Many small to medium-sized retailers still rely on manual and subjective processes to run their inventory network, which is costly and prone to miscalculations. We developed an automated inventory allocation tool for our home furnishings client to bring together multiple sales, inventory, and store layout datasets to intelligently allocate merchandise among their numerous stores. Using data-driven analytics, the tool is able to produce inventory allocation recommendations automatically on an on-going basis. Not only did this tool reduce overstock / stock-out issues in each store and therefore increase sales, the automation process also helped our client reduce their labour costs.