Algorithms & AI
IMI‘s algorithms and artificial intelligence are the heart and brain behind optimizing warehouse operations and improving efficiency. Algorithms can be configured to certain products, customers, placement, slot time and automations. Some of the features of our algorithms and AI being used in our WMS are:
These algorithms are used to optimize the picking process by determining the most efficient pick load carriers and routes for order picking, as well as the best sequencing of tasks. They may take into account factors such as product and packaging dimensions, order priority, item location, and picking method (e.g. batch picking, zone picking, or wave picking).
These algorithms help determine the optimal placement of items within the warehouse based on factors such as item velocity, size, and demand. They may also take into account factors such as item compatibility and storage restrictions, e.g. temperature or humidity requirements.
These algorithms help determine the most efficient routes for moving items within the warehouse, whether for put-away, replenishment, or order picking. They may take into account factors such as traffic flow, congestion, and proximity to other tasks or operations.
Algorithms and AI are being used to analyze historical data and identify patterns and trends to predict future inventory placement and levels and ensure that the right products are in stock at the right place.
WMS is increasingly using autonomous vehicles such as drones or autonomous forklifts to transport products within the warehouse. AI algorithms are used to optimize the movement of these vehicles to reduce travel time and improve efficiency.
Machine learning algorithms are being used in WMS to learn from past data and improve decision-making. For example, machine learning algorithms can be used to optimize picking routes or to predict the most efficient way to store products in the warehouse.