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Insights
How we approach the problems we are asked about most: agentic AI in .NET estates, forecasting from order history, and ERP-connected commerce. Written by the engineers who do the work.
Agentic AI · .NET
Adding agentic AI to an existing .NET application without rewriting it
Most companies do not need a new AI platform. They need their existing .NET systems to be callable by a model, safely. Here is the architecture we use.
Machine learning · ML.NET
Demand forecasting for e-commerce with ML.NET: calendar, region and weather
Annual averages hide the patterns that run an online store. A forecasting model built on your own order history can see them, and it does not need a new platform.
E-commerce · nopCommerce
Integrating nopCommerce with NetSuite: what breaks, and how to build it so it does not
Connecting a store to an ERP is less about the API than about deciding who owns what. These are the rules we build to, and the failures they prevent.
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