Artificial Intelligence & Machine Learning
AI and ML are at the heart of what we do at SYMSON. It is what enables us to help companies to grow. We do this by employing dynamic pricing with precision and results to help them meet their business goals and grow.
Artificial Intelligence
In business, AI can be used in a variety of ways to improve operations, increase efficiency, and drive revenue. SYMSON’s AI-based pricing uses machine learning algorithms to analyze large amounts of data and make pricing decisions. The goal is to optimize pricing strategies to maximize revenue and profit. From price optimisation to price monitoring, forecasting, measuring price elasticity, and understanding product characteristics, AI pricing has multiple benefits.
DATA STORAGE
How SYMSON uses your data
SYMSON uses APIs to import your company’s sales data to use in our system. Using our MACH architecture gives us the advantage in being able to move and store your data in servers locally or in your countries of operation. As a company, SYMSON also functions as an organised back up for your data. SYMSON’s platform can host your sales data while using it to glean insights from and make your pricing process more efficient and profitable. As a pricing platform, we handle large amounts of organizational and customer data. SYMSON is committed to data safety. Our platform is completely compliant with regional data regulations such as GDPR when it comes to handling and storage of your customer data and other sensitive information.
AI ALGORITHM
SYMSON’s Smart Algorithm
SYMSON uses AI to help companies employ dynamic pricing. It uses an AI algorithm to recommend the best price points for optimal revenue and/or profit margin . Based on the pricing strategy you choose, and the business rules that you can set up in our platform, the algorithm will recommend the optimal price points for your chosen products within the parameters. The SYMSON AI model can track and compute 52 different data points to recommend the optimal price for your products.
ML THROUGH DATA
Machine Learning Capability
Machine learning is the process of training a model using a set of data, and then using that model to make predictions or decisions about new data. SYMSON uses historical sales data through the AI Algorithm to make recommendations based on scenarios to ensure optimal prices for every product. The more data it processes, the smarter the algorithm gets. This is a self-learning process that gets better with every cycle.
HUMAN VALIDATION
Validating AI & ML Recommendations
Using our insight centre, SYMSON allows you to determine which products are performing consistently within the model. You can look at different visualisations comparing custom dimensions. The SYMSON platform also allows you to see the validity of the AI model for your specific data set. It can also recommend ways for you to improve your data quality for better results.
Scientific Backbone
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 optimise prices. We work closely together with leading scientific researchers and pricing experts.
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WE DO NOT BELIEVE IN BLACKBOX AI
Why we believe in Explainable AI
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.
Provide your own input
Spot errors and recognise shortcomings
Improve accuracy
Continue to learn and upgrade the process
Meet our Infrastructure Team
Vincent Gelink
Commercial Director
Cristian Maris
Senior Data Science
Bogdan Spinean
Technical Director
Ibrahim Elgarmouhi
Lead Data Science
