Efficient processes and well-founded decisions are the key to success in the highly competitive retail sector. Dataciders supports retail customers in the areas of master data, warehouse management and analytics. Our solutions enable optimized inventory management, a more efficient supply chain and well-founded decisions based on precise data analysis.

Our focus:

• Data analysis & reportingCarrying out detailed analyses to support business decisions. Creating reports and dashboards to visualize sales and inventory data.

• Data Warehouse Management (DWH)Management and maintenance of a data warehouse to ensure a consistent and reliable database. Implementation of ETL processes for data integration.

• Master data management / PIMEnsuring the quality and consistency of product, customer and supplier data. Development and implementation of management guidelines.

• ERP systemsSupport in the implementation and optimization of ERP systems in cooperation with various departments.

Retail companies face particular challenges in supply chain management (SCM), especially in the area of data analytics and artificial intelligence (AI). Our holistic approach provides support from the SCM strategy and process design through to the data level.

• Demand planning & forecast accuracyWe use modern AI-supported algorithms to improve demand planning and forecast accuracy in order to take seasonal fluctuations, promotions and external factors into account. In this way, we support integrated business planning (IBP) and reduce excess stock and supply bottlenecks.
• Data quality & integrationFragmentation of systems and data sources is a common problem in retail. We help retailers build advanced data architectures and data management systems that create a consistent, clean database to enable accurate forecasting and optimization.
• Risk management & supply chain resilienceBy using a digital twin of the supply chain and AI-supported systems, we help to proactively identify and analyze risks in the supply chain. Simulations of various disruption scenarios enable the targeted implementation of countermeasures to strengthen resilience.

The application of analytical methods supports management in identifying trends and developing strategies to increase sales and reduce costs. We use:

• Big data technologiesAnalysis of large and complex data sets to predict customer behavior and optimize business processes.

• Low code platformsDevelopment of individual solutions and automation of processes without extensive programming knowledge.

• Artificial intelligence (AI)Use of AI algorithms to improve data quality and support business decisions, for example when classifying items in the online store.

PLM tools offer retailers special functions for managing the life cycle of their products. These go beyond traditional ERP systems and support the development of private labels and seasonal promotions in particular:

• Private label product developmentPLM enables the management of product documentation from conception to market launch.

• Promotions and campaign managementPlanning and implementation of product campaigns across the entire supply chain.

• Tracking the life cycle of merchandiseIntegration of functions from ERP systems to optimize goods procurement, production and logistics.