Artificial Intelligence enabled stock management solution
Lithuanian IT company specializing in process management system development has created an artificial intelligence enabled stock management solution. The proposed solution can be fully integrated in any automated process system helping to increase process speed accuracy, while reducing labour costs. Company is seeking for a partnership based under the commercial agreement with technical support for their technology.
Basing partnership under the commercial agreement with technical assistance, company is aiming to find a partner, who is interested in making continuous efficiency to their good movement process. Partner would receive a full technical assistance through the system design and implementation stages.
Lithuanian software development company with extensive experience working in transport, logistics and manufacturing industries have been developing technology solutions since 2004. Following latest technological advancements company offers their customers fully customized process management solutions that enables close monitoring of their processes and helps to achieve better efficiency. Company has been working with artificial intelligence (AI) integration to the process management solutions and now are ready to offer fully tested system for their clients. Currently developed solution is dedicated for effective stock management. Technology allows close monitoring of each part of stock movement providing accurate data, that can be analyzed for further analysis aiming to achieve greater efficiency. Technological solution is able to connect all parts of the process from the stock intake to complete product shipment, plan activities and produce accurate business data. Currently software development company is looking for a partner, who would be interested working under the commercial agreement with technical assistance to introduce their technology to the market.
Advantages and innovations
Developed technology, enabled by the artificial intelligence, allows to separate and analyze each different process individually and the whole process as a whole. One of the advantages of this solution is its ability to accurately measure, separate and compare goods movement time between different process points. This allows effective data analysis that provides valuable information for further process efficiency.
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