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Мicrosoft Dynamics 365 Supply Chain Management

Microsoft Dynamics 365 Supply Chain Management is an intelligent, holistic ERP application that enables large and midsize enterprises to improve operational efficiency, optimize business processes and increase company profitability by ensuring high productivity and transparency of the operating cycle.

In Microsoft Dynamics 365 Supply Chain Management it is possible to build an integrated and optimal model for managing warehouse and transport logistics, production (the system supports discrete, process, design and lean), and inventory, the results of which can be monitored throughout the entire product lifecycle, in real time.
Business analysis technologies (Power BI), Artificial Intelligence (AI), Internet of Things (IoT), Mixed reality (МR) and Machine Learning (ML) built into Dynamics 365 Supply Chain Management allow bringing the enterprise to a fundamentally new level of competitiveness, providing top management with modern tools for information processing and data analysis, which makes it possible to increase the decision-making speed and timely adapt business to changing market conditions.

Microsoft Dynamics 365 Supply Chain Management allows:

Optimize production processes
All production processes integration and transparency - from planning to procurement of materials and logistics, enabling production progresses to be tracked in real time, from accurate delivery times to reduced costs. IoT technologies make it possible to prevent equipment malfunctions, minimize downtime, improve the quality of products, increase production volumes, as well as improve staff productivity and reduce the number of errors associated with the human factor. The use of Mixed Reality (MR) makes it possible to implement a production process irrespective of complexity, which can be controlled in real time, promptly redirect production routes, and significantly reduce the level of unproductive downtime.

Modernize warehouse management
Procedures based on Machine Learning technologies allow you to set up orders and groups of orders (flexible management), optimize the use of warehouse space and equipment, as well as streamline staff activities in different parts of the warehouse. Built-in Microsoft Power BI analytics allows you to speed up processing warehouse orders, such as,: inventory, reservation, placement, picking, etc.

Maximize asset life
Significantly extend the service life and improve the overall performance of equipment through the use of modern intelligent technologies (IoT, MR). This makes it easy to plan, predict and timely perform preventive and corrective maintenance of company assets.

Manage complex supply chains effectively

Integration of all sales and procurement processes with logistics, inventory management, production, warehouse and transportation. Enabling full transparency of complex supply chains, as well as provides the necessary flexibility to reschedule production in real time in accordance with dynamically changing demand. The use of built-in predictive analytics can help improve the delivery of products and services and optimize planning.

Make conscious decisions, implement any bold innovative ideas, and effectively manage your business in a global competition and rapidly changing market environment with Dynamics 365 Supply Chain Management.

Our team has deep business expertise, industry and technical knowledge combined with many years of successful experience in implementing ERP projects, based on applications: Microsoft Dynamics 365 for Finance and Operations (Dynamics 365 Finance, Dynamics 365 Supply Chain Management) and previous versions of the system (Microsoft Dynamics AX 2009, Microsoft Dynamics AX 2012). We will help your enterprise develop a single, comprehensive solution based on Microsoft Dynamics 365, the implementation of which will give an impetus to business development, increase the profitability and investment attractiveness of the company. Reach us on +38044 4902220 or e-mail erp@innoware.com.

Functionality Мicrosoft Dynamics 365 Supply Chain Management

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