Over 90% of online sales are prepared and supplied from the phisical stores. Keeping them coordinated is crucial for your omnichannel strategy
Bad customer experience
lost sales
Taking into account the different stores that serve as last mile suppliers we detect disparities between online and store.
Minimize incongruencies between channels to improve performance of both
Tareas generadas automaticamente por el algoritmo teamcore para solucionar problamas online y ofline.
Cada vez que tu equipo visita un punto de venta se crea un reporte de visita con todos los detalles.
Mantente en contacto con tu equipo, discute problemas y soluciones.
Sabemos que no todas tus tiendas abastecen al e-commerce, por eso el análisis OLA, considera ubicación de cliente y local
Smart Retail Execution hace más fácil pasar de la información a la acción. Ayudará a tu equipo en terreno a identificar y corregir diferentes problemas más rápido, sin gastar tiempo en analizar datos.
OOS is strongly linked with store execution and replenishment problems—and the penalty for stockouts has risen dramatically. Simply put: if a product is not on the shelf when a customer wants it, they will go elsewhere, or simply don’t buy at all.
Whereas incorrectly displaying a higher price may result in lost sales, a lower price results in disappointment at checkout. Any way you cut it, an incorrect price tag means lost revenue for the retailer, a poor experience for the consumer, or both.
According to studies, up to 50% of all promotions are missing or not executed to plan. It is no wonder that more than half of all promotions fail to impact retail sales according to HBR, and up to 75% of brands lose money on trade promotions.
Goods that are recorded as available on-hand but not actually being present can delay automated reordering, and often requires manual recount. Erroneous stock on hand is a major cause of OSA problems, accounting issues, and restatements.
Retail visibility and merchandising problems, such as partially empty shelfves, incorrect placement, or being faced over by another product, can result in customers believing you don’t have a product in stock even when you do.
Uncover sales issues hidden in your POS and inventory data by monitoring retail sales performance across all of your products and stores in real-time.
Accurately diagnose up to 94% of retail execution issues and prioritize field activities by the potential sales impact with proprietary machine learning (ML).
Improve the ROI of your field teams & brokers up to 300% by improving their effectiveness with dynamic Smart Tasks that help them find and fix issues faster.
Better sales digital channel closing the gap between pysical and digital
Real time alerts
Omnichannel visibility
Prioritize tasks.
Help your team get better results
Online product analisis
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