One AI platform for better results in retail
Synerise is one of the fastest growing companies in CEE in the field of Big Data and Artificial Intelligence, analyzing billions of events/transactions delivering value to retail enterprise customers in the online (ecommerce) and offline worlds. The main goal driving the company is to completely change the modern approach to real-time and flexible data management while delivering pragmatic AI solutions to the market. Synerise provides an ecosystem that collects information about end customers from multiple sources, analyzing that data, and reaching conclusions about how to optimize business processes.
Retail is the most significant industry in the development of Synerise solutions. The latest one, AI Retail Growth Suite, is a fully AI-driven solution dedicated to managing core retail processes focused on product, price and supplier collaboration intelligence. This cutting-edge new suite builds upon and expands Synerise technologies and market differentiators:
- Customer Experience and Data Platform enriched by over 2000 data types per point of sale to drive rich, contextual insights and workflow execution with a framework for quickly building new apps by developers
- Cleora - Advanced ML/DL models to support decision makers via simulations, predictions and actionable recommendations
- Terrarium - One of the fastest in-memory Databases to enable large scale real-time business scenarios execution.
At EuroShop 2020 Synerise would like to reach out the biggest European retailers to exchange ideas about current data and process-related needs and challenges and to discuss their lighthouse partnership offer.
The head of the project is Magdalena Jończak, EVP and Chief Value Officer. For more information, she can be reached at email@example.com.
Trusted by leaders
Euroshop 2020 is not only about Synerise presenting its new technologies. The company aims to show decision makers the results of active projects as well. Jarosław Królewski, Synerise CEO, will present a case study of cooperation with Żabka (the leading convenience chain in CEE) on the 19th of February at Microsoft’s CEE Retail EBC and on the 20th of February at 11AM at the Retail Technology Stage, Hall 6 | 61.
The primary technology Partner of Synerise is Microsoft. Synerise received the title of “Microsoft 2019 Poland Partner of the Year” and was a finalist in the Retail category in 2018. Synerise’s representatives will be available to reach at Microsoft’s booth located in Hall 06, booth G24 for the duration of Euroshop 2020.
Retailers make over 10.3 billion pricing and product decisions every day while only one quarter of customers are satisfied with their efforts and the rest leave sites without making a purchase. Retailers need to be confident that each product and its price is appropriate at all times in every channel and location for every consumer. They need to utilize all contextual data and market intelligence to generate the right insights to attract and delight customers, build loyalty and to meet strategic and financial goals.
Jarosław Królewski, CEO, Synerise
One of the barriers to the adoption of AI solutions by business users is the ‘black-box’ work of ML algorithms. Explainable AI Retail Growth Suite is built on the glass-box concept with natural language explanations of each recommendation. Another aspect that drives adoption is the utilization of Augmented AI concept, where we combine business logic, rules and user feedback to improve the algorithm outputs. In time those models become a trusted source for the majority of automated decisions.
Magdalena Jończak, EVP, CVO, Head of the AI Growth Retail Suite project, Synerise
Synerise is using Artificial Intelligence to completely change the modern approach to data management. Well-developed ecosystem provides the power to collect information about end customers from multiple sources, analyze that data, and reach conclusions about how to optimize business processes: all in real time.
Synerise offers its own unique, lightning-quick database, ready business solutions based on machine learning and an open platform, that can adapt to the needs of customers regardless of the industry and scale of operations.