce architecture. Tests do. Every project starts clean: - Layer boundaries are agreed - Dependency rules are clear - Naming conventions make sense - The folder structure looks intentional Then six months pass. A domain service ends up in Infrastructure. A handler gets named `ProcessPaymentService`. A class that should be `internal` becomes `public`. A NuGet dependency leaks into the wrong layer. Nobody meant to break the architecture. But nobody caught it either. That’s why I like architecture tests. They turn your architectural rules into automated tests that run in CI. If someone violates a rule, the build fails. The 5 tests I add to .NET projects are: 1. Layer dependency tests 2. Naming convention tests 3. Colocation tests 4. Visibility tests 5. Dependency guard tests They run fast. They don’t need infrastructure. And they document the architecture in a way the build can actually enforce. Start with layer dependency tests. They take a few minutes to add and catch the most damaging violations. Then add the rest as your codebase grows. I wrote a full breakdown with ArchUnitNET, xUnit, and reflection examples here: https://lnkd.in/dZSYBgtt

May 2026
LinkedIn

Most monoliths don’t fail because they’re monoliths. They fail because everything can touch everything. That’s the real difference between a regular monolith and a modular monolith. A regular monolith can be well-structured. You can have folders, layers, Clean Architecture, Vertical Slices, and still end up with hidden coupling everywhere. The problem usually starts small: One feature needs data from another area. So you reference its entity. Then another use case needs some logic. So you call into that service. Then a query needs more data. So you join across tables. None of this feels wrong in the moment. But over time, the boundaries disappear. A modular monolith is still deployed as one application. But the key difference is that module boundaries are enforced: - Separate projects - Clear ownership - Public APIs between modules - Controlled dependencies - Optional database/schema isolation The goal isn’t to make the code “look modular.” The goal is to make coupling explicit. That’s what gives you flexibility later if one part of the system needs to move into its own service. I break down the difference using the same app implemented both ways here: https://lnkd.in/dB_7brFt

May 2026
LinkedIn

Long-running API requests are a scalability problem hiding as a user experience problem. The obvious approach is simple: User sends request → API does the work → API returns the result. That works fine until the request takes several minutes. Now your API is holding requests open. Users are staring at a loading screen. Traffic spikes become much harder to handle. And your app server is doing two jobs at once: serving regular API traffic and processing expensive work. A better progression: Return 202 Accepted immediately Store the work in a jobs table Process it in the background Let users check status or receive async notifications Introduce a queue when you need buffering Scale with competing consumers The key idea: Your API should accept the work. Your workers should process the work. Your queue should absorb the spikes. I break down the full architecture step by step here: https://lnkd.in/dX5eSucP

May 2026
LinkedInArtificial Intelligence

𝗔 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹 𝘁𝗵𝗶𝗻𝗸 𝘁𝗮𝗻𝗸 𝗼𝗻 𝗹𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽, 𝗴𝗿𝗼𝘄𝘁𝗵 𝗮𝗻𝗱 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 Leadership is often defined by vision. But vision on its own is not enough. Yesterday we had our final session of the #Women2Top programme of EJE&CON Asociación Española de Ejecutiv@s y Consejer@s , which I’ve had the privilege to share with 19 exceptional women. Over the past months, it has felt like a kind of practical think tank: a space to reflect, challenge ideas and exchange perspectives across very different topics, from communication to innovation, from strategy to mindset. The closing session brought together two very different conversations that, in reality, converged around the same idea. On one side, we explored with Eva García Saiz growth mindsets in high-performing organisations. What defines them is not only ambition, but how attention and resources are allocated: 🔘 Clarity of intent and disciplined execution 🔘 The ability to act with boldness in volatile environments 🔘 A systematic approach to listening to customers 🔘 Building teams truly centred around growth 🔘 Mitigating risk through rigorous execution CEOs spend around 47% of their time firefighting, while only 16% is dedicated to long-term strategy. The implication is quite clear: without focus, even the best strategy gets diluted in execution. Innovation is a topic I always come back to. And in that respect, AI is becoming one of the most relevant levers. We discussed how AI is evolving, from assisted search and multimodal capabilities to its growing impact on customer experience, security and identity. What became evident is that the real challenge today is how intentionally it is applied. There was a particularly insightful reflection during the session: when AI is approached through isolated use cases, it generates “gold dust”. (Thanks, Gracia Sánchez-Vizcaíno , for this definition) When it is aligned with strategic priorities and embedded in processes, it becomes something much more substantial. The second part of the session had a personal dimension for me. Listening to Dora Casal was especially meaningful, having worked at Roberto Verino Oficial earlier in my career. It was interesting to see how the company is evolving today, while maintaining clarity around its core pillars: digitalisation, internationalisation and customer experience. What I found common to both conversations was all about attitude: curiosity, energy and a clear sense of direction. Thanks María del Castillo, PhD , Raquel Duque Rubio , SABRINA FEMENIA MULET y Carlos Hernandez Puente for creating a space that genuinely challenges how we think about leadership today. #Leadership #Innovation #AI #BusinessStrategy

Apr 2026
LinkedInFinancial Services

𝗧𝗵𝗲 𝟭𝘀𝘁 𝗘𝗱𝗶𝘁𝗶𝗼𝗻 𝗼𝗳 𝗧𝗵𝗲 𝗡𝗲𝘄 𝗥𝗲𝘁𝗮𝗶𝗹 𝗔𝘄𝗮𝗿𝗱𝘀 𝘐𝘯 𝘳𝘦𝘵𝘢𝘪𝘭, 𝘯𝘰𝘵𝘩𝘪𝘯𝘨 𝘪𝘴 𝘦𝘷𝘦𝘳 𝘨𝘶𝘢𝘳𝘢𝘯𝘵𝘦𝘦𝘥. 𝘞𝘦 𝘩𝘢𝘷𝘦 𝘵𝘰 𝘸𝘪𝘯 𝘵𝘩𝘦 𝘤𝘶𝘴𝘵𝘰𝘮𝘦𝘳 𝘣𝘢𝘤𝘬 𝘦𝘷𝘦𝘳𝘺 𝘴𝘪𝘯𝘨𝘭𝘦 𝘥𝘢𝘺 That’s probably why it felt so meaningful to celebrate the industry last night in the ILUNION Hotel in Madrid. When David Bravo Martín first called me to propose that I chair the jury and present the first edition of #TheNewRetailAwards , I knew it was one of those things you simply say yes to because of the team behind it, and because of what they are building for the industry. The Gala was the result of a process that aimed to recognise innovation in retail. As David highlighted in his opening remarks, we are talking about innovation with a capital “I”. Not limited to technology, AI or robotics but something much broader: empathy, creativity, purpose, and emotion. Over the past weeks, the jury went through a rigorous evaluation process across 12 categories: from fashion, beauty and sports to luxury, home or travel reviewing initiatives, approaches and results with these "innovation lenses". Congratulations to all the winners, and especially to the Gold award recipients: 🥇 Fashion → MANGO 🥇 Automotive → BMW Group 🥇 FMCG → Carrefour 🥇 Beauty → L'Oréal 🥇 Sports and Leisure → Nike 🥇 Financial Services → Bizum 🥇 Luxury → Loewe 🥇 Electronics → Amazon 🥇 Home → IKEA 🥇 Pharma → ISDIN 🥇 Travel → Iberia 🥇 Convenience → repsol And to the special awards: MediaMarkt España , ILUNION , Nestlé Nespresso SA and Mahou San Miguel . And as my co-host for the evening, Carlos Gómez González , said: The Retail industry should aspire to be a leading industry in this country. Thank you to The New Retail News team led by Raúl Alvear Naranjo : Onintze Gutierrez , Raylí Luján , Gabriela D'Elia Bauder , and to David Plaza Muñoz , Ángeles Sánchez Morillas and Leyla Moncada and to everyone involved in building something that helps to elevate the conversation in the industry. Guys, you rock! 🚀 Thanks also to all the sponsors for supporting all the way through the idea to reality: Alkemy Group , t2ó , REETMO MEDIA , Webloyalty , TRISON , Summer of 69 and After #Retail #NewRetailAwards #Innovation #BusinessStrategy #RetailSpain

Apr 2026

About this data. Perry Ellis International (careers.pery.com). Department attribution is 50%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries