LM Cubing from a-SIS, a new cubing service in SaaS mode!


Accessible on the web, via any information system, LM Cubing, an a-SIS brand, offers advanced features. It uses computer power to find the most appropriate container for products. The result is fewer containers used and optimised transport costs.

a-SIS is continuing to extend its SaaS offer. This time, the Savoye Division's software publishing brand for the Supply Chain is offering a cubing service in SaaS mode. This service, invoiced on a pay-as-you-use basis, can be accessed remotely, on the web, via any information system (ERP, MES, WMS). It computes the best way of associating products with containers – whether for picking operations (consisting of placing items that have been ordered in cardboard boxes, trays or envelopes), grouping before shipping (assembling boxes or trays on pallets or roll containers), or loading (stowing shipping units in semi-trailers), in order to keep operations to a minimum. »Cubing is a very interesting way of leveraging your operations, because it helps limit the number of containers, better position products, and in particular reduce transport costs,« explains Gregory LECAIGNARD, Product Manager at a-SIS. »In an omnichannel context, this kind of function has an immediate ROI,« he adds, »but not all publishers in the market offer the same levels of optimisation.« In practice, during the handling operations, the information system sends LM Cubing a description of the objects to be positioned and the containers to be used. Once the result has been computed, the information is made available in a secure space. Order-preparation operatives merely have to follow the recommendations issued by the system, with the additional advantage that time need never be lost by repacking in the event of calculation errors, as can occur with human appraisals. The publisher has been able to refine the algorithms thanks to its knowledge of retail logistics and its accumulated experience from 30 years of installing equipment for customers in highly mechanised contexts. LM Cubing thus takes into account the characteristics of the products but especially their manipulation constraints such as, for example, items that must remain in a vertical position, hollow objects, collapsible or stackable ones.

The system is also capable of positioning a product in a diagonal position or suggesting that it be given a smaller container. LM Cubing also offers the possibility of introducing separate strategies for different costs: in one case, the cubing system could seek to limit volumes, while in another it could take into account the physical effort required from the preparer in assembling the products, and so on.

LM Cubing is a typical example of the continuous improvement process at a-SIS, whereby software solutions are no longer seen as a monolithic block but as a set of services that can function separately from one another. These services (such as cubing) can function either interoperably, or with an outside system.

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