A Pricing Engine for Everyone built with AzureML and Python

This post describes the Microsoft Pricing Engine (MPE), a cloud tool for pricing optimization. MPE is easy to integrate into the business process as it uses the business’ transactional history and does not require A/B testing infrastructure to be set up. A double-residual modeling approach in MPE is the newest advanced causal inference approach to…

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“AutoML” Parameter Search for Hierarchical Demand Forecasting Optimization

In general, machine learning approaches expose many options that affect performance and accuracy. “AutoML” (Automated ML) concerns problems of optimizing over such options. Forecasting demand of products that form a hierarchy raises this kind of challenge. We recently wrote a blog post about demand forecasting for hierarchical data. We listed several approaches to reconciling forecasts…

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Introducing Microsoft Data Science Virtual Machine

Microsoft Data Science Virtual Machine (DSVM) is a custom virtual machine on Microsoft’s Azure cloud build specifically for doing data science. It’s a powerful data science development sandbox equipped with the most popular tools for data exploration and modelling. You can provision a DSVM with a few clicks on Microsoft Azure website, and within 10-20…

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Demand forecasting for hierarchical data

Introduction Demand forecasting is an essential component of supply chain management. Accurate demand forecast leads to more effective production planning, better inventory management, or more accurate capacity planning. We collaborated with UXC Eclipse, a global Dynamics partner, to build a customer-tailored application for demand forecasting using Cortana Intelligence Suite components. The solution not only improved…

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Describing reorder point problem

How much to order when and which replenishment policy to use for which product and questions of similar nature are asked all the time among folks responsible for managing operations at a distribution center or in a manufacturing plant. The problem is well-understood but not necessary simple. Choices are many. Here is a short deck…

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Learning with Partners at WPC 2016

Hey folks, What a whirlwind WPC2016 was this year!  I was happy to see Dynamics 365 get unveiled and to hear Satya talk about the Common Data Model.  We’re very excited to see unification happen on the various entity models that have evolved over the years and to see another example of the One Microsoft strategy…

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Looking forward to WPC

Hey folks, WPC is just a few weeks away and I wanted to take a moment to update folks on the sessions that should be of particular interest to System Integrators / Value-Added-Resellers and Independent Software Vendors (SIs/VARs/ISVs) that are investigating and/or developing solutions for customers incorporating components of the Cortana Intelligence Suite.  Here’s a few sessions that…

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Unlocking your data’s potential with the Dynamics AX 2012 R3 Entity Store and Cortana Intelligence Suite

For those interested in adding intelligence to their AX solutions, the release of the AX2012 R3 entity store today is a big deal. The AX2012 R3 Entity store is a feature that enables Administrators and Power users to export their entities to a data store dedicated for Reporting and Analytics. We call this database “Entity…

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Recommendation API – Solution architecture perspective for Microsoft Dynamics customers

Read this post to get an overview of this API and to get better understanding of how to build a solution using this service. For details about the service itself read the technical documentation.   Who uses the recommendations API? Recommendations API is popular with Microsoft Dynamics customers, particularly in distribution and retail space. The…

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Building a data driven supply chain with Cortana Analytics

EXECUTIVE SUMMARY Dynamics partners have a huge opportunity to reinvent supply chain scenarios and deliver a data-driven application that uses machine learning, optimization solvers and other advanced analytics to embed intelligence and surround the traditional rule-based automated business process enabled by Dynamics. They could do this by dynamically predicting supply chain input. Instead of asking…

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