FASTER CHECKOUT
Up to 25% faster checkout achieved through streamlined order processing and optimized purchase workflows, supporting eCommerce operations for hundreds of thousands of customers worldwide.
LOWER PRODUCT RETURN RATES
30% lower product return rates achieved for a fashion retailer through an AR-powered virtual try-on experience that increased shopper confidence before purchase.
EXPERTS ON BOARD
Access to a cross-functional team of 250+ software engineering, fashion commerce, data, cloud, AI, and consulting professionals supporting apparel technology initiatives.
FASHION & APPAREL SOFTWARE PROJECTS DELIVERED
Delivered high-conversion digital solutions for fashion retailers, D2C brands, and apparel marketplaces across global markets.
Fashion and apparel businesses face margin pressure from excessive markdowns, inaccurate size allocation, seasonal overstock, high return rates, and disconnected sales channels. Computools connects POS, ERP, inventory, and eCommerce data to improve assortment visibility, replenishment, and stock allocation. Our AI transformation services help fashion brands go further by redesigning workflows, systems, and human-AI collaboration to optimize size-level demand forecasting, reduce unnecessary markdowns, and recover sales lost to unavailable sizes.
Computools deploys an Intelligent Lifecycle Markdown Engine in 90–120 days, applying predictive modeling to your historical seasonal sales baselines.
This isolates genuine incremental volume lift from baseline margin cannibalization, allowing merchandising teams to stress-test planned discount structures before pulling the trigger.
In just 90 days, Computools introduces an AI-Driven Matrix Allocation Layer into your existing WMS/ERP architecture to map real-time localized size-velocity data directly to distribution routing logic, dynamically prioritizing and locking optimized size ratios for specific regions.
Computools develops a custom Omnichannel Direct Fulfillment Logic Layer within 90–150 days to dynamically evaluate order attributes, customer location, and local store inventory right at checkout, automatically routing and processing DTC purchases and returns through the nearest brand-owned regional hub or retail store.
Computools integrates a Predictive On-Shelf Availability (OSA) Engine for Apparel in 90–120 days to monitor real-time point-of-sale (POS) transactional data streams, applying anomaly-detection algorithms to flag when a high-velocity style or core size’s sales pattern abruptly stalls during peak traffic hours.
Within 90 days, Computools deploys a Centralized Fashion Retail Data Liquidity Gateway to automatically ingest, normalize, and clean multi-format point-of-sale (POS) data streams daily – converting fragmented franchise logs, EDI feeds, and raw partner spreadsheets into a single, clean size-and-attribute data layer every 24 hours.
Chief Operating Officer
We develop custom eCommerce platforms for fashion and apparel brands, supporting real-time catalog updates, size and fit information, AI-powered recommendations, personalized merchandising, and seamless checkout experiences across digital channels.
Our team develops high-performance mobile commerce applications for fashion brands with personalized shopping experiences, push notifications, social features, integrated loyalty, and streamlined checkout to improve engagement and repeat purchases.
We develop AR-powered virtual fitting rooms, AI-driven style assistants, and personalized fit recommendations. Our AI development services extend these capabilities with size prediction, body measurement analysis, and personalized product matching to reduce size-related returns and lost sales from poor fit.
We build custom fashion supply chain and order management software for inventory visibility, SKU tracking, replenishment, order orchestration, warehouse coordination, and fulfillment across stores, eCommerce channels, and distribution networks.
Computools develops custom POS and omnichannel retail systems for fashion and apparel businesses, including multi-store synchronization, RFID integration, inventory visibility, returns management, loyalty programs, and unified customer experiences across physical and digital channels.
We develop custom loyalty and customer engagement platforms for fashion brands with personalized rewards, membership tiers, promotions, customer profiles, and omnichannel engagement tools designed to improve retention and customer lifetime value.
Computools helps business leaders find where technology can grow revenue, cut operating costs, or open new products and markets – and which investments to prioritize. We assess your business model, processes, and systems, and turn the opportunities into a costed roadmap with KPIs.
Computools goes beyond AI-assisted coding. Our AI Product Factory redesigns specification, development, testing, and review to deliver working product increments in days, where appropriate. Engineers remain accountable for architecture, security, and releases, helping businesses expand software delivery capacity without proportional growth in engineering teams.
Computools takes operational ownership of agreed business functions, from customer support and client onboarding to payment processing. AI agents handle routine work, our engineers own exceptions and improvements, and performance is reported against the KPIs you approve.
Computools identifies where customers abandon purchases, onboarding, or service requests and redesigns the interactions causing friction. We combine customer journey analysis, behavioral data, and UX design to simplify critical actions, connect digital touchpoints, increase transaction and onboarding completion rates, and reduce avoidable customer support requests.
Computools turns isolated AI initiatives into repeatable operating models. Our AI Value Factory redesigns business workflows to reduce processing time, manual work, and operating costs. Our AI Product Factory accelerates software development from specifications to validated releases. Both combine reusable AI capabilities, shared business knowledge, and human oversight.
Computools modernizes business-critical legacy systems without unnecessary platform replacements. We identify what to retain, refactor, integrate, or migrate, improving architecture, APIs, and data access to support AI adoption and new business capabilities. This reduces technical debt and operational disruption while protecting existing technology investments.
“We were deeply impressed with their technical expertise, transparency, and flexibility. The team was highly skilled, easy to work with, and always proactive in solving challenges.“
“Computools’ work has had a positive impact on the client’s business. The team is flexible and responsive to the client’s needs. Their expertise has been key to the project’s success. Overall, the engagement has been positive.”
“Due to the platform’s use, the new products’ generated go-to-market timeline improves by 20%, cutting down on plan costs and, most importantly, enhancing the connection between the departments. The availability of near real-time information and the enhancement of the speed of decision-making are truly remarkable.”
“The Computools team came to us with ideas, and that’s unusual. I’m satisfied that they gave us the right recommendations which are contemporary and relevant for today’s users. Because with other companies on previous projects, it was like pulling teeth to get them to make suggestions. The product received positive feedback even before being implemented and has led to significant customer and revenue growth.”
Our client, Dior, is a global fashion and luxury brand specialising in high-end products like clothing, leather goods, perfumes, cosmetics, watches, jewellery, and wines. Dior wanted to streamline extensive e-commerce operations, including order processing and checkout times, which we addressed by developing a customised CMS. We created a high-performing, scalable, and resilient digital platform. Our solution resulted in an increase in average order value, a reduction in checkout time, an increase in user throughput, and a reduction in monthly support system workload.
Our client, a large clothing, footwear, and accessories retailer, worked with our team to improve the online shopping experience. Our team proposed engineering a product that allows the virtual fitting of clothes. Thus, thanks to the new platform, the client increased sales and significantly reduced the number of returns because its customers could try on clothes online through virtual reality.
Since Computools strictly adheres to NDAs with its clients, additional case studies are not publicly available.
Please fill out the contact form, and our experts will respond to your inquiries.
Computools provides custom fashion and apparel software development and IT consulting services for fashion brands, apparel manufacturers, retailers, DTC businesses, marketplaces, luxury brands, wholesalers, and FashionTech companies. We tailor solutions to specific business models, operational workflows, sales channels, and growth objectives.
We develop custom fashion eCommerce platforms, inventory and allocation systems, supply chain and order management software, markdown optimization and returns management solutions, mobile commerce applications, virtual fitting rooms, AI-powered personalization tools, POS and omnichannel systems, and other software tailored to fashion and apparel operations.
The cost of custom fashion software development depends primarily on the project scope, including required features, integrations, platform architecture, security requirements, and overall solution complexity. As a general benchmark, a relatively straightforward fashion software project delivered within up to three months typically costs around $50,000, while more complex platforms, omnichannel systems, and enterprise initiatives require a tailored estimate.
Development timelines depend on the project scope, architecture, required integrations, migration needs, and complexity of the functionality. A focused MVP, individual module, or relatively straightforward fashion software solution can often be delivered within 1–3 months, while larger enterprise platforms and multi-system transformation initiatives may require several months or more. Computools defines the expected timeline and delivery roadmap during the discovery and estimation process.
Yes. Computools modernizes legacy fashion and apparel platforms while minimizing disruption to day-to-day operations. We can upgrade architecture, replace outdated components, migrate data, introduce new functionality, and modernize integrations through a phased approach. Where required, existing and new systems can operate in parallel during migration to reduce downtime and protect critical commerce, inventory, order, and customer workflows.
Yes. Computools develops custom apparel inventory and allocation systems that provide visibility across sizes, colors, styles, stores, warehouses, and sales channels. Solutions can support size-level inventory tracking, regional demand analysis, replenishment, assortment planning, allocation rules, stock transfers, and real-time inventory synchronization to help reduce stockouts, overstock, and end-of-season markdowns.
Yes. Computools develops fashion markdown optimization and returns management software tailored to apparel retail workflows. Markdown solutions can analyze sales velocity, inventory levels, seasonality, product attributes, and historical performance to support more targeted pricing decisions. Returns management systems can automate reverse logistics, routing, inspection, refund workflows, and return-to-stock processes to help recover inventory faster and reduce operational costs.
Computools integrates fashion software with ERP, PIM, OMS, WMS, POS, CRM, eCommerce platforms, marketplaces, payment systems, and other third-party services through APIs, middleware, and data synchronization layers. We connect product, SKU, inventory, pricing, customer, order, fulfillment, and return data across systems to reduce manual processing and create a more consistent omnichannel technology ecosystem.
Yes. Computools develops and integrates AI-powered capabilities for fashion and apparel businesses, including personalized product recommendations, AI shopping and styling assistants, size and fit recommendations, virtual try-on, demand forecasting, inventory optimization, markdown optimization, customer behavior analytics, and trend forecasting. These capabilities can help fashion businesses improve product discovery, personalize customer experiences, optimize inventory decisions, and automate data-intensive workflows.
Yes. Computools develops and customizes Shopify and Shopify Plus solutions for fashion retailers, DTC brands, and apparel businesses. Our services include custom storefronts, size and variant management, personalized shopping experiences, and integrations with ERP, inventory, and order management systems.
Computools | 341 Raven Cir, Camden Wyoming, Delaware 19934, US
