We bring the field-proven approach including data models, pre-built templates for the different analytical applications such as receipt analysis, supplier, customer analysis, customer campaign support, loyalty systems, loss prevention, planning and budgeting, etc.
The more than 100 realized use cases range from optimization of the customer journey, fraud detection, receipt analyses, store analytics, supply chain optimization, loss prevention analyses, balanced scorecard for retailers, integration and analysis of omni-channels, online store analyses (e.g. traffic, visitor and content), integration of online interactions with financial data, benchmarking and marketing optimization with integration of external providers such as Nielsen. Traffic, Visitor and Content), Integration of Online Interactions with Financial Data, Benchmarking and Marketing Optimization with Integration of External Providers like Nielsen , up to Building Complex Advanced Analytics Models, Use of ML and AI Technologies for e.g. Reassorting and Inventory Planning.
synvert saracus supported the implementation of a central group-wide multi-domain master data system. In addition, the governance MDM organization was established.
As part of the project, a modern service-oriented MDM platform was introduced. Partner and article data would be cleaned, consolidated, integrated and enriched from the multiple companies and markets as well as from the different systems and stored in the form of a golden record and offered to the target systems in the required structure through the different channels (API, ESB).
Design and development of an analytical model for automatic demand forecasting (reassortment) of DIY store products. As soon as the stock of an item falls below a certain quantity, an order is automatically triggered at the supplier.
In addition, synvert saracus developed the analytical model for optimal inventory planning at the customer’s site. The trained model continuously calculates the threshold values per item and triggers the necessary orders with the supplier.
synvert saracus has migrated several leading European retailers’ receipt analysis systems (e.g. on-premises DB2, Oracle, Teradata) to the cloud (e.g. Snowflake and Cloudera). The elasticity and flexibility of the cloud environments enables much more comprehensive receipt analysis than in the old on-premises systems with improved performance.
In the course of standardizing the data architecture, synvert saracus supported several retailers in consolidating the data from their international SAP systems into a central cloud DWH. Here, the synvert saracus retail industry model as well as the experience in setting up the high-performance real-time cloud architectures (e.g. Azure, AWS, GCP in combination with Kafka and Snowflake ) were used.
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