Organize retail data
We work with your team to map available retail data and organize it for reporting and analysis.
Raw, cleaned, and prepared data
A medallion model separates raw, cleaned, and prepared data. Choose the layers based on your sources and reports.
Shared retail data model
A shared data model can connect selected inventory, sales, and logistics records for reporting.
Prepare data for reporting
Structured data can support BI reports and machine-learning projects. Results depend on data quality and system configuration.
Plan product replenishment
Use historical sales, seasonal patterns, local events, and competitor pricing when connected to estimate store demand. Review forecasts before setting orders. Accuracy varies.
Store-level demand forecasts
Forecasts can use historical sales, seasonality, local events, and competitor pricing when those inputs are available.
Purchase order planning
Demand estimates can inform purchase order planning alongside lead times and minimum order quantities.