6 Proven Ways AI Will Improve Your OMS

As we progress into the next fiscal year and roll through the daily motions required to meet a new set of annual objectives, retailers like you know — better than anyone — how fleeting the status quo in the retail world can be. Fulfillment models have evolved tremendously over the past decade, yet many of the systems merchants rely on to meet new delivery expectations have not. In today’s retail environment, the point of purchase can be wherever the consumer wants to be, adding a new level of complexity to the standard, rules-based order management system (OMS) running every e-commerce transaction coming through.

That being said, to be efficient, profitable, and fast for online delivery requires an ability to adapt to consumer’s ever-changing needs in advance while leveraging your stores. This means arming systems with predictive insights to anticipate demand and understand what/when/where your next customer will buy.

So, the question stands, how exactly have retailers tackled the challenges online fulfillment presents? Here are six proven ways AI will significantly improve your existing OMS:  

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Topics: ship-from-store, artificial intelligence, ecommerce, order delivery, brick-and-mortar retail, technology adoption, order fulfillment, OMS, order management systems

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