Data exchange between all systems is streamlined and automated. From inventory to sales, the user can access any information through the planogram software.
Planogram software users gain different benefits via ERP and Inventory integration: details on products characteristics, display areas and stock per store are automatically sourced by the PMS to eliminate human errors and overloading. Namely, a state-of-the-art integrated planogram software offers: That will not only entail end-to-end optimization of the entire merchandising cycle, but also maximize the benefits of those very systems. Leaving those two systems unintegrated results to enormous overhead for Space & Category Managers, makes planogramming inefficient and bound to human error especially in the case of chains with multiple stores, thousands of SKUs and varying customer bases.Ī modern PMS must be able to connect with any system, including retail ERPs. Most of the primitive information that a smart PMS needs could exist and continuously be updated in the ERP system. Such tools are commonly referred to as Planogram Management Systems (PMS) and used towards automated planograms following an in-depth analysis of clientele demands, pricing, retail space, local and warehouse inventory. This group is responsible for Demand and Space Planning which nowadays require advanced tools for automating as many processes as possible. The primitive information of ERP systems is the fuel for other digital systems used to help retailers build truly market-driven operations efficiency.Ī key group in retail organizations struggling with performance optimization of all stores and their assets is that of Merchandizing. While ERP systems help tie together different strands of data, there is little to no continuity of these processes in digitizing brick-and-mortar retail. The need for advanced Enterprise Resources Planning (ERP) software in retail emerged as soon as technology could support interworking, multitenancy, secure and reliable computing systems.
Big retail organizations have a wealth of data in their hands: descriptive characteristics of thousands of products codes, geographically dispersed stores, sales per product code per store, online sales, live inventory data per store and many more information that can lead to clutter.
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