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. Fortunately, with the advent of artificial intelligence (AI), demand forecasting software has undergone a significant transformation.
Logistics Viewpoints
MAY 23, 2024
However, the lag in the Sales and Operations Planning (S&OP) cycle exacerbates issues like inaccurate forecasting, reduced agility, higher error rates, increased costs, limited scenario planning, and sustainability challenges, ultimately undermining supply chain performance and eroding executive confidence in the supply chain as a value driver.
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Logistics Viewpoints
MARCH 27, 2023
When it comes to running a company, when things break down executives have traditionally said “we need to improve our forecasting!” Would better forecasting accuracy be a good thing? Unfortunately, most companies cannot, and will never be able to, consistently rely on highly accurate forecasts. Absolutely!
GlobalTranz
FEBRUARY 11, 2020
Listen to “Inventory Forecasting Lessons for Improved Supply Chain Network Optimization” on Spreaker. The post [PODCAST] Inventory Forecasting Lessons for Improved Supply Chain Network Optimization appeared first on Transportation Management Company | Cerasis.
ToolsGroup
JUNE 29, 2020
Adding to this already uphill battle, we don’t have trustworthy new product forecasting methods because forecasting new products with no sales data is very hit-and-miss. Machine learning (ML) provides an effective weapon for your new product forecasting arsenal. Why is new product forecasting important?
Logility
APRIL 3, 2024
Once you’ve created a digital twin of your physical supply chain, you can manipulate and experiment with the data. You can then take it a step further with multi-echelon inventory optimization (MEIO), which provides visibility to everything from raw materials, to finished goods.
ThroughPut
APRIL 30, 2024
In the ever-evolving landscape of global commerce, businesses face a significant challenge: the pain of inaccurate forecasts and the relentless pace of market conditions. The agitation stems from the financial loss and operational inefficiencies accompanying these inaccurate forecasts. AI in supply chain forecasting is a game-changer.
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