Artificial intelligence makes it possible to implement space management at the level of individual stores, and optimised in this way the space management will serve the store’s customers and its everyday operations. Currently, space management is usually implemented higher up in the organisation, at the chain level, and takes into consideration the size of a store and possibly also the potential demand of its catchment area. This means that when it comes to stocking shelves flexibility is needed in addition to hands – and the result may not necessarily be the optimal one.
Artificial intelligence can be harnessed to assist work in a store and boost sales. This is possible if the artificial intelligence is supported with information on space management rules and store level data: including product-level sales to details on shelf structure solutions.
In stores, the area surrounding service desks, for example, is often crowded, which may even prevent sales. This situation can be improved if this challenge is considered in store design. The artificial intelligence store-specific optimisation solution places the best-selling products in the most functional shelf locations and optimises the store-level data of stocking shelves, taking into consideration the overall situation.
This makes it possible to achieve a situation in which space management serves the needs of both an individual store and its customers and average efficiency will be better than just good. The use of artificial intelligence in space management will improve the efficiency of your square metres, reduce wastage and speed up shelf stocking, thus releasing your employees from routine tasks, allowing them to spend more time on customer service.
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