Cloud-native Architecture
Context
The situation before the platform
Why a sales organisation needed one ecosystem instead of a CRM, a spreadsheet and a commission tracker.
| The business |
An enterprise software business serving sales organisations — the managers who set goals and evaluate performance, and the distributed representatives who work leads, deals and customer relationships day to day. |
| The starting point |
Sales teams relied on multiple disconnected tools to manage leads, track deals and monitor performance. The lack of integration created confusion, duplicated effort and no real-time view of the overall pipeline. |
| The trigger |
Critical customer and sales history sat in spreadsheets and older CRM systems. Moving it into a new platform was complex and risked disrupting daily operations, while concerns about protecting revenue and customer data kept growing. |
| What they wanted |
One centralised sales management ecosystem covering lead assignment through to performance evaluation — goal setting, tracking, incentives, collaboration and analytics in a single system that aligned representatives and managers around shared goals. |
| Constraints |
Many CRM platforms were too complex, and low adoption followed · representatives working in fast-paced, mobile settings needed intuitive tools reachable from anywhere · workflows had to adapt to each organisation's process without customisation turning into complexity · the architecture had to absorb more users, larger datasets and higher transaction volumes as the business grew. |
System
What it runs at today
The platform as delivered, live across web and mobile.
User adoption feedback
96%
Positive adoption feedback reported across sales teams after launch
Core features
5
Sales lifecycle management, performance analytics, lead automation, collaboration and a secure customisable CRM
Engagement length
36+
Months, with a dedicated product team through enterprise scale and growth
Team size
5+
Designers, engineers and QA covering web, Android, iOS and backend
The engineering problem
Six gaps that shaped the build from day one
Not vague pain points — the specific tensions in replacing fragmented sales tooling with one system people would actually use, each paired with what we did about it.
0
1
Leads, deals and performance living in separate tools
Sales teams relied on multiple disconnected tools to manage leads, track deals and monitor performance. That lack of integration created confusion, duplicated effort and limited real-time visibility into the overall sales pipeline.
What we did
Centralised sales management: deal tracking, customer interactions, lead assignments, commissions and bonuses brought into one unified workspace so teams stay organised and aligned rather than reconciling systems.
0
2
Years of customer history stuck in spreadsheets
Many organisations stored critical customer and sales data in spreadsheets or outdated CRM systems. Migrating that history into a new platform was time-consuming and required careful validation to keep data accurate and the business running.
What we did
Flexible import capabilities that transfer historical sales and customer data from spreadsheets or legacy systems with minimal disruption, maintaining continuity while reducing the complexity of the move.
0
3
Customer and revenue data needed structural protection
Handling sensitive customer and revenue information created ongoing security concerns. Organisations required robust safeguards against unauthorised access, breaches and accidental data loss, while supporting compliance and maintaining customer trust.
What we did
Enterprise-grade protection built into the architecture — secure authentication, role-based access controls and reliable data storage mechanisms rather than safeguards added at the end.
0
4
A CRM nobody uses records nothing
Complex and rigid CRM systems discouraged sales teams from using them consistently. Representatives working in fast-paced, mobile environments needed tools that were intuitive, responsive and accessible from anywhere.
What we did
A clean interface designed for managers and representatives alike, with structured dashboards and easy-to-read reporting that cut the learning curve and support consistent daily use across devices.
0
5
Adapting to each sales process without adding complexity
Organisations needed a system that could match their own sales processes without sacrificing usability. Excessive customisation tends to introduce unnecessary complexity, making the balance between flexibility and a simple experience hard to hold.
What we did
A balanced customisation framework: workflows and reports can be tailored to specific business processes while simplicity and consistency are preserved, so flexibility does not become operational confusion.
0
6
More users, larger datasets, higher transaction volumes
As businesses grew, their platforms had to support more users, bigger datasets and heavier transaction volumes. Existing systems struggled to scale efficiently, producing performance bottlenecks and technical limits that held growth back.
A scalable architecture using optimised performance strategies, system replication, modular services and cloud infrastructure, so added users, data and transactions do not cost responsiveness.
Architecture
How it fits together
Simplified — the shape rather than every service.
0
1
Clients
React.js · TypeScript · SCSS · Kotlin · Android · Swift · iOS
A responsive React.js web application alongside native Android and iOS clients, so a representative can log an interaction from a phone and a manager can read the pipeline from a desktop without relearning the product.
0
2
Gateway
Node.js API layer · JWT authentication · Role-based access
One API surface handles authentication with JWT, role-based access for representatives, managers and administrators, and the API-driven integrations that keep data flowing in real time across the system.
0
3
Services
Lead management · Deal & activity tracking · Commissions & bonuses · Analytics & reporting · Collaboration
Each function is a modular service, so lead assignment, deal tracking, commission calculation, reporting and collaboration can be tuned or extended without destabilising the others.
0
4
Data & infra
MongoDB · AWS · Docker
MongoDB provides flexible data management for leads, deals and performance history, with Docker and AWS supporting secure deployment and headroom as users, datasets and transaction volumes grow.
Scalability was treated as an architectural requirement rather than a later optimisation: database tuning, system replication, modular services and infrastructure planning are what let the platform absorb more users and larger datasets without losing responsiveness.
Solutions
Six systems doing the actual work
Not a features list — the specific things we built behind every number above.
Centralised sales management
Deal tracking, customer interactions, lead assignments, commissions and bonuses are all reachable in one workspace, reducing confusion and keeping teams aligned.
Real-time performance analytics
Interactive dashboards give instant visibility into sales activity, individual performance and revenue outcomes, so decisions rest on current numbers.
Smart lead assignment
Automated lead distribution routes each lead to the right representative quickly, cutting manual effort, accelerating follow-ups and creating more chances to convert.
Collaborative sales environment
Built-in chat, notifications and shared dashboards keep managers and representatives connected, improving communication and coordination across locations.
Customisable reporting & forecasting
Flexible reporting tools adapt to specific business requirements, letting leadership identify trends, forecast performance and spot growth opportunities.
Legacy data migration
Flexible imports bring historical sales and customer records across from spreadsheets and older CRM systems, preserving continuity without halting operations.
Key features
What the platform does day to day
Five capabilities, each closing one of the gaps identified above.
| Capability | Runs | Refresh | What it does |
|---|---|---|---|
| End-to-end sales lifecycle management | Unified | Continuous | Manages leads, deals, customer interactions, commissions and sales activities in a single platform |
| Real-time performance analytics | Dashboard | Real time | Interactive dashboards give instant insight into sales activity, team performance, revenue and progress |
| Smart lead assignment & workflow automation | Automated | On lead arrival | Automates lead distribution, follow-ups and routine tasks to improve response times and conversion |
| Collaborative sales workspace | Team | On activity | Communication tools, notifications and shared dashboards keep sales teams coordinated and aligned |
| Secure, scalable & customisable CRM | Configurable | On demand | Flexible workflows and processes backed by enterprise-grade security and a scalable architecture |
Integrations
How the moving parts plug in
Legacy data, analytics, collaboration and cloud infrastructure reach the platform through one API layer rather than sitting beside it as separate tools.
Connected capabilities
Legacy data import
Spreadsheets and older CRM systems
Analytics & reporting
Dashboards, ROI and forecasting
Collaboration tools
Chat, notifications, shared views
Cloud infrastructure
AWS hosting, Docker deployment
↓
Through one API layer ↓
Platform integration layer
Node.js API layer
One contract for every client
Auth & role management
Representatives, managers, admins
Workflow automation
Lead routing and follow-up rules
↓
Into the core services ↓
Core services
Leads
Deals
Commissions
Analytics
Collaboration
Because assignment, tracking, commissions and reporting resolve against the same services, a manager setting a goal, watching progress against it and paying the incentive it earns are three steps in one dashboard rather than three separate systems.
Security
What protects the platform and its data
The platform holds sensitive customer records, deal values and commission data — so protection was designed in, not bolted on.
Secure authentication
JWT-based authentication governs every session, so access to customer and revenue information is established at the gateway rather than assumed inside the application.
Role-based access controls
Representatives, managers and administrators each reach only what their role requires, limiting unauthorised access to pipeline, commission and customer records.
Reliable data storage
Storage mechanisms and database optimisation protect against accidental data loss while keeping reporting queries fast as historical volumes build up.
Infrastructure reliability
System replication, containerised deployment and infrastructure planning keep the platform available and performing as workloads and user counts increase.
Process
How we got there
Five stages, starting with how wind projects are actually run rather than a feature list.
0
1
Discover
Analysed day-to-day sales workflows, gathered stakeholder feedback and identified operational gaps across lead management, reporting and team collaboration.
0
2
Define
Set clear objectives around automating repetitive tasks, improving performance tracking, strengthening data security and creating a CRM architecture able to carry growth.
0
3
Design
Created intuitive UI/UX workflows, structured dashboards and readable reporting interfaces to minimise the learning curve and help teams adopt the platform quickly.
0
4
Develop
Built a custom CRM ecosystem uniting lead management, analytics dashboards, communication tools and performance tracking in a single architecture.
0
5
Validate
Ran performance testing, usability validation and security assessments so the platform stayed reliable, secure and able to scale with evolving requirements.
Business impact
What changed for the business
Beyond the headline numbers, three things project teams noticed first.
One connected sales ecosystem
Sales management moved from fragmented tools and manual processes into a single digital ecosystem where teams collaborate and track performance transparently.
Pipeline visibility for managers
Managers gained real-time visibility into sales pipelines, so goals, progress and revenue could be read from live dashboards rather than reconstructed afterwards.
Streamlined work for representatives
Representatives benefited from streamlined workflows, which is what turned automation into measurable productivity, efficiency and customer engagement gains.
Commercial outcome
What the engineering choices are worth in operating terms
Every headline number traces back to a specific decision, not a vague platform effect.
| Engineering decision | Operating outcome | Measured effect |
|---|---|---|
| Centralised sales workspace | Representatives stop re-entering the same data across disconnected tools | 50% more productive |
| Smart lead assignment & workflow automation | Leads reach the right representative quickly and follow-ups happen sooner | 40% faster conversion |
| Real-time dashboards & reporting | Managers read pipeline, activity and revenue as they happen | 35% more visibility |
| Intuitive UI/UX and structured dashboards | Sales teams use the system consistently instead of working around it | 96% positive adoption |
Stack
What it's built on
The actual technologies, not feature names with icons attached.
Frontend
- React.js
- JavaScript
- TypeScript
- SCSS
Mobile
- Kotlin
- Swift
Backend & data
- Node.js
- Kotlin
- MongoDB
Cloud & infra
- AWS
- Docker
- JWT
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