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Stride USA brings together the people responsible for turning footwear ideas into global assortments: Designers, PLM leaders, digital innovation teams, merchandising heads. The conversations in Portland tend to be practical, grounded in deadlines, segmentation pressure, and calendar realities.  This year, the themes shaping those conversations are clear: infrastructure maturity, connected workflows, and controlled intelligence.  Here is what that means in operational terms.  1. Design Is Becoming Structurally Integrated   Footwear design teams are navigating a more complex environment than ever.  AI-assisted design platforms are accelerating ideation. 3D pipelines are expanding. Storytelling moves faster across digital channels. Yet every creative output still needs to connect to merchandising logic, segmentation strategy, pricing tiers, and regional sell-in.  Creative work is increasingly expected to enter structured ecosystems early.  When design lives in isolation, teams manually rebuild context downstream:  Attributes get re-entered  Assets get re-tagged  Naming conventions drift  Regional edits fork into separate datasets  As collections scale globally, that duplication compounds.  The shift underway is toward connected product ecosystems, where early concepts, visual assets, and structured attributes flow directly into planning and sell-in workflows. When design and assortment share the same data foundation, creative intent stays intact while the organization moves faster.  For footwear brands managing multi-region assortments, this structural integration reduces rework and preserves clarity across seasons.  2. Pricing Volatility and Tariffs Are Testing System Maturity   Tariffs are no longer an abstract policy topic. For footwear, they are a direct operational pressure.  Earlier this year, leading footwear companies publicly warned that stacked tariff rates could reach levels exceeding 150 percent to nearly 220 percent on certain categories. For many brands, especially those serving price-sensitive segments, absorbing or passing through that cost is not a simple pricing exercise. It is a margin and survival question.  The operational challenge is immediate.  When tariffs shift:  Price lists need revision  Regional margins must be recalculated  Account-level impacts require visibility  Forecasts and financial targets need updating  In many organizations, this still happens in spreadsheets . Price updates are distributed manually. Totals are recalculated locally. Regional teams adjust in parallel. Reconciliation follows.  That model does not hold under volatility.  A connected pricing layer changes the dynamic.  Within Trasix, pricing updates can be managed centrally and rolled up automatically across:  Regions  Channels  Accounts  Style-level assortments  Financial impacts are visible in real time because the system is already connected to structured assortment data. There is no need to reconcile disconnected files.  For PLM teams, pricing governance under volatility is particularly difficult when product data, segmentation logic, and commercial views live in separate tools. When pricing operates inside a connected workspace, it becomes a controlled source of record rather than a reactive spreadsheet exercise.  3. 3D and Digital Must Evolve Into Infrastructure   Most footwear brands have already piloted 3D. Many have advanced visualization capabilities.  The operational challenge now sits elsewhere.  Parallel systems remain common:  PLM stores technical specifications  DAM stores assets  ERP governs pricing and availability  Sales teams rebuild decks for each account  Manual reconciliation across these environments slows calendar velocity and increases error risk. Regional segmentation multiplies complexity further. A global assortment might spawn dozens of localized variations, each requiring alignment back to a master definition.  Digital maturity now depends on system-level architecture.  A scalable foundation includes:  A single structured assortment dataset  Controlled segmentation logic  Real-time synchronization with ERP and PLM  Clear lineage between global definitions and regional adaptations  When this backbone exists, digital tools extend capability rather than fragmenting it.  Footwear brands operating across wholesale, DTC, and marketplace channels need this alignment to maintain speed without sacrificing governance.    4. AI Is Moving Inside Operational Workflows   AI will be present throughout Stride discussions. The meaningful differentiation lies in how it is embedded.  AI operating outside core systems often introduces additional steps:  Export data  Run analysis  Re-import outputs  Reconcile changes  Embedded intelligence changes the workflow dynamic.  Within Trasix, our own Tracy AI is designed as an assistive layer directly inside the assortment environment. It supports:  AI Vision to enrich product metadata in alignment with brand taxonomy  Natural-language search across large assortments  Reverse image lookup to identify reuse and duplication  Context-based suggestions grounded in existing data  The key is governance.  Outputs remain reviewable. Taxonomy alignment is controlled. Human ownership of decisions remains intact.  For footwear leaders, AI maturity means:  Integrated into daily workflows  Aligned to structured data  Governed within enterprise systems  This approach reduces manual effort while preserving operational accountability.    5. Sustainability Is Becoming Operational   Footwear sustainability discussions increasingly intersect with product data structure.  Reducing physical sampling depends on reliable digital assets. Precision segmentation reduces overproduction. Circularity programs require traceable product definitions. Digital asset reuse requires searchable, structured metadata.  Disconnected datasets undermine these efforts.  When assortment planning, digital assets, and segmentation logic operate from a unified workspace, sustainability initiatives gain operational leverage rather than remaining aspirational.  In global footwear organizations, small inefficiencies multiply quickly across SKUs and regions. Structured workflows provide the visibility needed to reduce waste systematically.    Questions Footwear Leaders Should Be Asking in Portland   Stride attendees responsible for product creation and digital transformation may want to reflect on:  How many systems rebuild the same assortment dataset?  Are teams collaborating on one source of truth or reconciling multiple versions?   Where does segmentation logic live, and who governs it?  Can designers build and showcase collections that are directly connected to structured data, without re-entering information downstream?  Are regional variations traceable back to a master definition?  Does AI operate within structured workflows or outside them?  Infrastructure decisions made today determine calendar speed next season.    Our Closing Thoughts   Footwear product creation is entering a phase defined by integration depth.  Global assortments, regional nuance, digital pipelines, and AI-assisted workflows require alignment at the data layer. Without it, complexity compounds.  Brands that reduce duplication and embed intelligence inside structured workflows gain clarity across design, merchandising, planning, and sell-in.  If you’re heading to Portland for Stride 2026 and these challenges are familiar, we’d welcome the conversation.

We are proud to announce that Trasix is now ISO/IEC 27001:2022 certified, with certification issued by TNV. A milestone that highlights our ongoing commitment to data security, privacy, and operational excellence. As our platform continues to grow alongside global clients, this certification reinforces our position as a trusted partner for teams who rely on our tools to manage product data and collaborate securely. This achievement is the result of thoughtful investment, rigorous audits, and the incredible work of our tech and compliance teams. We remain focused on building a platform that is not only powerful and flexible but also safe. The ISO/IEC 27001:2022 certification is part of a broader vision: to offer secure, scalable solutions that support your entire product lifecycle from concept to sell-in. It is another step forward in ensuring that every interaction with our teams and on our platform is protected by global best practices. With the ISO/IEC 27001:2022 certification, we reaffirm our commitment to building a platform that brands can trust, not just for product data management, but for the entire go-to-market journey. Trasix: Powered by tech, built for flow. Certified for Trust. Experience Industry-Leading Security with Trasix. Explore our platform solutions or book a demo to see how we are powering secure, connected go-to-market and product lifecycle journeys, from first sketch to final sell-through. Verify our certification listed on the official IAF CertSearch directory here .

Job Location: Remote About Trasix Trasix DMCC builds an innovative digital solution that support product presentation, order processing, and large-scale B2B workflows for global fashion and sporting brands. We place strong emphasis on intuitive design and seamless user experiences - and you will help shape the future of that experience Overview We are looking for a UX Designer to craft intuitive, user-focused experiences across our web-based application. You will turn user insights, business requirements, and product goals into clear, thoughtful design solutions. This role offers the opportunity to shape interfaces used daily by enterprise customers worldwide Responsibilities Conduct user research and usability testing to inform design decisions. Develop wireframes, user flows, prototypes, and interaction designs. Collaborate closely with product managers and developers to ensure design feasibility and consistency. Present design concepts, iterate based on feedback, and refine solutions using data and user insights. Maintain and evolve design systems, UI patterns, and usability guidelines Requirements Bachelor’s degree in UX, HCI, Design, or a related discipline. 4+ years of experience in UX design. Strong portfolio demonstrating UX thinking, problem-solving, and end-toend design work. Proficiency in tools such as Figma, Sketch, or Adobe XD. Solid understanding of user-centered design principles, usability, and responsive web design. Clear communication and presentation skills, with the ability to explain design decisions effectively Why Join Us Shape the user experience for a platform used by major global brands. Work in a product environment that values research, testing, and thoughtful design. Collaborate closely with engineering and product teams to bring ideas to life. Help elevate UX standards across our growing platform Interested in this role? Send your CV and cover letter to info@trasix.com   to apply.

Fashion teams manage two streams of work in parallel: creative exploration and product planning. Both are critical, and both move quickly. Historically, these streams have lived in separate tools, owned by different teams, and connected through manual handoffs.  The Raspberry AI × Trasix integration is designed to change how those streams connect in practice. It allows AI-generated design concepts created in Raspberry AI to move directly into Trasix, where teams plan assortments, review options, and align across design, merchandising, and sales.  This article explains how this integration works, step by step, and why it matters for teams managing complex, global assortments.    What Raspberry AI Brings Into the Workflow   Raspberry AI is an AI design platform built for fashion and retail teams. Designers use it to generate and explore design concepts, prints, and patterns using prompts, reference images, and natural language.  The value of Raspberry AI sits early in the product lifecycle. It accelerates creative exploration while staying grounded in brand context, design intent, and production realities. Instead of static inspiration boards or disconnected files, teams can quickly generate options that are ready to be reviewed and discussed.  The integration ensures those early outputs don’t remain isolated inside design tools.      Where Trasix Fits   Trasix is where cross-functional teams plan collections, structure assortments, and collaborate across regions and channels. Product slots, boards, and reviews inside Trasix act as the shared workspace where decisions are made and tracked over time.  The integration connects Raspberry AI outputs directly into this environment. Trasix continues to sit on top of existing PLM systems, acting as the connective layer across teams and tools rather than replacing upstream systems.    What the Integration Enables   Once connected, teams can:  Export AI-generated designs from Raspberry AI directly into Trasix  Place those designs into specific product slots or boards  Use them as early conce pts, design options, o r approved assets  Review and align on designs inside the same workflows used for planning and assortment decisions  This keeps creative intent visible as collections evolve, without introducing new processes or additional tools to manage.    Integration Setup Overview   The integration is lightweight to enable and does not require changes to existing workflows.  Setup happens inside Raspberry AI :    As an admin, go to Team Settings inside Raspberry  Navigate to Integrations  Connects Trasix using credentials provided by the Trasix team    Once authenticated, designers can export directly from Raspberry AI without additional setup.      Exporting Designs From Raspberry AI Into Trasix   There are two primary export paths, depending on how teams work.    Option 1: Export During Generation   While reviewing a generated design in Raspberry AI:  Select the image  Choose Export  Select Trasix as the destination  Designers are prompted to enter basic metadata, such as:  Asset type (for example: print, pattern)  Color reference  Classification or usage type  Once exported, the design appears inside Trasix as a usable asset.    Option 2: Export From the Library   For designs generated earlier:  Open the Raspberry AI library  Select an existing image  Export to Trasix  Complete the same metadata fields  This allows teams to move selected concepts into planning workflows without regenerating assets.    How Designs Appear Inside Trasix     Exported designs land inside Trasix as board assets that teams can:  Drag into product slots  Add to concept or seasonal boards  Review during line reviews  Reference during assortment planning discussions  Assets remain tied to the product context where they are placed, rather than floating as disconnected files.  Common Team Workflows   Teams are already using the integration in a few consistent ways.  Early Concept Reviews   Designers export multiple Raspberry AI concepts into a single product slot or board. Merchants and planners can review options early, comment, and guide direction before decisions harden.  Seasonal Direction Boards   Concepts are exported into seasonal boards to align on themes, color stories, and silhouettes across regions and categories.  Approved Design Visibility   Final or approved designs can be exported into Trasix so downstream teams work from the same visual reference during planning and sell-in preparation.  Why This Matters at Scale   As assortments grow and timelines tighten, the cost of disconnected workflows increases. Designs created early influence decisions made months later, often by teams that were not part of the original creative process.  This integration ensures:  Creative work is visible earlier  Decisions are made with clearer context  Teams align inside one shared workspace  Existing systems remain in place  Rather than treating creativity and execution as sequential steps, the integration supports a continuous workflow where both inform each other.    Built for Long-Range Planning   The Raspberry AI × Trasix integration is designed for brands planning collections seasons or years in advance, managing large assortments across regions and channels.  It supports the reality of global product development, where speed, clarity, and alignment matter more than isolated tools or one-off outputs.    Availability   The integration is available now. Our team can assist with setup and help customers align on best practices for exporting and using design assets at scale.

A new chapter for how we scale customer delivery at Trasix - we're excited to welcome Patrick McDonald as our new Head of Implementation.    As our customer base grows and organizations become more global, how we support implementation and execution matters more than ever.    Patrick joins Trasix from Under Armour , where he led implementations of Trasix and other complimentary tools across all regions as part of a global digital transformation program . That firsthand experience brings valuable perspective to how enterprise teams actually operate day to day, and how technology needs to support them in practice.    This role is an important step as we continue to help brands move faster, stay aligned, and simplify go-to-market execution without adding unnecessary complexity.    “I'm genuinely delighted to welcome Pat to Trasix” , said Andre Labaki, Chief Executive Officer and founder of Trasix . “ Over the years, Pat has been a trusted partner and friend, working closely with us during the full implementation of our platform at Under Armour and playing a key role in shaping many of the functionalities we've built together. His deep understanding of both our product and our customers makes him uniquely suited to lead our implementations, and I'm excited to continue this journey with him as part of the Trasix team. ”    Patrick has shared a few words on joining the team, reflecting both on his history with Trasix and what drew him into this next chapter:    From long-time customer to team member "I’m thrilled to officially join the Trasix family. This opportunity to join a globally growing business powered by a uniquely talented team is one that I couldn't pass up.   While I’ve been a Trasix “customer” for the past decade, working with Andre Labaki and his team has never felt like a typical client-provider relationship. It has been a true thought-partnership."   Built through real-world collaboration   "We’ve shared the joys of dropping jaws during demos, and we’ve rolled up our sleeves together when presented with unexpected challenges. Through it all, we’ve celebrated when the tool delivers another successful go-to-market milestone.   The time-saving technology we offer at Trasix is incredible, but Trasix differentiates itself by providing world class partnership across the world (covering 6 continents – maybe one day, Antarctica).”   Looking ahead   “With a strong technical foundation and a growing user base, Trasix is positioned for its next phase of growth. I’m excited to help build more global partnerships alongside a team that’s deeply committed to delivering real value.”     Patrick’s perspective, shaped by years on the customer side, is exactly what we value as we continue scaling how we support implementation and execution for global organizations.  Welcome to the team, Patrick!

We’re excited to announce a new native integration between Trasix and Raspberry AI , bringing AI-powered design creation directly into long-term product planning workflows. Raspberry AI is an AI design platform built specifically for fashion and retail teams , enabling designers to explore, develop, and visualize design ideas using prompts, references, and natural language. It accelerates early creative exploration while maintaining brand context, design intent, and production realities. Historically, creative ideation and assortment planning have lived in separate systems. Design concepts are created in one place, reviewed in another, and manually translated into planning tools, often losing important context along the way. This disconnect slows decision-making and makes alignment harder as collections scale.  The Trasix × Raspberry AI integration closes that gap.  Designs created in Raspberry AI can now be exported directly into Trasix, where merchandising, planning, sales, and design teams collaborate on assortments every day. Assets land in specific product slots, either as early concepts or approved designs, and immediately become part of boards, reviews, and planning workflows. Existing PLM systems remain in place, with Trasix acting as the connective layer across teams and tools.  For organizations, this means creative work becomes visible earlier, decisions happen with more context, and alignment improves across functions. Designers stay in the tools they know best. Merchants and planners gain earlier visibility into what’s coming. Teams reduce the manual handoffs that traditionally slow product development. At an industry level, this integration reflects a broader shift toward connected product development , where creativity and execution are no longer sequential steps, but part of a continuous workflow. As collections grow more complex and timelines tighten, the ability to connect design intent directly to planning decisions becomes a competitive advantage.  The Raspberry × Trasix integration is built for brands planning collections years in advance and managing global assortments at scale, helping teams move from concept to assortment with greater speed, clarity, and confidence.

NRF 2026 surfaced a consistent theme across brand sessions, private conversations, and discussions on the show floor: retail organizations are recalibrating how they operate as complexity continues to increase. Assortments are larger. Teams are more distributed. Go-to-market calendars are tighter. And the cost of misalignment, duplicated work, and slow decisions is becoming harder to absorb. Rather than focusing on isolated innovation, many conversations centered on how planning, merchandising, collaboration, and execution fit together as a system. Andre Labaki (Right), CEO of Trasix, and Anne Wong (Left), Chief Revenue Officer, at the Trasix booth during NRF 2026 in New York. Operating at Scale Exposes Fragmentation As retail organizations expand across regions, channels, and categories, fragmentation shows up quickly. Planning in one place, merchandising in another, collaboration scattered across tools, and execution living somewhere else entirely. At NRF, brands were candid about the strain this puts on teams. Manual handoffs slow progress. Disconnected systems introduce inconsistencies. Visibility becomes harder to maintain as assortments evolve and timelines compress. What many teams are looking for now is not another point solution, but a way to connect workflows that already exist, creating a shared operational view without disrupting their broader technology stack. Leaders from Timberland, The North Face, and Vans shared how consumer focus, product obsession, and brand elasticity shape long-term relevance at scale. Consumer and Product Focus Still Set the Bar Sessions from Timberland , The North Face , and Vans reinforced how deeply consumer and product focus shape long-term relevance. Each brand approaches this differently. Timberland emphasized cultural relevance and in-store creativity. The North Face spoke about serving both extreme and everyday use cases without diluting brand integrity. Vans highlighted brand elasticity, product detail, and customization as drivers of connection. Across these examples, a common pattern emerged. The strongest brands stay close to the product, understand how consumers engage with it , and design their operations to support that focus rather than distract from it. AI Is Becoming Part of Daily Work AI was present across the show, but the most practical conversations focused on how it supports everyday work. Leaders described AI as a layer that helps teams move faster by processing information, surfacing relevant context, and reducing manual effort across planning and merchandising workflows. The value shows up in speed, consistency, and decision support, particularly when teams are managing large assortments and multiple seasons at once. What stood out was how often AI was discussed in relation to existing processes, not as a separate initiative . Its effectiveness depends on how well it integrates into the tools and workflows teams already rely on. Execution Remains a Team Sport Despite advances in automation and intelligence, people remain central to execution. Some of the most meaningful moments at NRF happened outside formal sessions, reconnecting with partners, collaborators, and teams who have worked together remotely for years. Alignment, shared context, and trust continue to matter, especially in global organizations where decisions ripple quickly across markets. Technology can accelerate insight and coordination, but execution still depends on teams working from the same information and priorities. NRF continues to be a place where strategy meets execution, through direct conversations with partners, peers, and industry leaders. What This Signals Going Forward NRF 2026 highlighted several signals shaping how retail and fashion organizations are evolving: Operational connection is becoming a priority as complexity grows Data matters most when it supports timely, confident decisions AI is increasingly embedded into daily workflows Human judgment remains essential for prioritization and execution Platforms that connect workflows are replacing fragmented approaches These themes closely align with what we see across Trasix customers every day: the need for connected, visual, and intelligent go-to-market workflows that support teams from early planning through sell-in. The direction is becoming clearer. Progress is being driven by how effectively organizations translate insight into execution across the full product lifecycle.

Job Location: Dubai, United Arab Emirates About Trasix Trasix DMCC provides an advanced digital platform that support the global distribution operations of major sporting goods and fashion brands. Quality, reliability, and user experience are at the core of our product - and QA plays a central role in delivering this value. Overview We are seeking an experienced Software Quality Control Engineer to help ensure the stability, performance, and overall quality of our software. You will design and execute test plans across web and API solutions, diagnose issues, and contribute to automation initiatives. Experience with Katalon Studio is essential, with automation experience considered a strong advantage. Responsibilities Develop and execute test plans including smoke, functional, regression, and release validation. Build and maintain test cases, scenarios, and test scripts based on product requirements. Investigate and troubleshoot defects using logs, browser developer tools, and diagnostic resources. Document issues clearly and work closely with developers to ensure timely resolution. Perform API testing (functional, load, and performance) using tools such as Postman or JMeter. Contribute to test automation efforts using Katalon Studio. Participate in Agile/Scrum processes and collaborate within CI/CD pipelines. Review product documentation to ensure accuracy, clarity, and completeness. Requirements Bachelor’s degree in Computer Science, IT, or Engineering. 4+ years of experience in software QA/testing. Strong hands-on experience with Katalon Studio (mandatory). Experience with API testing tools (Postman, JMeter, or similar). Knowledge of SQL, version control (Git/TFS), and CI/CD practices. Understanding of web technologies and client–server architecture. ISTQB or TMap certification (preferred). Strong analytical thinking, attention to detail, and clear communication skills. Why Join Us Be part of a QA function that has real influence over product stability and customer satisfaction. Work with modern testing tools and automation frameworks. Collaborate within a supportive engineering team that values quality at every stage. Opportunity to shape and improve test processes as our platform evolves. Interested in this role? Send your CV and cover letter to info@trasix.com   to apply.

Job Location: Dubai, United Arab Emirates About Trasix Trasix DMCC builds an innovative digital solution that streamline the global distribution of sporting goods and fashion products. Our platform powers seamless order management, product presentations, and B2B workflows for leading international brands. Overview We are looking for a talented Front-End Web Developer to help us build responsive, high-performance interfaces for our digital distribution platform. You will work with modern tools and frameworks, turning UI/UX ideas into smooth, scalable, production-ready experiences. This role suits someone who enjoys building clean, elegant solutions using JavaScript, Vue.js, and Tailwind CSS. Responsibilities Develop responsive user interfaces and reusable components using Vue.js. Implement clean, maintainable styling using Tailwind CSS, HTML5, and modern CSS standards. Integrate front-end features with APIs and back-end systems. Optimize for performance, scalability, accessibility, and cross-browser compatibility. Collaborate closely with UX, product, and backend teams to deliver high-quality features. Maintain well-structured, version-controlled code using Git. Contribute ideas to improve UI consistency, code quality, and front-end best practices. Requirements Bachelor’s degree in Computer Science, IT, or Engineering. 4+ years of front-end development experience. Strong proficiency in JavaScript (ES6+), Vue.js, and Tailwind CSS. Experience with build tools such as Webpack or Vite. Solid understanding of HTML5, CSS3, SASS/LESS, and asynchronous programming (AJAX/Fetch). Basic image editing skills (Photoshop, GIMP) for UI asset preparation. Experience with Electron (advantage). Understanding of SEO principles and cross-browser behavior. Why Join Us Work on a modern, evolving platform used by global fashion and sports brands. Collaborative, innovation-focused engineering culture. Modern tech stack and opportunities to introduce improvements. A role where your work directly impacts product usability and customer experience Interested in this role? Send your CV and cover letter to info@trasix.com   to apply.

Job Location: Dubai, United Arab Emirates About Trasix Trasix DMCC provides an innovative digital solution that supports global fashion and sporting brands in managing product presentations, order workflows, and large-scale B2B operations. Our software is used worldwide, and reliability, usability, and customer satisfaction are at the core of what we do. Overview We are looking for a Software Support Specialist to provide exceptional support to our application users. In this position, you will identify and resolve technical issues, handle support tickets, and ensure customers receive prompt, precise, and professional help. You will collaborate with multiple teams and play a key role in maintaining a seamless user experience for our global clients. Responsibilities Develop a strong understanding of our application and common user scenarios. Investigate and troubleshoot issues, conduct root-cause analysis, and escalate when necessary. Communicate solutions clearly and professionally to end users. Manage and prioritise support tickets using our ticketing system. Train users on system functionality when required. Provide on-site support to customers as needed. Identify recurring issues and recommend improvements to support processes. Collaborate with internal teams (QA, Development, Product) to ensure issues are resolved efficiently. Requirements A bachelor’s degree in Computer Science, IT, or a related field. 2–3 years of experience providing Level 1 and Level 2 technical support. Experience using at least one support ticketing system. Strong communication skills with the ability to explain technical concepts to non-technical users. Strong troubleshooting and analytical skills, with the ability to work independently and collaboratively. Good understanding of operating systems, programming frameworks, and general IT environments. Proficiency in Microsoft Excel. Working knowledge of Microsoft SQL (advantage). Why Join Us Support a global platform used by leading fashion and sports brands. Collaborative environment with opportunities to grow your technical and customer-facing skills. A role where your insights help shape product quality and customer satisfaction. Exposure to modern tools, technologies, and cross-functional teamwork. Interested in this role? Send your CV and cover letter to info@trasix.com   to apply.

Job Location: Dubai, United Arab Emirates About Trasix Trasix DMCC builds an innovative digital platform that supports the global distribution of sporting goods and fashion products. Our solutions power complex B2B workflows, product data management, and high-volume transactions for international brands. Overview Trasix DMCC builds an innovative digital platform that supports the global distribution of sporting goods and fashion products. Our solutions power complex B2B workflows, product data management, and high-volume transactions for international brands. Responsibilities Design and develop robust applications and Web APIs using C# and the .NET ecosystem, primarily using .NET Core 8 and above, and build APIs with Node.js. Build scalable, high-performance services supporting complex business workflows. Work with SQL Server and ORM technologies such as Entity Framework Work with NoSQL databases like MongoDB. Optimize application and database performance. Collaborate with front-end developers, QA, UX, and product teams. Participate in Agile/Scrum development cycles and sprint planning. Contribute to code quality through clean architecture, design patterns, and unit testing. Support deployment, maintenance, and continuous improvement of existing systems Requirements Bachelor’s degree in Computer Science, IT, or Engineering. 4+ years of professional experience developing applications in the .NET ecosystem. Strong proficiency in C#, Web API, and multithreading/parallel programming. Experience with ASP.NET, .NET Core 8 and later versions, LINQ, and IIS. Familiar with Node.js and able to build an API based on Node.js. Solid knowledge of SQL Server, database design, and performance tuning. Familiar with NoSQL databases like MongoDB. Experience using Git for version control. Familiarity with dependency injection frameworks (e.g., Unity or similar). Experience working in Agile/Scrum environments. Strong problem-solving skills and attention to performance and scalability. Why Join Us Build and scale a platform used by global fashion and sports brands. Work with a modern tech stack and complex real-world business challenges. Collaborative engineering culture with room to influence architecture and best practices. Opportunity to grow technically while working across the full product lifecycle Interested in this role? Send your CV and cover letter to info@trasix.com to apply.

A major East Coast–based sportswear company with over $5B in annual revenue  operates one of the most globally distributed merchandising organizations in the industry, with teams spanning apparel, footwear, and accessories across more than 40 regions. For years, this structure relied on a patchwork of legacy tools, PowerPoint for presentations, Excel for line plans, Adobe files for visual references, Miro boards for early collaboration, and multiple PLM and DAM systems feeding different sources of truth. As the business scaled, this fragmented workflow slowed decisions, created data inconsistencies, and made it difficult to maintain alignment across Merchandising, Planning, Sales, and Product teams. Seasonal calendars grew tighter. Teams duplicated work across systems. Visual merchandising assortments became harder to standardize. And digital catalog creation required hours of manual formatting. In 2016, the company introduced Trasix within a single division. Over the next several years, the platform expanded into a centralized digital hub for line planning, segmentation, whiteboarding, and global-to-regional collaboration. What started as a pilot ultimately transformed how the organization builds, manages, and commercializes its seasonal product lines. From Siloed Tools to a Unified Digital Merchandising Workflow Before Trasix, each division maintained its own assortment and documentation ecosystem, often rebuilding the same data multiple times across PLM, spreadsheets, and presentations. As the product engine became more global, these fragmented workflows translated into slow go-to-market execution and inconsistent customer-facing assortments. By 2019, the company centralized all three divisions on Trasix, giving global and regional teams a single place to manage assortments, visual merchandising layouts, segmentation logic, and digital catalog creation. Even as different PLM and DAM systems remained in use, Trasix acted as the unified layer connecting them. By 2024, the company completed a PLM consolidation and designated Trasix as the primary lifecycle data hub — including upstream style creation, seasonal transitions, attribute management, and distribution of data to downstream systems. API updates now occur in the background, allowing hundreds of users to work without interruption. This shift established a modern digital foundation for merchandising, enabling teams to move faster with fewer handoffs and significantly reducing manual rework. Accelerating the Merchandising Calendar Through Lifecycle Ownership One of the most impactful workflow changes was moving style creation directly into Trasix . Historically, merchants created preseason assortments in Trasix, then Product Line Managers had to rebuild those same assortments in the upstream PLM so they could flow back downstream. This manual loop routinely added two days to the go-to-market calendar. Once style creation started inside Trasix, the preseason line could become the in-season line instantly. The team gained back those two days every season, and no longer needed to recreate data across systems. The company also saw significant efficiency gains in one of the most time-sensitive merchandising workflows: the Late Add process. These last-minute style requests, traditionally submitted via spreadsheets or email, required Product Line Managers to manually recreate every detail under tight deadlines. After shifting this workflow into Trasix, Merchants and Sales entered structured requests using the same data fields Product Line Managers would have needed. Product Line Managers simply reviewed and approved, reducing their workload by approximately 90%  during one of the busiest windows in the calendar. A secondary benefit proved equally valuable: planners were able to track new articles one month earlier . Because Trasix automatically links approved requests to new article numbers, planners no longer waited for confirmation or downstream PLM updates. Forecasting became more accurate, more timely, and more connected to real merchandising decisions. The company also removed redundant systems from its workflow. Once Trasix gained the ability to showcase 3D assets, the organization retired a legacy buyer-facing 3D viewer, eliminating roughly $10,000 per year  in hosting fees and simplifying the digital catalog creation process. Improving Segmentation Accuracy & Visual Merchandising Alignment Segmentation plays a pivotal role in how this company goes to market — driven by channel, geography, pricing tier, store size, and even local weather patterns. Prior to Trasix, segmentation logic lived in spreadsheets, making it difficult to maintain accuracy or ensure that assortments remained consistent across global and regional teams. Centralizing segmentation and visual merchandising assortments inside Trasix allowed planners to allocate units more accurately and ensure alignment with seasonal strategies. When a Late Add was approved or a colorway changed, Trasix instantly cascaded updates across every affected catalog. Teams no longer worked from outdated presentations or mismatched assortments — a critical improvement for wholesale partners and internal sell-in teams. Modern Collaboration for Merchandising, Line Managers, Planning & Sales The introduction of Slide Share fundamentally changed how teams collaborate. Planners now require Merchants and Sales to share merch pages within Trasix rather than sending PowerPoint files. From there, planners export slides directly into Excel, saving significant time previously spent manually converting presentation content into planning tools. Product Line Manager Teams also began sharing product tech sheets inside Trasix, ensuring that global and regional teams used the same source of truth for account-facing presentations and seasonal briefs. Earlier in the process, Whiteboarding within Trasix further streamlined collaboration. Global PLM users share boards composed of frames that resemble merch pages, and regional merchants leave comments and sticky notes directly on these boards. This workflow eliminated the need for Miro and email threads, consolidating concepting, visual feedback, and early assortment discussions into a single environment. A Scalable, Integrated Foundation for Growth The transformation created measurable operational benefits: Unified platform for digital catalog creation , visual merchandising assortment , and lifecycle data management Faster seasonal execution through direct style creation in Trasix 90% reduction in PLM workload for Late Adds Forecast visibility improved by one full month Elimination of duplicate systems and ~$10K in annual hosting fees Real-time collaboration between global and regional teams Improved segmentation accuracy and channel-specific assortments Consistent, fully up-to-date catalogs across Merchandising, Planning, Sales, PLM, and B2B partners This sportswear company now runs on a digital backbone that supports rapid decision-making, accurate planning, and efficient commercial execution at global scale. Trasix did not simply replace legacy tools — it redefined how product data moves through the organization and how quickly teams can turn ideas into market-ready assortments.