Warehouse Intelligence is an environment of analysis, planning and optimisation of intralogistic processes based on artificial intelligence algorithms. (Q77702): Difference between revisions
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(Removed claim: summary (P836): Reference_reference_programme_aids:SA.41471 (2015/X) _public:art:25 Commission Regulation No 651/2014 of 17 June 2014 declaring certain categories of aid compatible with the internal market in the application of Article 107 and 108 of the Treaty (OJ(OJ LEU L 187/1, 26.06.2014).The aim of the project is to develop a final solution to the environment for analysis, planning and optimisation of the logistical processes based on artificial intellig...) |
(Created claim: summary (P836): Reference number of the aid programme: SA.41471(2015/X) Purpose of public aid: Article: 25 EC Regulation No 651/2014 of 17 June 2014 declaring certain types of aid compatible with the internal market in the application of Articles 107 and 108 of the Treaty (OJ L. I'm sorry. EU L 187/1 of 26.06.2014). The aim of the project is to develop the final solution, which will be the environment of analysis, planning and optimisation of intralogistic proc...) |
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Reference number of the aid programme: SA.41471(2015/X) Purpose of public aid: Article: 25 EC Regulation No 651/2014 of 17 June 2014 declaring certain types of aid compatible with the internal market in the application of Articles 107 and 108 of the Treaty (OJ L. I'm sorry. EU L 187/1 of 26.06.2014). The aim of the project is to develop the final solution, which will be the environment of analysis, planning and optimisation of intralogistic processes based on artificial intelligence algorithms – Warehouse Intelligence (WI). The project is planned for 4 stages of industrial works and 1 stage of development. The completion of industrial works will allow the WI environment and the trained ML models to be obtained using a specific (base) warehouse simulation. For the final verification of the solution, it is necessary to go beyond laboratory and simulative conditions and to test the software in the production environment (the actual warehouse), which is a key task in the development work. The main objective of the projected Warehouse Intelligence environment is to use artificial intelligence algorithms to optimise logistics processes in warehouses and distribution centers. It is assumed that the WI environment will be based on WMS systems that support storage processes in target customers. An appropriately selected and effective intralogistics management system is a key element in the business of logistics companies, because by optimising warehousing processes, operating expenditure can be reduced, resulting in significant savings. The target group will be medium and large enterprises and those with medium and large storage facilities. The offer will be addressed both to companies operating logistics independently and outsourced – the potential group of clients are also service providers, i.e. logistics operators. The developed set of functional features is a unique solution and will help to build an effective competitive advantage. Using the product (English) | |||||||||||||||
| Property / summary: Reference number of the aid programme: SA.41471(2015/X) Purpose of public aid: Article: 25 EC Regulation No 651/2014 of 17 June 2014 declaring certain types of aid compatible with the internal market in the application of Articles 107 and 108 of the Treaty (OJ L. I'm sorry. EU L 187/1 of 26.06.2014). The aim of the project is to develop the final solution, which will be the environment of analysis, planning and optimisation of intralogistic processes based on artificial intelligence algorithms – Warehouse Intelligence (WI). The project is planned for 4 stages of industrial works and 1 stage of development. The completion of industrial works will allow the WI environment and the trained ML models to be obtained using a specific (base) warehouse simulation. For the final verification of the solution, it is necessary to go beyond laboratory and simulative conditions and to test the software in the production environment (the actual warehouse), which is a key task in the development work. The main objective of the projected Warehouse Intelligence environment is to use artificial intelligence algorithms to optimise logistics processes in warehouses and distribution centers. It is assumed that the WI environment will be based on WMS systems that support storage processes in target customers. An appropriately selected and effective intralogistics management system is a key element in the business of logistics companies, because by optimising warehousing processes, operating expenditure can be reduced, resulting in significant savings. The target group will be medium and large enterprises and those with medium and large storage facilities. The offer will be addressed both to companies operating logistics independently and outsourced – the potential group of clients are also service providers, i.e. logistics operators. The developed set of functional features is a unique solution and will help to build an effective competitive advantage. Using the product (English) / rank | |||||||||||||||
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| Property / summary: Reference number of the aid programme: SA.41471(2015/X) Purpose of public aid: Article: 25 EC Regulation No 651/2014 of 17 June 2014 declaring certain types of aid compatible with the internal market in the application of Articles 107 and 108 of the Treaty (OJ L. I'm sorry. EU L 187/1 of 26.06.2014). The aim of the project is to develop the final solution, which will be the environment of analysis, planning and optimisation of intralogistic processes based on artificial intelligence algorithms – Warehouse Intelligence (WI). The project is planned for 4 stages of industrial works and 1 stage of development. The completion of industrial works will allow the WI environment and the trained ML models to be obtained using a specific (base) warehouse simulation. For the final verification of the solution, it is necessary to go beyond laboratory and simulative conditions and to test the software in the production environment (the actual warehouse), which is a key task in the development work. The main objective of the projected Warehouse Intelligence environment is to use artificial intelligence algorithms to optimise logistics processes in warehouses and distribution centers. It is assumed that the WI environment will be based on WMS systems that support storage processes in target customers. An appropriately selected and effective intralogistics management system is a key element in the business of logistics companies, because by optimising warehousing processes, operating expenditure can be reduced, resulting in significant savings. The target group will be medium and large enterprises and those with medium and large storage facilities. The offer will be addressed both to companies operating logistics independently and outsourced – the potential group of clients are also service providers, i.e. logistics operators. The developed set of functional features is a unique solution and will help to build an effective competitive advantage. Using the product (English) / qualifier | |||||||||||||||
point in time: 14 October 2020
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Revision as of 14:18, 14 October 2020
Project in Poland financed by DG Regio
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Warehouse Intelligence is an environment of analysis, planning and optimisation of intralogistic processes based on artificial intelligence algorithms. |
Project in Poland financed by DG Regio |
Statements
2,832,823.27 zloty
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4,837,308.66 zloty
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58.56 percent
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1 April 2020
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31 August 2022
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"PSI POLSKA" SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
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52°24'2.2"N, 16°55'11.3"E
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Numer_referencyjny_programu_pomocowego: SA.41471(2015/X) Przeznaczenie_pomocy_publicznej: art: 25 rozporządzenia KE nr 651/2014 z dnia 17 czerwca 2014 r. uznające niektóre rodzaje pomocy za zgodne z rynkiem wewnętrznym w stosowaniu art. 107 i 108 Traktatu (Dz. Urz. UE L 187/1 z 26.06.2014). Celem projektu jest opracowanie finalnego rozwiązania, jakim będzie środowisko analizy, planowania i optymalizacji procesów intralogistycznych oparte o algorytmy sztucznej inteligencji - Warehouse Intelligence (WI). Projekt jest zaplanowany na 4 etapy prac przemysłowych i 1 etap prac rozwojowych. Zakończenie prac przemysłowych pozwoli uzyskać środowisko WI oraz wytrenowane modele ML przy użyciu symulacji konkretnego (bazowego) magazynu. Do końcowej weryfikacji rozwiązania wymagane jest wyjście poza warunki laboratoryjno-symulacyjne i przebadanie oprogramowania w środowisku produkcyjnym (rzeczywistego magazynu), co stanowi kluczowe zadanie w ramach prac rozwojowych. Głównym założeniem projektowanego środowiska Warehouse Intelligence jest zastosowanie algorytmów sztucznej inteligencji do optymalizacji procesów logistycznych w magazynach oraz centrach dystrybucji. Zakłada się, że bazą dla środowiska WI będą systemy WMS, które obsługują procesy magazynowe u klientów docelowych. Odpowiednio dobrany i skuteczny system zarządzania intralogistyką jest kluczowym elementem w działalności firm z branży logistycznej, ponieważ poprzez optymalizację procesów magazynowych można zredukować wydatki operacyjne, co skutkuje znacznymi oszczędnościami. Grupą docelową będą średnie i duże przedsiębiorstwa oraz te posiadające średnie i duże magazyny. Oferta skierowana będzie zarówno do przedsiębiorstw obsługujących logistykę samodzielnie, jak i korzystających z outsourcingu - potencjalną grupę klientów stanowią także usługodawcy czyli operatorzy logistyczni. Opracowany zestaw cech funkcjonalnych stanowi o unikalności rozwiązania oraz pozwoli budować skuteczną przewagę konkurencyjną. Za pomocą produkt (Polish)
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Reference number of the aid programme: SA.41471(2015/X) Purpose of public aid: Article: 25 EC Regulation No 651/2014 of 17 June 2014 declaring certain types of aid compatible with the internal market in the application of Articles 107 and 108 of the Treaty (OJ L. I'm sorry. EU L 187/1 of 26.06.2014). The aim of the project is to develop the final solution, which will be the environment of analysis, planning and optimisation of intralogistic processes based on artificial intelligence algorithms – Warehouse Intelligence (WI). The project is planned for 4 stages of industrial works and 1 stage of development. The completion of industrial works will allow the WI environment and the trained ML models to be obtained using a specific (base) warehouse simulation. For the final verification of the solution, it is necessary to go beyond laboratory and simulative conditions and to test the software in the production environment (the actual warehouse), which is a key task in the development work. The main objective of the projected Warehouse Intelligence environment is to use artificial intelligence algorithms to optimise logistics processes in warehouses and distribution centers. It is assumed that the WI environment will be based on WMS systems that support storage processes in target customers. An appropriately selected and effective intralogistics management system is a key element in the business of logistics companies, because by optimising warehousing processes, operating expenditure can be reduced, resulting in significant savings. The target group will be medium and large enterprises and those with medium and large storage facilities. The offer will be addressed both to companies operating logistics independently and outsourced – the potential group of clients are also service providers, i.e. logistics operators. The developed set of functional features is a unique solution and will help to build an effective competitive advantage. Using the product (English)
14 October 2020
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Identifiers
POIR.01.01.01-00-0120/19
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