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Solution Accelerator

Order Picking Optimization

Pre-built code, sample data and step-by-step instructions ready to go in a Databricks notebook

Order Picking Optimization
Optimize order picking to increase profitability

Optimize order picking to increase profitability

Demand for buy-online pick up in-store (BOPIS), curbside and same-day home delivery is forcing retailers to use local stores as rapid fulfillment centers. Caught off guard in the early days of the pandemic, many retailers scrambled to introduce and expand the availability of these services, using existing store inventories and infrastructure to deliver goods in a timely manner. As shoppers return to stores, requests for these services are unabated, and recent surveys show expectations for still more and faster options will only increase in the years to come. This is leaving retailers asking not only how best to deliver these capabilities in the longer term but also how to do so while remaining profitable.

Get started with our Solution Accelerator for Order Picking to apply optimization logic to each order to:

  • Avoid unexpected delivery outcomes and assess the impact of small variations on order picking
  • Minimize total store travel time to increase profitability
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Order Picking Optimization

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