Assortment Optimization
Stocking the Right Products to Meet Demand with AI
Challenges
Traditionally retailers have stocked their stores with the same products based on the season or featuring the current product lineup with only limited variations. Different store locations, however, have different customers, different weather, different display capacity and inventory capacity resulting in very different needs. The result of one-size approach is “stock outs” on hot items and markdowns on others, both costing the retailer hard-won profits. Customer satisfaction and loyalty are also greatly impacted when shoppers cannot find items in the store that they came to see and buy.
Opportunity
AI is ideal for optimizing assortment for retailers. AI models can look at a variety of factors including past sales, store display space, local trends, online behavior, predicted weather patterns, and more to determine which products would be the best fit for a given store location. This AI based optimization prevents stockouts by sending more inventory to stores where products are most needed and minimizes markdowns by making sure that products are on display where they can be sold at full price. AI models can even reroute inventory between stores to ensure that retailers can take advantage of local trends.
Why H2O.ai
The mission at H2O.ai is to democratize AI for all so that more people across industries can use the power of AI to solve business and social challenges. Leading retail brands like Macy’s, Walgreens, eBay and HEB and more use H2O.ai technology to forecast product demand, create personalized customer experiences, and drive advanced inventory planning. H2O Driverless AI is an award-winning platform for automatic machine learning that empowers data science teams to scale machine learning efforts by dramatically increasing the speed to develop highly accurate predictive models. Driverless AI includes innovative features of particular interest to retail brands including machine learning interpretability (MLI), reason codes for individual predictions, and automatic time series modeling.
Related Case Studies
With H2O we are able to build models quickly so we can find patterns that we can use right away.”
Daqing Zhao, Director, Advanced Analytics, Macy's
H2O allowed us to interface directly with our existing application and it scales for our massive data set. There is nothing else like it.”
Satya Satyamoorthy, Director of Software Development, Nielsen Catalina Solutions
Resources
Learn More About H2O.ai
Request an H2O AI Cloud Demo
We’re here to help you get started with H2O AI Cloud. Our demos will walk you through the capabilities of the platform and AI applications. We will help you determine how H2O AI Cloud can solve your organization’s specific challenges.
Demo Center
Access our in-depth product demos. Watch them all or jump to the product features most relevant to you.