AI Packing

AI packing software automates one of the more repetitive and error-prone decisions in a warehouse: figuring out which box or carton to use for a given order. Instead of relying on a packer's judgment or a fixed set of manual rules, AI Packing evaluates the dimensions and constraints of every item in an order alongside your available carton sizes to recommend the most efficient packing configuration. It also applies any special handling requirements — fragile items, orientation restrictions, hazardous materials — automatically, so those rules don't depend on one experienced employee remembering them correctly every time. The result is delivered as a clear packing plan, and in more complex cases, a 3D visualization showing exactly how items should be arranged inside the chosen carton. For operations shipping a high volume of varied orders, this reduces both the time spent deciding how to pack something and the material waste that comes from guessing wrong on box size.

AI Packing works by analyzing the dimensions, weight, and any handling constraints of every item on an order, then comparing that information against your available carton sizes and packing rules. It's essentially solving a fit problem: finding the carton, or combination of cartons, that holds everything safely while minimizing wasted space, since unused space in a box often translates directly into higher dimensional-weight shipping charges. Any special requirements you've configured — like keeping fragile items away from heavier ones, respecting orientation restrictions, or separating hazardous materials — get factored into the recommendation automatically, rather than depending on a packer remembering every rule for every order type. Once a configuration is selected, AI Packing generates a packing plan that lays out exactly what goes where, and for more complex orders, a 3D blueprint that shows the physical arrangement. That combination is designed to take the guesswork out of packing decisions while still respecting the constraints that matter for a given shipment.

Yes. AI Packing is built to apply packing rules and special handling requirements automatically as part of generating a recommended configuration, rather than treating every item the same way. That includes accounting for fragile items that need protective placement or separation from heavier goods, orientation requirements for items that must stay upright, and constraints tied to hazardous materials that may need to be isolated or packed according to specific handling rules. These requirements are configured against your item data, so the system consistently applies them across every order rather than depending on whichever packer happens to be working a given shift knowing the right rule. This matters most for operations with a mix of product types, where manual packing decisions are more likely to introduce inconsistency or safety risk as order volume grows. Because the rules are applied automatically and consistently, teams typically see fewer damaged shipments and fewer compliance issues tied to how sensitive or regulated items were packed.

AI Packing is designed to work inside your existing ERP-connected operations rather than as a standalone tool layered on top. For customers running SAP Business One or Macola, it connects directly to item master data, order details, and carton configurations already stored in the ERP, so packing recommendations are based on live, accurate data rather than a separate system that could fall out of sync. This also means packing plans and any related transactions can flow back into your ERP or warehouse management workflows without manual re-entry. Because Agility Intelligence is built with an ERP-agnostic architecture, the underlying approach isn't limited to a single platform, though the depth of integration available today is most established for SAP Business One and Macola environments. If you're running a different ERP or WMS and want to know what integration would look like for your specific setup, that's a good conversation to have directly, since implementation details vary by environment.

Savings vary by operation, but the two biggest drivers are reduced material waste and lower dimensional-weight shipping charges, both of which stem from choosing a more appropriately sized box for each order. When packing decisions are made manually, it's common to default to a larger, more familiar box size rather than the truly optimal one, which increases both the cost of packing materials and the shipping charge calculated from a box's dimensional weight rather than its actual weight. By consistently recommending the most efficient configuration for each order, AI Packing helps close that gap across every shipment rather than just the ones a particularly careful packer happens to get right. Customers using Agility Intelligence's AI tools broadly have reported productivity gains of up to 30% and meaningful reductions in freight costs, though the exact savings for your operation will depend on your current packing practices, order mix, and carrier rate structure. A short pilot is generally the fastest way to see real numbers for your environment.