Cover image for SkinMater is a custom-built eCommerce

SkinMater is a custom-built eCommerce platform developed for the beauty, skincare, cosmetics, perfume, and personal-care market. Instead of relying on a pre-built Shopify, WooCommerce, or marketplace template, SkinMater was developed as a purpose-built eCommerce system with a custom frontend, custom backend, dedicated administration platform, authentication system, product and inventory management, order management, analytics, AI-powered customer support, payment integration, and supporting commerce functionality. The platform consists of two major experiences: Customer-facing eCommerce Store — where customers can browse products, explore categories, search the catalog, interact with the store, manage their account, communicate with AI support, and complete purchases. Admin Management Platform — a dedicated administrative system for managing products, inventory, orders, customers, finance, marketing, reviews, analytics, staff, roles, notifications, and other operational areas. This architecture makes SkinMater more than a visual storefront. It is a complete custom eCommerce software solution designed to connect the customer experience with the operational systems required to run an online retail business. The Business Challenge Modern eCommerce businesses need more than attractive product pages. A serious online store needs an operational foundation capable of handling the entire commerce lifecycle: Product catalog management Product categories Inventory Warehouses Orders Payments Customers Reviews Promotions Discounts Flash sales Shipping Customer support Analytics Staff management Roles and permissions Notifications Account management Using multiple disconnected systems can create unnecessary complexity and make the business dependent on third-party platforms. SkinMater was therefore approached as a custom software development project where the storefront and administrative infrastructure could be engineered together. The Custom eCommerce Solution The solution was to develop SkinMater as an integrated custom eCommerce platform with separate customer and administrative experiences connected through a centralized backend. The customer application focuses on shopping and conversion, while the administration system focuses on commerce operations and business management. This creates a complete flow: Customer → Storefront → Product → Cart → Checkout → Payment → Order → Fulfillment → Customer Account while the business operates through: Admin → Products → Inventory → Orders → Customers → Finance → Marketing → Analytics → Support This separation provides a cleaner architecture for managing a growing eCommerce operation. Customer-Facing eCommerce Store The SkinMater storefront was developed as a custom web application rather than a standard template. The uploaded interface demonstrates a mobile-first shopping experience with a branded header, product search, category discovery, promotional content, product navigation, cart access, AI chat, and customer profile functionality. Homepage Experience The storefront provides customers with access to: Promotional announcements Branded navigation Currency selection Language options Product search Promotional banners Product categories Beauty and personal-care collections Shopping navigation Cart AI customer support Customer profile The homepage is designed to move users from discovery toward product browsing and purchasing without unnecessary navigation complexity. Product Discovery SkinMater provides category-based product discovery for different beauty and personal-care segments. The interface includes categories such as: Grooming Beard Care Eau de Parfum Makeup Bath & Body Perfumes Body Care Luxury Gift Sets This category structure gives customers multiple ways to discover products beyond direct search. Product Catalog The custom product-management system supports the administration of products through a dedicated Products interface. The administrative product view includes information such as: Product name SKU Category Price Stock Status Updated date Product actions Administrators can search and filter products by relevant catalog information and perform product-management actions directly from the admin interface. Custom Admin Panel One of the most important parts of SkinMater is its dedicated administrative platform. Rather than providing a basic CMS, the project includes a structured commerce operations dashboard. The dashboard provides a centralized view of important business information and operational areas. The admin navigation includes sections covering: Catalogue Products All Products Add Product Categories Inventory Stock Overview Warehouses Commerce Orders All Orders Pending Orders Refunds Customers Loyalty & Wallet Finance Revenue Overview Reconciliation Operations Shipping Support Marketing Coupons Discounts Flash Sales Banners Sliders Homepage Sections Announcement Bar Customer Reviews FAQs Insights Analytics Notifications System Staff Roles Logs Settings This structure gives the business a centralized environment for managing its eCommerce operations. eCommerce Dashboard The SkinMater admin dashboard provides a high-level commerce operations overview. The dashboard includes metrics and operational widgets such as: Monthly revenue Orders Transactions Customers Returning customers Active flash sales Open support tickets Low-stock items Loyalty members Revenue trends Orders by status The dashboard also includes time-based controls such as day, week, and month views. This provides administrators with a centralized operational snapshot instead of requiring them to inspect individual modules separately. Product Management System The product-management module was developed to support the administration of the store's catalog. The interface includes product search and filtering functionality. Administrators can work with information including: Product name SKU Category Price Stock quantity Product status Last updated date The interface also supports product actions such as viewing, editing, and deleting products. This creates a practical foundation for managing a growing eCommerce catalog. Inventory Management Inventory management was incorporated directly into the administrative platform. The system includes dedicated areas for: Stock overview Warehouses Low-stock monitoring This allows inventory operations to exist alongside product and order management rather than being handled through a completely separate system. For an eCommerce business, this connection between products, stock, warehouses, and orders is important because inventory availability directly affects purchasing and fulfillment. Order Management SkinMater includes a dedicated order-management area within the administration platform. Administrators can access order-related workflows including: All orders Pending orders Refunds Order status Customer-related order information This provides the business with an operational interface for managing the order lifecycle after customers complete purchases. Customer Management Customer management is another integrated part of the SkinMater platform. The administrative system includes a dedicated Customers section, while the customer-facing application includes account functionality. This creates a connected customer lifecycle: Registration → Account → Shopping → Checkout → Order → Customer Support → Future Purchases The architecture can therefore support both customer-facing account functionality and administrative customer operations. Authentication and Account System SkinMater includes a dedicated login and sign-up system. The authentication layer provides the foundation for customer accounts and authenticated application functionality. The customer account experience is integrated with the wider shopping platform rather than functioning as a separate application. This allows authenticated users to interact with the store through their own account while administrators manage customer information through the administrative interface. AI Customer Support Chatbot SkinMater also incorporates an AI-powered chatbot for customer support. The AI Chat functionality is exposed directly within the customer-facing store, allowing users to access assistance while browsing the eCommerce experience. This is particularly useful for an online beauty store because customers may need assistance with: Product discovery General product questions Shopping guidance Store navigation Frequently asked questions Support-related information The AI assistant adds an interactive support layer to the conventional eCommerce experience. Rather than forcing customers to leave the storefront to seek assistance, the support capability is available as part of the shopping experience. Payment Integration Payment integration was implemented as part of the eCommerce purchasing workflow. The objective was to connect the customer's checkout experience with the backend order-processing system so that a completed transaction can become an actionable order within the administration platform. The resulting commerce flow connects: Product → Cart → Checkout → Payment → Order → Administration This is a fundamental component of a production-oriented eCommerce architecture. Marketing and Promotion System SkinMater includes multiple tools designed to support eCommerce marketing operations. The admin panel contains dedicated sections for: Coupons Discounts Flash Sales Banners Sliders Homepage Sections Announcement Bar These tools allow store administrators to manage promotional content and commerce campaigns from the same platform used for products and orders. The storefront also demonstrates promotional messaging and merchandising elements designed to highlight campaigns and encourage product discovery. Reviews and Customer Feedback Customer reviews are integrated into the platform's administrative structure. The system includes dedicated areas for: Reviews Customer Reviews Review management This allows customer feedback to be handled as part of the broader commerce platform. Reviews can play an important role in eCommerce because they provide social proof and additional product information for prospective customers. Analytics and Business Intelligence SkinMater includes a dedicated analytics interface for business performance monitoring. The analytics dashboard provides areas for: Revenue Orders Customers Average order value Revenue trends Time-range analysis Data export The interface supports different reporting periods, including: 7 Days 30 Days 90 Days 1 Year The platform also includes options for refreshing analytics information and exporting data. This provides administrators with a dedicated environment for reviewing commerce performance. Finance and Reconciliation Financial operations are represented within the administration architecture through dedicated finance modules. The admin panel includes: Revenue Overview Reconciliation These areas provide the foundation for connecting financial information with the broader commerce operation. Keeping finance and reconciliation within the same administrative environment can reduce the need to manage commerce information across disconnected systems. Shipping and Support SkinMater includes dedicated administrative sections for: Shipping Customer Support This extends the platform beyond the initial purchase transaction. The eCommerce lifecycle can therefore be managed across multiple operational stages: Browse → Purchase → Payment → Order → Shipping → Support Loyalty and Wallet The administration platform also includes a Loyalty & Wallet area. This provides a foundation for customer-retention functionality and loyalty-oriented commerce features. The dashboard also surfaces loyalty-member information, connecting customer-retention activity with the broader business overview. Staff, Roles and System Management SkinMater was designed with administrative operations in mind. The system includes dedicated areas for: Staff Roles Logs Settings This creates a foundation for managing the people who operate the platform and controlling access to different administrative functions. For a growing eCommerce business, role-based administration is important because different staff members may need different levels of access to products, orders, finance, marketing, support, or system settings. Technical Architecture SkinMater was developed using a modern full-stack architecture. The frontend was built using: React.js — for component-based application development and interactive user interfaces. JavaScript — for application logic and frontend functionality. Tailwind CSS — for responsive, utility-based UI development and a consistent design system. The backend was developed using: Python — for backend services and application logic. The infrastructure includes: Docker — for containerized application deployment and environment consistency. Additional supporting technologies and engineering components were used where required to connect the frontend, backend, database, authentication, payments, AI support, and commerce workflows. Frontend Development The frontend was designed as a custom commerce application rather than a generic theme. The interface focuses on: Responsive design Product discovery Search Category navigation Promotional content Shopping cart Customer account access AI support Mobile navigation Branded visual identity The uploaded screenshots show the customer storefront across a mobile-oriented shopping experience as well as the administrative interface. Backend Development The backend provides the business logic and service layer behind the eCommerce platform. It connects the different components of the system, including: Products Categories Inventory Orders Customers Authentication Payments Reviews Analytics Support Marketing AI functionality This backend architecture allows the customer application and admin panel to operate against the same underlying business system. Database and Data Management A custom eCommerce platform requires structured data relationships between products, customers, orders, inventory, payments, and other business entities. The backend architecture was designed to support these interconnected commerce workflows. The result is a centralized data model where operational information can be accessed by the appropriate customer-facing or administrative functionality. Responsive eCommerce Experience SkinMater was designed with responsive usage in mind. The customer-facing interface shown in the project screenshots demonstrates a mobile shopping experience with: Mobile navigation Search Product categories Promotional banners Cart access AI Chat Profile access Touch-friendly navigation The administrative interface provides a separate desktop-oriented environment for business operations. This distinction allows each interface to be optimized for its primary user. Why SkinMater Is a Custom eCommerce Development Project SkinMater is not simply a customized storefront theme. The project combines a custom customer-facing application with a custom administrative system and backend infrastructure. The development scope includes: Custom eCommerce frontend Custom admin panel Backend development Product management Inventory management Warehouse management Order management Customer management Authentication Payment integration AI customer support Analytics Finance modules Marketing management Reviews Shipping Support Loyalty functionality Staff management Roles and permissions System logs Notifications This combination makes SkinMater a full custom eCommerce software development project. Key Development Challenges Connecting Storefront and Administration The customer-facing experience and administrative platform needed to operate as a unified system. Changes made through administration need to be reflected in the customer-facing commerce experience, while customer actions need to become usable operational data for administrators. Building More Than a Storefront The project required engineering the operational infrastructure behind the storefront, including inventory, orders, customers, finance, analytics, marketing, and support. Integrating AI Into Commerce The AI chatbot needed to exist within the shopping experience without making the interface feel disconnected from the core eCommerce journey. Managing Complex Commerce Workflows Products, inventory, orders, payments, customers, shipping, and support are interconnected. The backend therefore needed to support a coordinated commerce lifecycle rather than isolated CRUD functionality. Creating a Scalable Administrative Experience The admin interface needed to accommodate multiple operational areas while remaining understandable for business users. Project Outcome SkinMater was developed as a complete custom eCommerce platform combining customer shopping functionality with a dedicated business administration system. The resulting platform provides a foundation for managing an online beauty and personal-care store through a unified technical ecosystem. The project demonstrates DevSell's capability to develop custom eCommerce software with: Modern frontend engineering Backend development Custom admin dashboards Commerce workflows Authentication Payment integration AI-powered support Inventory systems Analytics Marketing management Containerized infrastructure No fabricated revenue figures, traffic numbers, conversion rates, customer counts, or performance claims are included in this case study.

Cover image for Coletix AI is an AI-powered

Coletix AI is an AI-powered software development platform designed to provide a structured environment for planning, building, testing, reviewing, and improving modern software products. Developed as a proprietary product by DevSell, Coletix AI addresses a fundamental challenge in modern software development: turning complex product requirements into reliable, structured, production-oriented software through an AI-assisted development workflow. Rather than treating AI as a simple code-generation tool, Coletix AI is designed around a broader software engineering lifecycle. The platform can take a project from initial requirements and clarification through technical analysis, architecture planning, implementation, verification, review, and bounded repair. The platform is designed to support different categories of software, including websites, mobile applications, SaaS products, and complex custom software systems. This makes Coletix AI an example of advanced custom software development focused on AI-assisted engineering, workflow orchestration, project memory, controlled execution, and production-oriented software delivery. The Challenge Traditional software development often involves disconnected stages. Requirements may be documented separately from architecture decisions, implementation may happen without sufficient validation, and debugging can become an iterative process without a structured feedback loop. AI coding tools can accelerate individual development tasks, but generating code alone does not solve the broader engineering problem. A production software platform needs more than code generation. It requires: Structured project requirements Requirement clarification Technical analysis Architecture and system planning Controlled implementation Persistent project context Approval gates Execution controls Verification Testing and evaluation Review workflows Error handling Bounded repair Security considerations Multi-tenant isolation Resource and capacity management Coletix AI was engineered around these requirements. The Solution Coletix AI introduces a structured AI-assisted software development workflow that connects product requirements with engineering execution. The workflow is designed around several stages: Project Intake → Clarification → Expert Analysis → Architecture & Blueprint → Build Specification → Approval → Implementation → Verification → Review → Bounded Repair This approach provides a more controlled development lifecycle than treating an AI system as an unrestricted autonomous coding assistant. The platform maintains project context and provides mechanisms for controlling execution, approvals, budgets, capacity, checkpoints, and evaluation. These capabilities are intended to make AI-assisted development more structured, observable, and suitable for complex software projects. Core Product Capabilities AI-Assisted Software Engineering Coletix AI is built around AI-assisted engineering rather than simple prompt-to-code generation. The platform provides an environment in which AI can participate in multiple stages of software development, including requirement understanding, technical analysis, architecture planning, implementation, verification, and review. This allows the development workflow to focus on the complete software lifecycle rather than isolated coding tasks. Project Intake and Requirement Clarification A successful custom software project starts with understanding the problem correctly. Coletix AI provides a structured project intake workflow designed to capture requirements and clarify ambiguities before implementation begins. This helps transform high-level product ideas into more structured engineering requirements. Expert Analysis and Architecture Planning Before implementation, the system can move through analysis and architecture-oriented stages. The objective is to establish a technical blueprint before significant implementation work begins. This workflow can cover areas such as: Application architecture Backend services Frontend architecture Database requirements API structure Service boundaries Execution requirements Integration requirements Security considerations Deployment considerations Build Specifications Coletix AI separates planning from implementation through build-oriented specifications. This creates a clearer transition between what the software should do and how the system should implement it. Approval Gates A significant part of the platform's architecture is controlled execution. Approval gates can be used to prevent important development stages from proceeding without the required authorization. This creates a more predictable workflow for complex software projects where uncontrolled autonomous execution could introduce unnecessary risk. Implementation and Execution After planning and approval, implementation can proceed through the platform's development workflow. The underlying architecture incorporates execution and orchestration technologies designed for multi-step AI workflows and software engineering tasks. Verification and Evaluation Coletix AI includes verification-oriented stages rather than treating implementation as the final step. The platform incorporates checkpoints and evaluation mechanisms to support validation of development outcomes. This creates a feedback loop between implementation, verification, review, and repair. Review and Bounded Repair When problems are identified, the platform is designed around controlled repair rather than unrestricted repeated modification. This bounded repair approach helps maintain greater control over changes and provides a structured path from issue detection to correction. AI Orchestration Architecture Coletix AI incorporates modern AI orchestration technologies to support complex, multi-stage development workflows. The platform includes integration foundations for: LangGraph — used as part of the durable workflow-orchestration architecture. Mastra — incorporated into the expert-agent, memory, and evaluation architecture. Cline SDK — integrated into the development-agent execution architecture. These components are combined with Coletix's broader application infrastructure rather than functioning as isolated AI features. The architecture is designed to support durable workflows, project context, agent coordination, checkpoints, evaluation, and controlled execution. Technology Stack Coletix AI uses a modern full-stack architecture designed for scalable custom software development. Frontend React Used for interactive application interfaces and component-driven frontend development. Next.js Used for the modern web application architecture and frontend application delivery. Backend Node.js Provides the server-side JavaScript runtime. NestJS Provides a structured backend architecture for APIs, services, modules, and application-level business logic. Programming Language TypeScript Used across the application architecture to provide strong typing and maintainability for a complex software platform. Database PostgreSQL Used as the relational database layer for structured application data. Prisma Used as the database ORM and application data-access layer. Caching and Queues Redis Used for high-speed data operations and infrastructure components requiring in-memory storage. BullMQ Used for background jobs and queue-based task processing. Infrastructure Docker Used for containerized application and infrastructure deployment. AI and Agent Technologies LangGraph Durable AI workflow orchestration. Mastra Agent, memory, and evaluation architecture. Cline SDK AI-assisted development and execution capabilities. Project Architecture The architecture was designed around separation of concerns between the product interface, application services, persistent data, asynchronous processing, AI orchestration, and execution infrastructure. At a high level, the system connects: User Interface → Application/API Layer → AI Orchestration → Agent/Execution Layer → Background Jobs → Database & Project Memory → Verification & Evaluation This architecture allows the platform to handle more than simple synchronous requests. Complex development workflows can require multiple operations, background tasks, checkpoints, state transitions, and verification stages. The architecture therefore incorporates queue-based processing, persistent project context, and workflow orchestration. Project Memory One of Coletix AI's important architectural concepts is persistent project memory. Complex software development requires continuity. Requirements, decisions, architecture information, project state, previous work, and evaluation results can all become important context for later stages. Coletix AI incorporates project-memory concepts to help maintain continuity across development workflows instead of treating every AI interaction as an isolated request. Multi-Tenant Architecture Coletix AI was designed with multi-tenant isolation as an important architectural consideration. A multi-tenant software platform must maintain logical separation between different users, workspaces, projects, and associated data. The architecture therefore considers tenant isolation as part of the platform rather than treating it as an afterthought. Execution Controls AI-powered software development requires appropriate controls around execution. Coletix AI incorporates mechanisms related to: Approval gates Budgets Capacity controls Checkpoints Idempotency Evaluations Project state Controlled repair These controls help create a more predictable environment for AI-assisted development. Why This Is Custom Software Development Coletix AI demonstrates custom software development at the platform level. The project was not limited to creating a conventional website or implementing an isolated AI chatbot. It required designing and engineering an integrated software platform involving frontend applications, backend services, database architecture, asynchronous processing, AI orchestration, project memory, agent execution, security considerations, multi-tenant architecture, and controlled development workflows. The product architecture was designed around a specific software development problem and its associated engineering requirements. This is what makes Coletix AI a strong example of custom software development for AI-powered products. Development Workflow The development methodology behind Coletix AI emphasizes progressive engineering rather than unrestricted feature implementation. A typical workflow can be represented as: 1. Project Intake Capture the initial software requirements and project objectives. 2. Clarification Resolve ambiguous requirements and establish a clearer product definition. 3. Expert Analysis Analyze technical requirements and identify implementation considerations. 4. Architecture & Blueprint Create a structured technical direction for the software. 5. Build Specification Translate the approved technical direction into implementation requirements. 6. Approval Apply appropriate approval gates before execution. 7. Implementation Execute the development work using the platform's engineering and AI capabilities. 8. Verification Validate the resulting implementation. 9. Review Evaluate the implementation against requirements and expected behavior. 10. Bounded Repair Address identified issues through controlled corrective workflows. This lifecycle creates a more systematic approach to AI-assisted custom software development. Engineering Challenges Building Coletix AI involved several engineering challenges. The first was coordinating AI agents and development workflows across multiple stages while maintaining persistent state. The second was creating an architecture capable of handling asynchronous operations and background workloads. The third was maintaining project context across development sessions. Another challenge was implementing controls around AI execution. Autonomous systems need boundaries, particularly when they can influence source code, project state, or development resources. The platform therefore required architecture for approvals, checkpoints, idempotency, evaluation, and bounded repair. Finally, the system needed to bring these capabilities together into a coherent product rather than a collection of disconnected AI utilities. Security and Reliability Considerations Security and reliability were treated as architectural concerns throughout the platform. Important considerations include: Tenant isolation Controlled execution Authentication and authorization boundaries Project-level data separation Approval mechanisms Idempotent operations Checkpoints Evaluation workflows Controlled repair Resource and capacity controls For an AI-powered development platform, these controls are particularly important because software-generation workflows can involve complex state transitions and potentially high-impact operations. Product Scope Coletix AI is designed to support a broad range of software development scenarios. The platform can be applied to projects such as: Custom websites Web applications Mobile applications SaaS platforms AI-powered applications Business software Complex custom software systems Multi-service applications Agentic software workflows Its architecture is intended to provide a common development environment while supporting different types of software projects. Business and Product Value Coletix AI demonstrates how custom software development can evolve beyond conventional application development. For businesses, the important value is not simply generating code faster. The larger opportunity is creating a structured development workflow where requirements, architecture, implementation, verification, and improvement are connected. For development teams, this can provide a more systematic environment for AI-assisted engineering. For complex projects, persistent context, approval gates, checkpoints, evaluations, and controlled execution can help reduce the risks associated with unstructured AI development. Outcome Coletix AI was developed as a proprietary AI-powered software development platform by DevSell. The resulting system combines a modern full-stack application architecture with AI orchestration, agent capabilities, persistent project context, asynchronous processing, multi-tenant considerations, and controlled software-development workflows. The project represents DevSell's capability to design and build complex custom software products from the underlying architecture through the application layer and AI engineering infrastructure. No fabricated performance statistics, customer numbers, awards, revenue figures, ratings, or artificial success metrics are used in this case study.

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Muhammad Shoukat

Full stack Web & App Developer | AI & Automation | SEO