From Custom Builds to 60 Stores: BVB Media E-commerce Platform Story
Mayur Patel
Mar 10, 2026
6 min read
Last updated Jul 28, 2026
BVB Media delivers customised e-commerce solutions for businesses across the Netherlands. As their client base expanded, the traditional approach of building every store from scratch started creating operational friction. Development cycles became longer, engineering effort was repeatedly duplicated, and maintaining consistency across multiple client implementations became increasingly complex. The team needed a way to scale their services without rebuilding the same infrastructure for every new project.
This case study explains how we partnered with BVB Media to design and build FTLShop, a reusable e-commerce framework engineered for scalability. The solution combined a modular frontend architecture with a custom Node.js middleware layer to bridge the frontend and the existing PHP backend platform. The result was a framework capable of supporting 50–60 e-commerce stores while significantly improving delivery speed and architectural stability.
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BVB Media Co-founders with Linearloop founder discussing multiple projects
BVB Media builds customised e-commerce platforms for businesses across the Netherlands. As their client portfolio expanded, the traditional delivery model began to show its limits. Every new store required a separate codebase, repeated engineering effort, and longer delivery cycles. This approach slowed down onboarding for new clients and created unnecessary complexity for the development teams managing multiple implementations.
To solve this, the focus shifted from individual projects to platform architecture. Instead of building each store independently, we worked with BVB Media to design FTLShop, a reusable e-commerce framework that could support multiple client deployments from a common foundation. The objective was straightforward: Create a scalable architecture that reduces repeated development work while allowing each client implementation to remain flexible and customisable.
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BVB Media founder checking on the web development plan.
The idea was to move from isolated projects to a structured framework called FTLShop. This framework would act as a reusable base architecture, enabling faster deployments while maintaining consistent performance across stores. The focus was on building a system that could scale operationally as the client base expanded.
- Reusable framework architecture: FTLShop was designed as a reusable framework that could power multiple e-commerce implementations. Instead of creating new systems for every client, teams could deploy stores using a shared architectural foundation while keeping core components stable and maintainable.
- Faster deployment timelines: The framework reduced repeated engineering work by standardising core platform elements. This enabled development teams to launch new stores significantly faster while maintaining consistent technical standards across projects.
- Support for multiple client implementations: The architecture was built to support simultaneous deployments across many stores. Each client could run on the same framework while maintaining their own configurations and business requirements.
- Flexible customisation with architectural stability: Custom features were supported through modular extensions. This allowed client-specific functionality without modifying the framework core, ensuring long-term system stability.
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Building a reusable e-commerce framework meant working within several technical and operational limits. The system had to integrate with existing infrastructure while supporting future scalability.
These constraints shaped the architectural decisions and required disciplined engineering choices throughout the project:
- Legacy PHP backend integration: The existing backend and admin panel were already built in PHP. The new framework had to integrate with this system without disrupting existing workflows or compromising performance, which required careful API orchestration.
- Pawjs dependency conflicts: Working with Pawjs introduced dependency management challenges. Certain third-party libraries created compatibility issues, requiring custom solutions to maintain framework stability.
- Distributed team coordination: Backend and design teams operated from Indonesia, while architecture planning involved teams across regions. This required structured communication and clearly defined API contracts.
- Framework discipline vs client customisation: Clients required unique features, but altering the core framework could create instability. The architecture needed extension layers that allowed flexibility without breaking the shared system.
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For BVB Media, success was not measured by launching a single platform. The expectation was to create an architecture that could support continuous client onboarding without repeating the same development effort. The system needed to enable faster delivery timelines while maintaining a consistent technical foundation across every implementation.
The framework also had to support scale. BVB Media wanted a solution capable of powering 50–60 e-commerce stores while keeping performance stable across deployments. At the same time, development complexity could not grow with every new client. The platform had to support expansion while keeping engineering effort predictable and manageable.
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Building a reusable framework on top of an existing ecosystem introduced several engineering challenges. The system had to support modern frontend architecture while remaining compatible with legacy backend infrastructure. At the same time, it needed to remain stable across multiple store deployments.
- Pawjs dependency management: Working with Pawjs required careful handling of third-party library dependencies. Several packages created compatibility conflicts, which needed custom adjustments to maintain framework stability.
- Frontend–backend integration: The frontend architecture had to work with an existing PHP backend. Bridging these systems required a structured communication layer.
- Custom API middleware design: A Node.js middleware layer was built to manage API interactions, ensuring reliable communication between frontend and backend components.
- Multi-store stability: The framework had to maintain consistent performance across dozens of live client implementations without introducing instability.
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The framework required a technology stack that could support modular frontend development while integrating smoothly with the existing backend platform.Each technology was selected to support a specific architectural requirement within the FTLShop framework.
| Technology | Role in the architecture |
| Pawjs | Served as the primary framework for building the frontend architecture. It enabled modular component development and supported scalable e-commerce interfaces across multiple client stores. |
| Node.js | Used to build the middleware layer that handled communication between the frontend system and the existing backend services. |
| TypeScript | Provided type safety and maintainable code structure within the middleware layer, improving long-term code reliability. |
| Redux | Managed frontend state efficiently, ensuring predictable data flow across the application. |
| CSS | Used for building consistent and reusable styling components within the frontend system. |
| Google Analytics | Enabled behavioural tracking and performance insights across client e-commerce stores. |
| Google Tag Manager | Managed marketing and analytics tags without requiring code changes in the core system. |
| A/B Testing Tools | Allowed teams to run conversion experiments and optimise user journeys across stores. |
| Robin Chat | Integrated customer communication capabilities directly into the platform for live engagement. |
The team designed a layered architecture that separated responsibilities across frontend, middleware, and backend systems. This approach allowed each layer to evolve independently while maintaining stable communication between components.
Layered system architecture
The platform followed a structured architecture consisting of four layers: Frontend interface, Node.js middleware, PHP backend services, and the underlying platform layer. Each layer had a clearly defined role, which prevented tight coupling between systems. This separation allowed teams to scale the platform without creating dependencies that could affect stability across multiple client implementations.
Modular frontend layer
The frontend architecture was designed to be modular and reusable. Components were structured so that interface elements, workflows, and state management patterns could be reused across different client stores. This ensured that new implementations could be deployed faster while maintaining a consistent user experience and maintainable code structure.
Node.js middleware for API orchestration
A custom Node.js middleware layer was developed to manage communication between the frontend and the existing PHP backend systems. The middleware acted as an API orchestration layer, handling request routing, response formatting, and integration logic. This abstraction prevented direct dependency between the frontend and backend systems, improving flexibility and maintainability.
Decoupling frontend and backend systems
The middleware layer allowed both sides of the system to evolve independently. Frontend teams could implement new features without modifying backend services, while backend teams could maintain platform logic without impacting the frontend architecture. This decoupling was essential for maintaining stability across multiple client deployments.
Reusable BVB Shop package
The architecture also introduced a custom package called BVB Shop, which centralised business logic and API handling. Instead of duplicating logic across implementations, this package provided a reusable foundation for core e-commerce operations. It ensured consistency across stores and simplified maintenance as the number of client implementations grew.
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Team churning out the best ideas for BVB Media projects
The project followed an Agile development approach with structured sprint cycles. Work was organised into incremental deliverables so the architecture could evolve while maintaining system stability. Each sprint focused on building specific framework components, validating integrations, and resolving dependency issues before moving to the next layer of development.
Responsibilities were clearly divided between the teams. Linearloop focused on the frontend architecture and the Node.js middleware layer that connected the system. BVB Media’s in-house team handled the backend services, platform logic, and infrastructure management. This separation allowed both teams to work within their areas of expertise while maintaining a consistent architectural direction.
Since the teams were distributed across different regions, structured communication became essential. Clear API contracts were defined to ensure reliable interaction between system layers. Regular technical discussions and planning sessions helped align development priorities, resolve integration issues early, and maintain coordination across the frontend, middleware, and backend environments.
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The platform integrated several external tools to support analytics visibility, marketing operations, and customer engagement across multiple client stores. These integrations ensured that every implementation built on the framework could track performance, run experiments, and interact with users without requiring additional custom development.
| Integration Tool | Role in the platform |
| Google Analytics | Implemented to capture behavioural data across stores. It provided visibility into traffic patterns, user journeys, and engagement metrics, helping teams understand how visitors interact with different e-commerce implementations. |
| Google Tag Manager | Enabled centralised management of tracking scripts and marketing tags. This allowed teams to update analytics configurations without modifying the core platform code. |
| A/B Testing Tools | Integrated to support experimentation across storefronts. Teams could test layout changes, messaging variations, and conversion flows to improve user engagement and purchasing behaviour. |
| Robin Chat | Added live communication functionality within the storefront. This allowed businesses to interact directly with customers, answer queries, and improve customer engagement during browsing sessions. |
The framework shifted BVB Media’s delivery model from isolated project builds to a scalable platform capable of supporting multiple client implementations. The architecture enabled faster deployments, reduced repeated engineering work, and provided a stable foundation for expanding the client portfolio.
- 50–60 e-commerce stores deployed: The FTLShop framework now powers dozens of live client implementations across the Netherlands.
- Faster deployment timelines: Reusable architecture reduced repeated development effort and accelerated store launches.
- Consistent architecture across implementations: All client stores run on a shared framework, ensuring technical stability and maintainability.
- Simplified onboarding for new clients: New e-commerce stores can be deployed using existing framework components rather than building from scratch.
- Live implementations already running: Stores including Obatala, Ledkoning, Isolatieshop, Parfumoutlet, and Stoffeholland operate on the framework.
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The framework delivered the operational stability BVB Media needed to scale its e-commerce services. Stakeholders recognised the value of moving from one-off builds to a reusable architecture that could support multiple client implementations. The platform improved delivery speed, reduced repeated engineering work, and created a consistent technical foundation for managing dozens of live stores.
The collaboration also evolved into an ongoing technical partnership. The framework continues to be maintained and supported as new client implementations are added. Both teams remain aligned on improving the platform architecture, ensuring that the system continues to support BVB Media’s growing e-commerce client base.
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BVB Media’s shift from individual e-commerce builds to a reusable framework fundamentally changed how they deliver digital commerce solutions. By introducing the FTLShop architecture, the team created a scalable system that supports dozens of client stores while maintaining stability and development efficiency. The modular frontend, middleware-driven integration, and reusable business logic layer together formed a foundation that allows the platform to grow without increasing engineering complexity.
Projects like this demonstrate the value of architecture-first thinking in modern digital platforms. When systems are designed for reuse and scalability, businesses can expand faster without compromising technical quality. If your organisation is facing similar scaling challenges in platform development, the Linearloop team can help you design and build the right architecture for long-term growth.
Mayur Patel, Head of Delivery at Linearloop, drives seamless project execution with a strong focus on quality, collaboration, and client outcomes. With deep experience in delivery management and operational excellence, he ensures every engagement runs smoothly and creates lasting value for customers.
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Univia built a voice-first AgriTech platform now used by 5,000+ farmers, many with limited digital literacy, without compromising usability or system performance. Instead of forcing users to adapt to technology, the system was designed to work the way farmers already operate: voice-led, localised, and simple. The result is a platform that delivers real-time agricultural advisory, market data, and support in a format that doesn’t require training or technical understanding.
This case study breaks down how Linearloop helped design and deliver a system that balances accessibility, scale, and performance under real-world constraints such as low connectivity, high usage variability, and a non-technical user base. Go through the full case study to understand how the architecture, design decisions, and trade-offs came together to make this work.
Univia is an AgriTech platform founded by Ravi Varmora, built to address structural gaps in Indian agriculture filled with fragmented supply chains, unreliable inputs, and limited access to timely advisory. The platform focuses on delivering real, actionable agricultural support across the farming lifecycle, from soil-level insights to market access.
At its core, Univia operates with a farmer-first approach. The goal is not just digitisation, but accessibility, making critical information like weather forecasts, mandi prices, and crop guidance available in a format farmers can actually use. It positions itself as a practical support system.
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The North Star was to build a full-stack agricultural ecosystem that supports farmers across the entire lifecycle, beginning from soil analysis, to crop planning, real-time advisory, and market access. The goal was to create a system where farmers could get accurate, timely guidance and act on it without friction.
Accessibility was central to this. Every layer, from advisory to data delivery, had to work in real-time and in formats farmers could actually use. That meant simplifying interactions, localising content, and ensuring the system could deliver insights like weather updates, mandi prices, and crop calendars without requiring technical effort from the user.
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The system had to work within real-world constraints that directly impacted architecture, design, and execution decisions:
- 4-month deadline to design, build, and deploy a production-ready platform
- Target users with low digital literacy, requiring zero-learning-curve interactions
- Rural internet conditions demand performance optimisation for low bandwidth
- Strict UI simplicity, limiting feature complexity in favour of usability
Success was not defined by traffic, installs, or surface-level engagement. It came down to whether farmers could use the platform without assistance and consistently rely on it for day-to-day decisions. If a user with no technical background could open the app, ask a question, and get a usable answer without friction, the system was working.
The second layer of success was seamless interaction between farmers and experts. Voice queries had to move through the system quickly, get resolved efficiently, and return meaningful responses without delays or breakdowns. Adoption by farmers and repeat usage became the only signals that mattered.
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The system had to handle multiple high-risk engineering challenges simultaneously, where failure in any layer would directly impact usability and trust for non-technical users:
- Voice note ingestion and processing at scale: Farmers submitted queries via audio, which required handling large volumes of unstructured audio files, storing them efficiently, and ensuring they were instantly accessible to experts without delays or data loss.
- Backend scaling under unpredictable load: Usage patterns were inconsistent, with sudden spikes in queries. The backend had to scale dynamically to process requests without downtime while maintaining response reliability.
- Real-time syncing between user and admin systems: Audio queries needed to move seamlessly from user submission to the admin dashboard, with minimal latency, ensuring experts could respond quickly and maintain system responsiveness.
- SEO and performance trade-offs: Implementing server-side rendering and SEO optimisation without slowing down the platform required careful balancing of performance, especially for users on low-bandwidth networks.
- Handling concurrent usage without degradation: Multiple users interacting simultaneously, especially during peak periods, required efficient resource management to prevent lag, crashes, or delayed responses.
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The stack was selected to balance performance, scalability, and SEO while supporting real-time interactions and low-bandwidth usage.
| Layer | Technology | Purpose |
| Frontend | Next.js | Server-side rendering for fast load times and SEO optimisation |
| Backend | PHP (Laravel) | Core application logic and admin dashboard management |
| Backend (APIs) | Node.js | Scalable API layer for handling concurrent requests and real-time operations |
| Database | MongoDB | Flexible storage for unstructured data like voice notes and user queries |
| Mobile | Android Native | Lightweight, responsive mobile experience tailored for farmer usage conditions |
The system was designed around how farmers actually interact with information, not how typical apps are structured. Every architectural decision prioritised accessibility, low friction, and reliability under real-world constraints like poor connectivity and low digital literacy. Instead of layering features, the focus was on building a system that could translate complex agricultural workflows into simple, usable interactions while still maintaining backend robustness and scalability.
- Voice-first interaction system: The core interface allowed farmers to submit queries through voice notes instead of text. This removed the dependency on typing, literacy, or familiarity with digital interfaces, making the system immediately usable for a wider demographic without onboarding or training.
- Centralised admin dashboard pipeline: All incoming voice queries were routed to a custom-built dashboard where experts could listen, analyse, and respond. This created a structured pipeline for query resolution, ensuring no request was lost and responses remained consistent and trackable.
- Localisation-first system design: Content delivery, notifications, and interactions were built around regional languages. This ensured that farmers could understand responses clearly, improving trust and usability without requiring translation or interpretation.
- Simplicity-driven architecture: The system intentionally avoided complex UI patterns and feature overload. Every interaction was reduced to its simplest form, ensuring that the platform remained intuitive while still supporting scalable backend operations.
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The team followed an Agile workflow structured around Kanban to maintain continuous progress without blocking development cycles. Work was broken down into small, actionable tasks, allowing features like voice query handling, dashboard workflows, and localisation layers to be developed and tested independently. This ensured steady delivery without overloading any part of the system.
Iteration was key to reducing risk. Features were released in controlled phases, validated quickly, and refined based on performance and usability. This approach helped balance speed with stability, especially under a fixed timeline and evolving requirements around user behaviour and system load.
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The system relied on external data sources and communication layers to deliver real-time, actionable insights to farmers. These integrations ensured that critical information like weather conditions and market prices was always up to date and accessible within the platform.
| Integration Type | Source | Purpose |
| Weather data | Third-party weather APIs | Deliver real-time weather forecasts to support crop planning and decision-making |
| Market data | Government / mandi APIs | Provide live mandi prices to help farmers make informed selling decisions |
| Communication systems | Email services | Enable notifications, alerts, and system-level communication with users |
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The platform achieved measurable adoption with 20,000+ downloads and 5,000+ active farmers using it for daily decision-making. More importantly, the system handled increasing volumes of voice queries and real-time data without downtime, validating the backend architecture under real-world conditions. SEO improvements also strengthened discoverability, ensuring the platform could scale its reach alongside usage.
The system was built with scalability in mind, allowing future expansion across data sources, advisory layers, and integrations. The architecture supports additional APIs, deeper personalisation, and extended workflows without requiring a rebuild. This ensures the platform can evolve as usage grows while maintaining the same level of accessibility and performance.
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Univia proves that building for real-world users requires more than clean interfaces and modern stacks. It requires aligning system design with how people actually think, speak, and operate. By prioritising voice, localisation, and simplicity, the platform removed friction at every layer and delivered a system farmers could trust and use without assistance.
If you’re building products where usability, scale, and real-world constraints collide, this is where most systems break. Linearloop helps you design and engineer systems that work in production. Reach out to Linearloop if you’re looking to build something that actually gets used.
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How BeatRoute Connects Brands, Distributors, and Retailers in One System
Retail distribution businesses still operate on fragmented systems. Field sales teams report activity through spreadsheets or WhatsApp. Distributor orders move through calls and manual records. Retailer data remains scattered across tools. For industries like FMCG, pharmaceuticals, consumer goods, and building materials, this lack of visibility slows decisions, weakens sales execution, and creates operational blind spots across the distribution network.
This case study examines how BeatRoute approaches this challenge. BeatRoute is a B2B SaaS platform designed to digitise distributor-led retail sales operations. It connects brands, distributors, and retailers through a single system that supports sales automation, order management, and real-time sales visibility. Continue reading to understand how this platform redesign addresses the structural problems of retail sales management.
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BeatRoute operates in industries where sales move through distributor networks rather than direct channels. Sectors like FMCG, pharmaceuticals, consumer goods, and building materials depend on large field sales teams that interact with distributors and retail stores daily. Brands need visibility across this chain, but operational data is often scattered across spreadsheets, phone calls, and informal reporting systems.
BeatRoute is a B2B SaaS platform built to modernise this distribution model. The platform centralises field sales operations by connecting brands, distributors, and retailers in a single digital system. It enables sales force automation, order management, route planning, and performance tracking while replacing fragmented reporting with real-time operational visibility across retail sales networks.
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The project’s North Star was to improve visibility and operational control across distributor-led retail sales networks. The objective was to design a platform that helps brands, distributors, and field sales teams operate from the same system rather than fragmented tools.
- Enable retail businesses to optimise sales processes by digitising field sales activities and distributor interactions.
- Improve revenue visibility by providing structured data and performance tracking across the retail distribution chain.
- Equip field sales teams with mobile-first tools for order management, sales tracking, and operational reporting.
- Align brands, distributors, and retailers within a single operational system to reduce communication gaps and manual reporting.
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Retail distribution operates through a multi-layered network of stakeholders. Brands depend on field sales teams to manage retailer relationships, while distributors handle order fulfillment and inventory movement across regions. In many companies, these activities still run through disconnected tools such as spreadsheets, phone calls, and informal reporting channels. This fragmented setup makes it difficult for businesses to track sales performance, monitor distributor activity, or maintain consistent retailer engagement.
The complexity increases as distribution networks scale. Sales teams operate across multiple territories, distributors manage inventory and payments, and retailers expect timely order fulfilment. Without a unified system, operational data remains scattered across different sources, slowing decision-making and creating gaps in visibility. BeatRoute addresses this structural challenge by designing a platform that centralises sales operations and connects all stakeholders in the retail distribution ecosystem.
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The engagement focused on designing the user interface and experience for BeatRoute’s sales enablement platform. The scope was limited to product design, to create clear workflows for retail sales operations used by multiple stakeholders in distributor-led sales networks.
- The project scope focused strictly on UI/UX design, with no backend engineering or system development included in the engagement.
- The design needed to support multiple user groups, including field sales teams, distributors, and retailers interacting with the platform.
- Interfaces were designed to remain mobile-friendly, ensuring usability for field sales representatives working primarily through smartphones.
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For the client, success meant improving how retail sales operations function day to day. The platform needed to support stronger sales execution by giving field teams clearer workflows, faster order handling, and better visibility into sales activity across distributor networks. Operational efficiency, rather than feature complexity, was the primary benchmark.
The design also had to support smoother collaboration between distributors and retailers. Interfaces were structured around real operational workflows such as order placement, account tracking, and sales reporting. Instead of abstract product features, the focus was on building tools that reflect how retail distribution actually works across field teams, distributor partners, and retail stores.
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Retail distribution platforms must support multiple stakeholders working within the same operational system. The BeatRoute design needed to accommodate three core user groups, each with distinct responsibilities, workflows, and expectations from the platform.
- Field sales teams: Required mobile-friendly tools to record store visits, place retailer orders, track sales performance, and access real-time data while operating across territories.
- Distributors: Needed clear visibility into incoming orders, payment tracking, and inventory coordination to ensure smooth order fulfilment across their retail network.
- Retailers: Expected simple engagement through order visibility, transaction records, and personalised interactions with sales representatives.
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The design focused on creating clear operational interfaces for core retail sales workflows. Each module was structured to support a specific function within the distributor-led sales ecosystem, ensuring that field teams, distributors, and retailers could manage sales activities from a single system.
| Platform module | Operational role |
| Reward points management | Displays reward points earned by users and enables redemption through a structured interface, supporting incentive programs designed to motivate sales teams and channel partners. |
| Order management interface | Provides mobile-friendly workflows for creating, tracking, and managing retailer orders, enabling field sales representatives to place and monitor orders directly during store visits. |
| Statement of accounts dashboard | Allows distributors and traders to view transaction records, track due payments, monitor credit notes, and review payment history through filtered financial statements. |
| Sales activity visibility | Presents sales activity data and performance insights, enabling brands to monitor field sales operations and track retail engagement across their distribution network. |
The project focused on interface design and user experience architecture rather than engineering implementation. The design environment was structured to support collaborative workflows, iterative feedback, and clear handoff specifications for product development teams.
- Figma: Used as the primary design environment for creating interface layouts, interaction flows, and collaborative design iterations.
- Design prototyping workflows: Enabled the team to visualise user journeys and validate interface behaviour before development handoff.
- Collaborative design reviews: Supported stakeholder feedback cycles to refine usability and align the interface with operational workflows.
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The design approach focused on building a unified operational system rather than a collection of isolated features. The goal was to structure the platform around real retail workflows so brands, distributors, and retailers could operate within the same visibility layer. Execution followed an Agile design process with iterative refinement and stakeholder collaboration.
The platform was conceptualised as a connected ecosystem where brands, distributors, and retailers interact through shared workflows. Interfaces were designed to reflect real operational relationships across the retail distribution chain rather than independent feature modules.
Design decisions prioritised workflow clarity. Sales activities, order management, and financial tracking were structured into intuitive interfaces that allow stakeholders to access operational data without relying on fragmented tools or manual reporting.
The project followed an Agile design approach where interface prototypes were continuously refined through structured iterations. Each cycle focused on improving usability, simplifying workflows, and aligning the product experience with field sales operations.
Design reviews were conducted with client stakeholders throughout the process. Feedback loops ensured the interface aligned with real retail distribution workflows and operational expectations before the final design handoff.
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No third-party integrations were included during this engagement. The project scope was limited to designing the user interface and user experience architecture for the BeatRoute platform. The design focused on structuring core product workflows such as sales activities, order management, and account visibility. Integration with external systems was not part of the design phase, allowing the work to concentrate on interface clarity and operational usability.
The design was received positively by the client and key stakeholders involved in the project. The interface structure aligned with the operational workflows used in retail distribution, making it easier to visualise how field sales teams, distributors, and retailers would interact with the platform.
Stakeholders particularly appreciated the clarity of the workflows and the usability of the interface. The design translated complex retail sales operations into structured screens and dashboards, enabling a clearer understanding of how the platform could support real-world sales activities.
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Retail distribution networks operate across multiple stakeholders, territories, and operational workflows. Without a unified system, brands struggle to maintain visibility across field sales activities, distributor coordination, and retailer engagement. BeatRoute demonstrates how thoughtful product design can bring these fragmented processes into a single operational platform, enabling clearer workflows, better data visibility, and more structured retail sales management.
If you are building a B2B platform that must support complex operational ecosystems, the design approach becomes critical. At Linearloop, we work with teams to design scalable product experiences for systems that involve multiple users, workflows, and operational dependencies. If you are planning a similar transformation, reach out to Linearloop to explore how the right design architecture can support your product vision.
Mayur Patel
Mar 16, 20266 min read
