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Fashion Apps : Trends to
Sales, Data‑First
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fashion design software free
AR Try On to PLM:
Fashion Tech That Sells
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Design to Doorstep :
AI Fashion Platforms
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Mobiloitte’s Solution Stack

Mobiloitte builds custom fashion software, mobile shopping apps, design tools, PLM links, AR try-on, and omnichannel commerce. With these tools, brands launch faster, personalise at scale, and grow profits while keeping full creative control.

White-Label Fashion App Development (iOS • Android • Web)

Push alerts, wishlists, social sign-in, and 3D/AR product views turn browsing into carts. Launch shoppable lookbooks, limited drops, and loyalty perks from one white-label mobile fashion commerce platform.

Headless Fashion Commerce & Platform Development

API-first storefronts link to Shopify Plus, Magento, BigCommerce, or custom cores. One control plane handles collections, prices, and campaigns across mobile, web, and in-store kiosks.

Design Software & 3D CAD Integrations

Plug CLO3D, Browzwear, or Optitex into PLM. Sync measurements, BOMs, and 3D renders so design, sourcing, and merchandising share a single truth.

PLM & Supply-Chain Dashboards

Digital tech packs, vendor SLAs, and QA checks track every style from sketch to SKU. Fewer sampling rounds, fewer late shipments.

Blockchain Produce Traceability & Compliance

On an unchangeable ledger, keep track of where seeds come from, how chemicals are used, cold-chain events, and certifications. One click will make sure you meet the requirements of GAP, ISO 22000, and your retailer.

AR Try-On & Virtual Fitting Rooms

WebAR or in-app try-on, lowers returns and boosts conversion, letting shoppers see fit, drape, and colour in real time.

Clients who love our
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Problems in the Fashion Tech Market

Styles flip every few weeks, not every season. Social drops, micro-influencers, and resale shake up old calendars. Spreadsheets, ageing ERPs, and disconnected e-commerce slow approvals and cause overstock. Buyers and regulators now demand clear supply-chain and sustainability data. Leaders search phrases such as “fashion app development services” or “AR try-on for clothing” because they need tech that blends creative freedom with strict control. Winners connect sketch to shelf, runway to repeat purchase without turning designers into data engineers.

Proof of Impact

AR try-on plus size-recommendation AI cut returns by 19 % for a D2C label.

Global streetwear brand launched a drop app in eight weeks first-day sales rose 2.3×.

Mobiloitte united our PLM and e-commerce sample cycles fell 32 %, merch teams now share data live.” - VP Product, modern fashion house

Creator portals and community voting lifted marketplace GMV by 41 % and cut marketing cost per SKU by 18 %.

Next Steps
  • Accelerate Your Fashion Platform
  • Book a free Fashion Tech Acceleration Session. In 45 minutes Mobiloitte will:
  • Spot the top three issues hurting speed, margin, or loyalty.
  • Model ROI for AR try-on, AI demand planning, or PLM integration.
  • Draft a pilot roadmap that pays for itself within one selling cycle.
  • Reserve your slot before the next collection lock date.
Why choose us?

Mobiloitte for Fashion

Outcome-First Roadmaps

We start with a discovery sprint to find your three biggest problems: returns, slow approvals, and low repeat rates. Then we design a pilot that pays off in one season.

Deep Tech and Design DNA

We put together software architects and fashion ops experts on our teams. You get platforms that respect creative workflows and production realities alike.

Composable architecture with an API-first approach

Use modules when you need them: AR today, PLM integration tomorrow, and resale next year. You can switch tools without replatforming or going over budget.

Quickness Without Losing Quality

Two weeks to discover, eight weeks to build a minimum viable product (MVP), and then continuous releases. Automated tests, performance harnesses, and chaos drills make sure that drops never crash.

Global Delivery, Local Sensitivity

Follow-the-sun development speeds up releases. Regional experts change size charts, taxes, language, and cultural differences to fit each market you serve.

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Case Studies

Our work Speaks for Itself

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Connect With Us

Ready to turn each collection into real growth and every shopper into a lifelong fan? Book your free Fashion Tech Acceleration Session today and let Mobiloitte make style, speed, and scalability your new normal.

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Frequently Asked Questions

How can fashion software development streamline design-to-shelf cycles?

Mobiloitte's fashion software engineers put tech packs, sample tracking, and vendor collaboration all in one cloud PLM dashboard. AI can tell how long it will take to get materials, spot fit problems early, and cut down on over-ordering. Real-time status cuts down on email chains and shortens cycles by weeks. Global delivery centers, on the other hand, speed up sprints so that benefits show up next season. Talk to our fashion tech consultants to find out where things are going wrong and make a plan for a pilot.

Why choose Mobiloitte for fashion ecommerce platform development?

Mobiloitte makes fashion ecommerce platforms that are lightning-fast by combining headless commerce, PWA storefronts, and PCI-ready checkout. Built-in size guides, 3-D viewers, and localized pricing all help increase sales, and microservice architecture makes it easier to add new features. To lower risk, blended onsite-remote teams sync launches with campaign calendars. Ask for a live demo to see how we helped other brands cut down on cart abandonment.

What PLM software features cut sample costs for apparel brands?

Mobiloitte's PLM modules bring together patterns, BOMs, and supplier quotes, then use AI to run cost scenarios so designers can choose fabrics that meet margin goals before sampling. Embedded 3D rendering cuts down on physical samples, and change-tracking keeps version control. Clients say that the cost of samples goes down by up to 30% in two seasons. Let our solution architects show you how to save money on your next collection.

Can virtual try-on technology boost online fashion conversion rates?

Yes. Mobiloitte connects virtual try-on SDKs that work with any camera to web and mobile stores. They can map clothes to body scans in milliseconds. Shoppers see how the clothes drape and fit, which can increase the number of items added to the cart by up to 25% in tests. Size-AI cuts down on returns, and edge rendering keeps pages light. Set up a virtual try-on workshop to see how the tech in your catalog works.

Does an omnichannel retail platform increase inventory accuracy for fashion retailers?

Mobiloitte's omnichannel platform connects POS, warehouse, and ecommerce inventory in real time through APIs. This gives you one stock truth across all stores and marketplaces. RFID and mobile scans update counts right away, which cuts down on overselling and split shipments. Smart replenishment suggests moving items before shelves run out, which helps full-price sales. Get an accuracy playbook from our retail strategists.

How fast can Mobiloitte deliver a fashion ecommerce MVP?

With the help of pre-built fashion commerce microservices like catalog, checkout, and fulfillment, our follow-the-sun teams can ship a branded MVP in as little as 10 weeks. Early UX tests with target shoppers help with weekly sprints, which cuts down on rework. CI/CD pipelines let you release software without any downtime, and open APIs let you add loyalty or AR modules later. Get a fast-track roadmap on a call to learn more.

What AI styling recommendation engine benefits do fashion retailers gain?

Mobiloitte's AI styling engine looks at profiles, purchase history, and trend data to give you very personalized outfit ideas. Smart cross-sell prompts increase accessory attach rates, and personalized bundles increase the average order value. Heat-map analytics help with merchandising and lowering prices. To start curating at scale, set up a data-readiness assessment with our AI team..

Is Mobiloitte's fashion ERP integration fully PCI DSS compliant?

Yes, for sure. We use tokenized payments, TLS 1.3, and role-based controls in our integrations that are compliant with PCI DSS, GDPR, and SOX. Live dashboards show how orders and payments move through the system, and automated audit logs make quarterly reviews easier. A 24/7 SOC watches for unusual activity and responds within minutes. Go over our compliance matrix with a security architect.

What implementation timeline suits multi-brand fashion platform rollouts?

Most rollouts take 18 to 24 weeks. This includes 4 weeks for discovery and style-guide mapping, 10 weeks for agile builds and ERP integrations, and 4 to 10 weeks for phased regional launches with training. Weekend cutovers avoid busy sales times, and dual sites stay open until KPIs settle down. Get in touch with our PMO to make sure your milestones fit with your fashion calendar.

How is ROI calculated for fashion digital transformation projects?

At the start of each sprint, Mobiloitte sets benchmarks for conversion, basket size, and stock turn, and then links gains to those benchmarks. Dashboards predict payback; many labels get their money back in 9 to 14 months by selling more and getting fewer returns. Third-party validators make sure that the information is true. Before you invest, book a ROI workshop to find out how much money you could make.

What post-launch support does Mobiloitte provide to fashion retailers?

We offer 24/7 support levels, seasonal optimization sprints, and role-based training so that merchandisers, marketers, and IT can use new features. A success manager keeps an eye on KPIs, organizes hotfixes, and runs roadmap sessions. Micro-video tutorials and a searchable knowledge base make self-service possible, and SLA tiers make sure that responses are less than an hour during busy times. Look into care packages that fit your launch schedule.

What flexible pricing models does Mobiloitte provide for fashion tech initiatives?

Mobiloitte has fixed-scope builds, milestone-based contracts, and outcome-linked pricing that is based on sales or conversion rates. Dedicated agile pods with clear burn rates keep budgets safe, and optional revenue-sharing lowers the risk up front. Demos every two weeks and shared boards keep the finances in view. Talk to our finance advisors about how the model aligns risk and growth horizons.

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