Smart Commerce Platform Built for a Leading German Company in Advanced Cleaning Solutions
NeoSOFT delivered this project. It is shown as an example of work, not as Sthenos past performance.
Updated
Enhancing digital shopping experiences for cleaning devices through intelligent analytics and offline-first design
Client Overview
The client is a leading German company specializing in advanced cleaning solutions, offering a range of smart cleaning devices to commercial and consumer markets. As digital channels became a key driver of sales and engagement, the company sought to modernize its online shopping experience while gaining deeper insight into user behavior.
Challenge
- Ensuring effective utilization of Adobe Analytics for accurate, actionable user data tracking
- Supporting offline access to critical data, while maintaining seamless synchronization when connectivity was restored
- Maintaining a consistent user experience and analytics behavior across devices and operating systems
- Improving data export workflows for faster analysis and reporting
Our Approach
NeoSOFT designed the solution with analytics accuracy, offline reliability, and cross-platform consistency as core priorities.
Analytics-Driven Architecture
Key metrics were defined, documented, and continuously refined to ensure Adobe Analytics captured meaningful user interactions aligned with business goals.
Offline-First Experience
The platform was designed to provide a tailored experience even without network connectivity, ensuring uninterrupted access to essential product and shopping data.
Cross-Platform Consistency
A unified development approach ensured consistent behavior, performance, and analytics tracking across devices and operating systems.
Export-Ready Data Handling
Data workflows were optimized to simplify exports, enabling faster reporting and easier integration with downstream systems.
Technical Spotlight
- Cross-Platform Mobile Development: React Native enabled consistent application behavior and Adobe Analytics tracking across iOS and Android devices.
- Offline Data Storage and Sync: Realm provided a reliable offline database, allowing users to access data without connectivity and synchronize updates in real time.
- Analytics and State Management: Adobe Analytics and Firebase Analytics supported comprehensive tracking, while Redux ensured predictable state management.
- Scalable Data Layer: MongoDB enabled flexible data storage and efficient handling of user and product information.
Solution Delivered
- Comprehensive Adobe Analytics integration across user journeys
- Offline access to key product and shopping data with real-time sync
- Consistent user experience across platforms and devices
- Simplified data export and reporting workflows
Results
- Adobe Analytics integration, enabling reliable and consistent user tracking
- Improved offline experience, supporting uninterrupted browsing and engagement
- Increased export convenience, reducing effort and time spent on reporting
- Improved confidence in data-driven decision-making
Tech Stack
A smart commerce application for a German company selling smart cleaning devices to commercial and consumer markets, built to keep working offline and to measure user behavior accurately. As digital channels became a key driver of sales and engagement, the company set out to modernize its online shopping experience and gain deeper insight into user behavior.
A German company offering smart cleaning devices to commercial and consumer markets.
React Native keeps behavior and analytics tracking consistent on both.
Product and shopping data stay available offline and sync when connectivity returns.
Tracking against key metrics that were defined, documented and refined.
On this page
- Analytics, offline and export: the brief and the result
- How shopping data moves, online and off
- The application, its offline store and its analytics
- Related commerce and mobile pages
Analytics, offline and export: the brief and the result
The four challenges on the case study, beside the four items it lists under Solution Delivered.
What the company needed
Challenge- Ensuring effective utilization of Adobe Analytics for accurate, actionable user data tracking
- Supporting offline access to critical data, while maintaining seamless synchronization when connectivity was restored
- Maintaining a consistent user experience and analytics behavior across devices and operating systems
- Improving data export workflows for faster analysis and reporting
What the application provides
Solution delivered- Comprehensive Adobe Analytics integration across user journeys
- Offline access to key product and shopping data with real-time sync
- Consistent user experience across platforms and devices
- Simplified data export and reporting workflows
How shopping data moves, online and off
The case study describes capabilities, not a sequence. Followed from a user's session to a report, they read as five stages.
- Shop on either platformReact Native gives consistent behavior on iOS and Android, with Redux keeping state management predictable.iOS and Android
- Keep going offlineRealm stores essential product and shopping data, so the experience continues without network connectivity.Realm
- Sync on reconnectUpdates synchronize in real time once connectivity is restored.Sync
- Measure what mattersAdobe Analytics and Firebase Analytics capture meaningful interactions against key metrics that were defined, documented and continuously refined.Analytics
- Export for reportingSimplified exports speed up reporting and integration with downstream systems, with MongoDB holding user and product information.Export
The application, its offline store and its analytics
The app on both platforms, the offline database it works from, the data layer the case study names, and the analytics and export pieces.
Figure 1. Offline-first commerce app with analytics and export
Parts restate the Technical Spotlight: React Native on iOS and Android with Redux, a Realm offline database that synchronizes in real time, a MongoDB data layer, Adobe Analytics and Firebase Analytics, and export-ready data handling. The page does not say which store the offline data syncs with, or where exports come from, so neither path is drawn.
Related commerce and mobile pages
The manufacturing and retail industry pages, mobile, commerce and analytics services that match the application, and two other commerce case studies.
Looking to enhance digital experiences with smarter analytics and offline capabilities?
Book a free consultation with Sthenos to explore solutions designed for precision, scalability, and long-term value.