Our AI Configurator gives you complete control over recommendations – define the data models ISAC is trained on, set the algorithms it uses during the recommendation process, and determine which variables are considered when suggesting a recommendation.
The building blocks for each recommendation
Select the different variables that will be used to calculate the best option for a given situation.
Import training data to get recommendations up and running, then continue re-training models based on the latest data.
Configure AI for tasks beyond recommendations, such as just-in-time scheduling or photo classification.
Customize AI for your operations
Hit the ground running with out-of-the-box configurations for scheduling, stock transfers, inventory management, and more.
Optimize recommendations and create highly targeted solutions by tweaking criteria for a particular use case or region.
Build custom configurations by selecting the attributes used and creating your own AI formulas.