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Reactive Dataverse

A Robust Foundation that Seamlessly Pushes AI-Enriched Data to Front ends.

The Challenges in Modern E-Commerce

What Forms the Basis of an Outstanding Customer Journey?

More and more Data Sources ready to use

Manufacturers and retailers face the daily challenge of providing an outstanding customer journey. Data streams come from countless sources, including ERP, CRM, PIM, and additional cloud and on-premise software, all synchronized through microservices, file imports, and more.

Each Team Uses one Data Model

Utilizing these data sources for front-end applications is possible, but time-consuming and complex. Each new use case often requires new interfaces, which is further complicated by the involvement of different development teams.

And There Is Even More to Come

The emergence of metaverse applications and AI integration brings additional backend requirements that need to be solved smartly.

Problem: Data Fragmentation

How Does Data Fragmentation Impact Customer Experience?

Data should always be available

This fragmentation is further exacerbated by the increasing use of AI services. Data flows become more convoluted, and the unavailability of a service can significantly impact the end result, ultimately affecting the customer. 

The paradigm shift

Currently, data requests are handled mostly through REST APIs, which work on a request-response basis and can take different amounts of time based on system load. This causes scalability issues and performance slowdowns, leading to problems such as outdated inventory and inefficient supply chains.

Better Option: The Reactive Dataverse

What if the System Worked in Reverse?

Datasources pushes data to the forefront

Imagine data sources reactively delivering the needed information directly to the frontend with every change – whether it’s a webshop, a mobile app, a VR/AR application, an in-store checkout, or a dashboard for visualizing important business data. 

This is the idea behind the reactive dataverse. And this idea is already in use on a large scale at Netflix or LinkedIn, for example.

The Solution: Introducing Pelton

How Does Pelton Revolutionize Data Management?

1. Pelton-Node:

  • Installed between the frontend application and existing systems.
  • Runs as a standalone executable jar file on a server. Pelton is optimized for operation with Kubernetes/Docker.
  • Caches all necessary data persistently, so the frontend application no longer needs to query all systems individually. This relieves backend systems and reduces the time it takes for data to travel from producer to consumer.

2. Expandability:

  • Additional Pelton jar files can be placed directly next to applications (ERP, CRM, PIM, AI models, etc.).
  • Systems reactively deliver data to multiple frontend Pelton-Nodes, making the entire system even more stable.
  • Large data volumes can be easily synchronized and exported, as Pelton can transfer data from any node to any desired format. This improves transparency and efficiency in information provision.

3. Central Management and Monitoring:

  • A superior Pelton-Node handles the configuration and visualization of data flows.
  • This admin backend serves system maintenance and optimization of real-time (AI) analytics.

Benefits for All Involved​

What Are the Benefits of Pelton for All Involved?

For Producers and Retailers:
  • Efficiency and Reliability: Data is processed more efficiently and is immediately available, enhancing the customer journey.
  • Scalability: The system can be easily expanded to meet new demands.
  • Time-to-Market: New applications can be brought to market faster, as data is already available in a predefined structure at the frontend. This increases sustainable development efficiency.
  • Simpler Integration: New use cases do not require new interfaces, as Pelton caches and manages the data.
  • Stability and Fault Tolerance: The system remains stable even when individual components fail.
  • Team Decoupling: Data-as-a-Service allows teams to work independently, enhancing innovation capability. Few new interfaces are needed for new applications, as Pelton already delivers these from the source application.
  • Optimal User Experience: Data updates instantly and is available in real-time, providing a seamless and fast user experience.
  • Reliability: Applications run smoothly, even if issues arise in the background.
  • Personalization and Analytics: Improved analytics enable better planning and personalized customer experiences.

Conclusion: The Future with Pelton

Pelton Turns the Vision of an Optimal Customer Journey into Reality.

A perfect win-win-win situation

It offers a scalable, efficient, and reliable solution for future AI applications and data integration, meeting the needs of producers, retailers, developers, and end users. 

Pelton is not just a better option – it is the future of data management in e-commerce, ready for a journey into the digital metaverse.