Microsoft Dynamics 365 Business Central-NAV - Locus IT Services

Microsoft Dynamics 365 Business Central-NAV

Locus IT ServicesMicrosoft Dynamics 365 Business Central-NAV

Optimize your operations

Manage forecasting to fulfillment

Optimize your operations : Use sales forecasts and expected stock-outs to automatically generate production plans and create purchase orders.

Run your warehousing efficiently

Get a holistic view of inventory for efficient order fulfillment. Track every item transaction and movement by setting up bins based on warehouse layout and storage unit dimensions.

Reach optimal output levels

Calculate and optimize manufacturing capacity and resources to improve production schedules and meet customer demands.

Optimize your operations

Optimize your operations

Intelligent Business Processing using Dynamics 365 for Operations and Azure Machine Learning

Imagine if you could predict what your customers are going to buy on their next shopping spree. Or have insight into how frequently a particular item is purchased. While automated business processing has long resulted in efficient business outcomes, trends in intelligent business processing is what is defining the future of technology. Leveraging the best of Dynamics 365 for Operations and Azure Machine Learning can help in bringing consistency in your business processes and improving productivity in the long run.

Keeping Pace in a Dynamic World

The variety, volume, and velocity at which data is being generated today is massive. Adopting the right set of technologies that have the capability to work with such humongous amounts of data is a challenge many enterprises are struggling with. As the business environment and customer needs change continuously, Azure Machine Learning provides all the answers you need (in real-time and at a fraction of the cost). Instead of depending on a system that makes rule-based decisions, you can now make critical business decisions using advanced analytics and big data technologies in the cloud, while leveraging various data sources, including public data and the computing power of the cloud.

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