Leveraging machine learning to improve order fulfilment throughput

PRITHWIJIT MUKHERJEE | April 29, 2019

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Buy online pickup in store or click-and-collect is now a key omnichannel initiative with retailers for driving in-store traffic by identifying potential customers online and luring them to buy other products once they arrive. YetBOPIS order fulfillment operations remain a key challenge for retailers. Once BOPIS orders are placed online by customers, some common issues faced by retailers for fulfilling these orders include: Lack of Item availability: Items ordered are often not in the store and need to be procured from regional or central distribution centers, causing fulfillment delays. Task prioritization and assignment: Associates need to perform a variety of tasks like selling using Point of Sale terminals, stock receiving and put-away, customer service tasks, etc. Hence, BOPIS tasks are often lost in the pipeline, leading to aging and ignorance.

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