Automated Machine Learning Helps Retailers Better Forecast Demand

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DataRobot Automated Machine Learning Helps Retailers Better Forecast Demand Resource card v2.0

One of the biggest challenges retailers face is determining how much product inventory and what types of products they need to have on hand in order to meet the expected demand from consumers. In general, retailers are constantly struggling to match inventory with demand, because they can’t accurately predict how the market will change and what buyers’ habits will be in the future.

 

Fortunately, technology such as automated machine learning and advanced analytics are available to greatly enhance retailers’ ability to predict future demand for goods. These tools provide managers with unprecedented insights about demand, so they can make informed decisions that could potentially save their companies tremendous amounts of money.

 

This white paper looks at some of the challenges retailers are facing today and how automated machine learning solutions can help them address these hurdles and improve business results.

DataRobot Automated Machine Learning Helps Retailers Better Forecast Demand Resource card v2.0
  • DataRobot's platform makes my work exciting, my job fun, and the results more accurate and timely -- it's almost like magic!
    Omair Tariq

    Data Analyst, Symphony Post Acute Network

  • I think we need to take it upon ourselves in the industry to build the predictive models that understand what the needs and wants of our customers are, and go through the whole curation process, become their concierge.
    Oliver Rees

    General Manager – Torque Data at Virgin Australia

  • At LendingTree, we recognize that data is at the core of our business strategy to deliver an exceptional, personalized customer experience. DataRobot transforms the economics of extracting value from this resource.
    Akshay Tandon
    Akshay Tandon

    VP of Strategy Analytics, LendingTree

  • DataRobot allows us to understand the data that’s being fed into our models without blindly feeding whatever we get into our system. DataRobot makes my team very effective.
    Deena Narayanaswamy
    Deena Narayanaswamy

    Head of Data Insights, Avant

  • We know part of the science and the heavy lifting are intrinsic to the DataRobot technology. Prior to working with DataRobot, the modeling process was more hands-on. Now, the platform has optimized and automated many of the steps, while still leaving us in full control. Without DataRobot, we would need to add two full-time staffers to replace what DataRobot delivers.
    Evariant