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What is Rierino?
This platform provides a powerful low-code environment engineered to expedite ecommerce and digital transformation initiatives. It empowers businesses to construct and manage complex digital ecosystems by seamlessly orchestrating user experiences, intricate workflows, and diverse data streams. Specializing in composable commerce, it supports B2C, B2B, and marketplace models with flexible product and content management, allowing for rapid development and deployment of enterprise-grade applications and new services.
At its core, the platform integrates embedded intelligence and automation through Rierino AI (RAI), enhancing adaptability, productivity, and operational efficiency. It facilitates real-time automation across workflows, data processing, and content creation by supporting a wide range of AI/ML models, including Generative AI integrations. This enables organizations to develop high-performance, low-latency APIs and microservices, harness advanced analytics, deliver personalized customer journeys, and streamline product information management across all channels.
Features
- Low-Code Platform: Accelerate development of enterprise applications, services, and APIs with comprehensive low-code tools, streamlined documentation, and testing capabilities.
- Embedded AI/ML (RAI): Unlock real-time automation, data processing, and content creation with integrated AI and Machine Learning, supporting private/public models and Generative AI.
- Composable Commerce: Empower B2C, B2B, and marketplace models with a fully composable platform offering flexible product and content management.
- Rapid Microservice and API Development: Efficiently develop enterprise applications, new services, integrations, and low-latency APIs.
- Omnichannel Experience Orchestration: Seamlessly orchestrate experiences, workflows, and content across various digital touchpoints.
- Extensive ML Model Support: Incorporate private and public ML models (ONNX, TensorFlow, PMML) into low-latency APIs, processes, and event flows.
- Automated ML Model Train & Deploy: Train machine learning models in Python or R and seamlessly deploy them into microservices with private repositories.
- Out-of-Box Generative AI: Streamline Large Language Model (LLM) usage through flexible API integration with platforms like OpenAI and LangChain.
Use Cases
- B2C Omnichannel Commerce: Delivering unified experiences across channels with a scalable platform for high-growth ecommerce.
- B2B Ecommerce: Supporting complex B2B transactions with multi-channel sales, personalized pricing, and partner collaboration.
- Marketplace Commerce: Enabling multi-vendor marketplaces with vendor management, seamless integrations, and consistent customer experiences.
- Product Information Management (PIM): Streamlining and centralizing product information for accurate, real-time updates across channels.
- Content Management (CMS): Managing and publishing content effortlessly with tools for collaboration, version control, and targeted digital experiences.
- Internal Application Development: Driving operational efficiency with applications for task management and internal workflows.
- Personalization: Leveraging smart personalization tools to adapt content, products, and recommendations to individual user journeys.
- External Platform Development: Connecting with customers, citizens, and partners through collaborative portals for engagement and secure data exchange.
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