2009 Data Forecasting Inventory 
Logility
AUGUST 17, 2021
Managing consumer packaged goods inventory is challenging at the best of times, and it can be debilitating during times of local or international disruption. An advanced inventory planning and optimization solution allows these companies to set and maintain precise stock targets across a global network.
Herlitz Inventory Management
NOVEMBER 18, 2020
Pet Food Experts Selects HIMPACT by Herlitz Inventory Management to Manage Daily Forecasting and Purchasing Solutions for its 4,500 Retail Partners in 34 States. Pet Food Experts signed with Herlitz Inventory Management to deliver more efficient and more profitable solutions for its forecasting and purchasing process.
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EazyStock
MARCH 14, 2023
Rapid cost increases, interest rate hikes and reduced demand require more effective inventory management and forecasting attention. What the last recession taught us An article from McKinsey & Company (2022) analyzed the performance of about 40 publicly traded distribution companies during the 2007-2009 recession.
Logility
OCTOBER 3, 2016
Machine learning computer programs teach themselves to grow and change when exposed to new data. The algorithm evaluates forecast error each forecasting cycle and recommends or automatically selects the forecasting method that will produce the best forecast. to automatically make optimal decisions.
Supply Chain View from the Field
AUGUST 28, 2013
Historically, businesses have used one of two extremes for inventory management: push-based or pull-based. Push-based inventory management uses demand forecast to manage inventory and replenish from the supply base. The pull-based method relies on the ability to replenish the “pulled” demand.
Enterra Insights
JANUARY 9, 2023
Retail journalist Ben Unglesbee writes, “Hey retailers, it might be time to ditch your stores, move your inventory to the metaverse, replace your staff with robots, switch from cash to crypto and invest all your profits in some blockchains.”[2] It is forecasted to reach $30.73 And this will happen because of AI.
Arkieva
MARCH 24, 2016
The breakthrough of internet technologies were assumed to drive the adoption of CPFR, Collaborative Planning Forecasting and Replenishment. 2006-2009 I did a PhD on Multi-Echelon Inventory Optimization. Though benefits are clear, multi-echelon inventory adoption has been very slow. Multi-echelon is counter-intuitive.
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