Logility
SEPTEMBER 1, 2023
Demand forecasting plays a crucial role in business success, as it helps predict customer demand and plan inventory effectively. However, traditional forecasting methods often fall short in accuracy. With the advent of artificial intelligence, demand forecasting has undergone a significant transformation.”
ToolsGroup
MARCH 30, 2022
Nespresso’s complex coffee supply chain. It’s no simple task providing customers access to the full range of capsules and coffee machines on all sales channels, across more than 70 boutiques in Italy, while optimizing inventory levels. What drove Nespresso’s supply chain planning project?
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Logility
DECEMBER 15, 2023
From harvest to hands, the food & beverage (F&B) industry leaves no room for guesswork, especially without supply chain optimization software. This reality is compelling F&B companies to rethink their strategies and approach to supply chain optimization and demand planning.
Logistics Viewpoints
JANUARY 11, 2024
Let’s just come right out and say it – without the ability to capture, aggregate, and understand your supply chain data, you have gray area within your organization. Yet, the money was spent, and the technology is now in place. How can you make it all work together and build a better supply chain business, fast?
Logility
JULY 20, 2023
Good forecasting leads to good demand planning —and good demand planning means better profitability. That’s why it’s essential to be sure you’re equipping your organization with the right demand planning software. Here are our answers to some of the most common questions about demand planning software.
Logistics Viewpoints
JANUARY 18, 2024
Consequently, everyone asserts they are utilizing AI, and those in the supply chain world are no exception. How will it address “the world hunger problem” in supply chains, particularly in the context of supply chain planning? How can AI contribute to end-to-end decision automation?
Logility
APRIL 3, 2024
The life sciences are integral to the quality of life and lifespan, but the field faces some uniquely difficult inventory challenges. Once you’ve created a digital twin of your physical supply chain, you can manipulate and experiment with the data.
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