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The Forecasting Accuracy Bugaboo

Logistics Viewpoints

Demand forecasting is the process of making future estimations of how much of a given product will sell by location and time period. Organizations then convert those demand forecasts to the associated quantities of raw materials to purchase, goods to be manufactured, or finished products to ship.

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Do You Want to Sell on Amazon.com? Their Cyber Bots Demand Strong Fulfillment Performance

Logistics Viewpoints

The company combines domestic manufacturing with global sourcing. Half of those ecommerce orders are fulfilled using drop shipping. The solution uses machine learning, analytics, and automation to drive purchasing. In some cases, the e-tailer site is reporting a stock out when that is not the case at all.

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A Guide to Supply Chain Management: Making Intuition More Valuable

Arkieva

These planning and scheduling decisions occur across a complex playing field organized by decision tier (strategic, tactical, operational, and relevant time response) and organization (corporate planning, factory, marketing, purchasing, etc.). Demand Management. Analytics Workbench.

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Demand Sensing for your Supply Chain – Turn insights into actions!

ThroughPut

A recent study compiled by Deloitte reveals that those companies that were best equipped to respond to the disruption driven by the pandemic had strong relationships with their suppliers and the necessary analytical tools that helped with visibility into their broader supply networks. Do It Right With ThroughPut’s Demand Sensing solution.

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Will the Downturn Signal an Upturn?

Supply Chain Shaman

Many organizations will play the shell game of reporting forecast error so that the numbers look better: either calculating the forecast at a higher level in the forecast hierarchy (not at the item level) or reporting the data as a Weighted Mean Absolute Error. This gives supply chain leaders a false sense of security.

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Demand Planning. When The Answer To Two Simple Questions Is Not So Simple.

Supply Chain Shaman

Models Matter. In implementing planning, most of the focus in purchasing technology in the sales cycle is on optimization. With the evolution of NoSQL–Graph and Cognitive Ontological learning–models can now manage multiple data sources as inputs while driving a forecast to multiple roles simultaneously in role-based views.

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Supply Chain Case Study: the Executive's Guide

Supply Chain Opz

There are two things Boeing and Airbus have in common, utilization of lean manufacturing system and strategic sourcing concept. However, the overall implementation of strategic sourcing is a bit different between the two companies. Moreover, products can be shipped to stores in-time then lost sales is minimal.