Product slotting is a complex problem. It involves many input factors and many goals (which are sometimes at odds with each other). Traditional slotting solutions require customized models, extensive engineering, measurement, and data collection.
Jennifer AI eliminates the need for manual engineering and measurement. Jennifer algorithms create a robust slotting model, learn the spatial characteristics of the DC, and predict task time based on activity-level data captured in the DC. Better still, the model adapts to your DC and evolves as conditions change, providing continuous optimization.