The name of the base system (platform): | Artificial intelligence (AI, Artificial intelligence, AI) |
Developers: | Infor |
Date of the premiere of the system: | 2020/01/30 |
Branches: | Trade |
Technology: | SCM, trade Automation systems |
2020: An exit in the general access of the solution Infor Retail Allocation
On January 30, 2020 the Infor company announced an exit in the general access of several solutions designed to help fashion brands and omnichannel retailers to optimize management of warehouse stocks, to increase the accuracy of demand planning and the offer, to increase production efficiency and to accelerate an output of fashionable products to the market at once.
The number of the presented solutions constructed on machine learning technology (ML) included Infor Retail the products Allocation, Infor Omni-Channel Planning for Brands, the latest version Infor CloudSuite PLM of for Fashion and also RFID Infor Nexus Scan & Pack.
"Retailers who are not capable to minimize costs by optimization of planning, creation and the movement of products on all supply chain will not be able to compete with the rivals. Optimization requires ability to develop and release prototypes, to organize production most close to sales market and also to move trade inventories so quickly as far as in general it is possible. And it is equally right for physical shops and online trade. The uniform access point to data on all trade inventories, and secondly is for this purpose necessary, first, capability to deliver orders from any point in space which will be optimal taking into account the whole set of the factors which are continuously changing in real time. All software solutions and the analytical systems should be unified to provide the one and only current version of data, to provide good understanding of these data and an opportunity to make the weighed decisions on their basis. Without it retailers will not be able to do successful business in the modern market", Jordan K. Spir noted (Jordan K. Speer), the head of the international research department in a segment of the organization of supply of IDC company |
"Thanks to the presented solutions retailers will gain faithful representation about the current demand for components of the products and for finished goods. Besides, the platform which is capable to support shorter product lifecycles, than earlier will be at their disposal. Everything together it will allow to reduce considerably volumes of losses, to reduce the cost of products and the general labor costs which arise in a supply chain — from purchase of lightnings before delivery of finished products", |
According to the statement of the developer, Infor Retail Allocation uses machine learning technology of Infor to solve problems of optimum allocation of trade inventories — to provide a maximum of sales of goods at "total price" and to minimize a markdown and inappropriate losses. In the solution support of the multimodal fulfillment taking into account all types of demand and nodes, including suppliers, distribution centers and shops is implemented. The solution allows retailers to plan placement of trade inventories according to lifecycle stages — from start prior to a final sale. Thus it is possible to optimize a margin for all lifecycle for each product.
Infor Retail Allocation is the solution constructed on machine learning technology and the goods allowing retailers to resupply in distribution centers and to bring them to shops within uniform process. It, in addition, helps to reduce the accompanying labor costs, claim in Infor.
About other solutions mentioned above read in questionnaires: Infor Omni-Channel Planning for Brands, Infor CloudSuite PLM for Fashion and Infor Nexus RFID Scan & Pack.