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2. Collaborative planning, forecasting, and replenishment

   en.wikipedia.org/wiki/Collaborative_Planning...

   Collaborative planning, forecasting, and replenishment (CPFR) is an approach to the supply chain process which focuses on joint practices.This is done through cooperative management of inventory through joint visibility and replenishment of products throughout the supply chain.

3. John Galt Solutions - Wikipedia

   en.wikipedia.org/wiki/John_Galt_Solutions

   John Galt Solutions is a privately held software company that provides forecasting and supply chain planning for mid-market companies. [1] [2]Founded in 1996 and headquartered in Chicago, they claim more than 6,000 customers worldwide use John Galt Solutions products every day.

4. Supply chain management - Wikipedia

   en.wikipedia.org/wiki/Supply_chain_management

   Beyond design and maintenance of a supply chain itself, supply chain professionals participate in aspects of business that have a bearing on supply chains, such as sales forecasting, quality management, strategy development, customer service, and systems analysis. Production of a good may evolve over time, rendering an existing supply chain ...

5. Forecasting - Wikipedia

   en.wikipedia.org/wiki/Forecasting

   Supply chain management and customer demand planning — Forecasting can be used in supply chain management to ensure that the right product is at the right place at the right time. Accurate forecasting will help retailers reduce excess inventory and thus increase profit margin. Accurate forecasting will also help them meet consumer demand.

6. How Retailers Are Attempting To Fix Supply-Chain Forecasts - AOL

   www.aol.com/finance/retailers-attempting-fix...

   Once upon a time, supply-chain forecasts were more predictable, governed by seasonal patterns and broad economic factors. However, during the pandemic, the combination of countless production and...

7. Demand sensing - Wikipedia

   en.wikipedia.org/wiki/Demand_sensing

   Demand sensing is a forecasting method that uses artificial intelligence and real-time data capture to create a forecast of demand based on the current realities of the supply chain. [ 1 ] [ 2 ] Traditionally, forecasting accuracy was based on time series techniques which create a forecast based on prior sales history and draws on several years ...