Servipunto: Real-Time Traditional Channel Analytics
Servipunto, a solution developed in-house by Servinformación, records neighborhood store and minimarket sales in real time. With machine-learning models it anticipates and prevents inventory stockouts.
Servipunto connects shopkeepers and businesses through information recorded on its platform. Transactions across this network provide insight into product performance and purchasing relationships. Servinformación turns these records into analysis to bring channel insights into commercial management.
Real traditional-channel sales, not estimates.
Inventory stockout alerts before they happen.
Case:Puntored, retail analytics with Servipunto.
01
Observe product performance
Consult variables such as turnover, prices, distribution, and active product portfolios within the available information. Compare periods and categories to identify changes and formulate questions about your products' presence in stores.
02
Understand purchasing relationships
Explore how products are combined in receipts and how that composition changes. Basket analysis provides context for studying purchasing habits and evaluating portfolio opportunities or commercial initiatives.
03
Bring information closer to strategy
Connect indicators with questions about categories, launches, and commercial performance. Descriptive and predictive analyses help explore scenarios while always considering network coverage and data characteristics.