Achieving the ‘Endless Aisle’ with Intelligent Supply Chain Systems

Legacy limitations and lack of insight Many companies, especially in the retail space, have already focused a lot of attention on creating the front-end experience for the endless aisle, giving their customers various digital options for ordering products from both in-store and online inventories. O...

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Veröffentlicht in:CIO 2022-11
Hauptverfasser: Weber, John, €“ Supply Chain, Protiviti, Weathersby, Geoff, €“ Emerging Technology
Format: Artikel
Sprache:eng
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Zusammenfassung:Legacy limitations and lack of insight Many companies, especially in the retail space, have already focused a lot of attention on creating the front-end experience for the endless aisle, giving their customers various digital options for ordering products from both in-store and online inventories. Outdated facilities, order management systems, and supply chain processes Inflexible systems that prevent order fulfillment from multiple warehouse or retail locations The lack of true, real-time visibility into inventory status (i.e., what is available, where it is located now and where it needs to be) The inability to project where the next order will most likely originate so that inventory can be staged at the closest location to fill that order at the lowest cost AI and ML play a leading role in helping supply chain operators overcome these limitations and build a next-generation supply chain. Integrating their ERP system and warehouse management system will also be a critical measure to ensure efficiency and timeliness when the business eventually starts shipping inventory from more places to serve customers in any location. 3.
ISSN:0894-9301