The infrastructure of our platform allows SYMSON to function smoothly even when handling copious amounts of data sets and variables, all while maintaining the highest levels of security and privacy.
The infrastructure of our platform allows SYMSON to function smoothly even when handling copious amounts of data sets and variables, all while maintaining the highest levels of security and privacy.
Our infrastructure complies with highest international security and privacy regulations
Our AI and Machine Learning capability allows the software to generate real-time recommendations.
Our microservice architecture delivers robust power for our AI and ML faculties
Our infrastructure is based upon Microsoft components to deliver smooth and reliable performance.
We can handle large and complex data sets and real-time calculations thanks to our microservices architecture
Our Smart AI and ML Infrastructure delivers cutting edge learnings to the pricing algorithm
Our Machine Learning capabilities continually refines its performance by training the algorithm with new data. As it processes an increasing amount of information, the accuracy and effectiveness of the results improve. This ongoing cycle of testing and implementation allows the AI algorithms to enhance their performance, fostering a self-improving process.
By analyzing historical data in conjunction with macro factors, such as customer behavior, price sensitivity, and competitor information, SYMSON effectively predicts future trends. Its ongoing development focuses on leveraging Artificial Intelligence to determine the optimal combination and configuration of pricing strategies, as well as predicting missing variables to enhance the existing scientific model. SYMSON's algorithms are rooted in established economic theories and automatically recommend the most favorable pricing for maximizing revenue or profit margins, depending on your preference.
Symsons Platform boasts the capability to send and receive data through its robust API, delivering real-time price information with exceptional scalability and performance. The comprehensive and user-friendly Swagger API documentation ensures an efficient and seamless experience for developers working with the platform.
Our microservice architecture enables fast, reliable delivery of our complex application while ensuring seamless integration across functionalities. Independent components communicate via well-defined API contracts, allowing for rapid updates, quick adaptation to changing business needs and using AI / ML Algorithms
Our microservice architecture enables the rapid, frequent and reliable delivery of our complex application. Microservices are an architectural approach to building applications where each core function, or service, is built and deployed independently. Microservices allows our platform to have smooth working across different functionalities. It allows our updates to be deployed quickly and powers the rest of the software to do its job. This robust part of our architecture powers the AI and ML faculties in our software. Microservice architecture allows the independent components of our platform work together and communicate with well-defined API contracts. It also allow for us to meet rapidly changing business needs and bring new functionalities to market faster.
SYMSON prides itself on our secure architecture which keeps your and your clients’ data safe and compliant with the best standards of data security and integrity
Do you want to learn more about Symson’s architecture? Download our technical whitepaper.
We start with data collection from your systems
Create the best pricing strategies via the easy interface of the price builder
Guide and control AI-driven pricing with added business rules.
Utilize recommendations for ideal pricing from our scientifically-driven algorithms to increase profit margins or outperform competitors.
The algorithm continually learns from newly imported invoices and orders,
For a detailed look at SYMSON’s process, download our whitepaper!
The SYMSON Process starts with one question “How do we optimise your prices?” This question has led us to create SYMSON platform as we know it today. But how exactly does it work?
We start with data collection from your systems
Create the best pricing strategies via the easy interface of the price builder
Guide and control AI-driven pricing with added business rules.
Utilize recommendations for ideal pricing from our scientifically-driven algorithms to increase profit margins or outperform competitors.
The algorithm continually learns from newly imported invoices and orders,
For a detailed look at SYMSON’s process, download our whitepaper!
To ensure our compliance and security meets the high standards we follow, we monitor our platform extensively and non-stop. Our product team develops with the highest security quality standards that are known today. All to keep our customers' data secure.
Our platform is completely compliant with GDPR regulations when it comes to handling and storage of your customer data and other sensitive information.
Read moreOur secure network and infrastructure, includes security measurements at all layers to rule out the risk of losing customer data or other delicate information.
Read moreWe use MACH architecture (the acronym stands for Microservices-based, API-first, Cloud-native, and Headless) to support a composable enterprise meaning every component is pluggable, scalable, replaceable, and can be continuously improved. Our MACH architecture gives us the freedom to choose what tools to build and maintain a structure that makes it easy to add, replace, or remove tools in the future and improve your experience on our platform.
SYMSON started as a spin-off from the Erasmus University Rotterdam to translate scientific knowledge into practical solutions.
We bring scientific models, data science and software engineering together in an AI platform where users can optimize prices. We work closely together with leading scientific researchers and pricing experts.
Unlike blackbox AI we made sure this model is explainable and transparent to all who use our platform. Every recommendation from the AI provides the logic and the rules applied to arrive at that price. It’s crucial for the users to understand the algorithm and provide their own input to make it better. This way, we can harness the best of man and machine.
Watch and learn how our AI model takes into account several factors while calculating prices. This results in a more holistic overview while setting your price points
Symson's infrastructure utilizes Microsoft technology for a robust foundation. Its architecture is built upon a Microservices Kubernetes Architecture, while data storage and management rely on Azure SQL, Azure Data Factory, and Azure Data Lake Storage. Custom-built models and Azure Synapse support our analytics. To train our scientific model (Python), we employ Azure Machine Learning Suite.
We view OpenAI as our primary partner in generating predictions for optimal pricing strategy configurations and providing recommendations for missing data variables to enhance our scientific model or algorithm.
Azure Firewall, a cloud-native network firewall security service, delivers comprehensive threat protection for cloud workloads running in Azure. This fully stateful firewall as a service boasts built-in high availability and unlimited cloud scalability.
