Remove Eliminating Excel in Purchasing Remove Metrics Remove Predictive Analytics
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How Manufacturers Can Leverage AI & Analytics For Strategic Decision-Making

Silvon Software

Insights gleaned from robust data analytics enable core business areas to identify opportunities for risk reduction, enhance operational efficiencies, and foster strategic initiatives that drive business growth. For example, using forecasting models to predict quarterly sales and adjust marketing spend accordingly.

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Strategy. Strategy. Wherefore Art Thou Strategy?

Supply Chain Shaman

The use of descriptive analytics along with agile planning techniques (what-if analysis, discrete event simulation, and network design) helped. Analytics investments are essential. We find that companies with an analytics center of excellence drove progress faster than those with a supply chain center of excellence.

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How to Accurately Predict Demand in the F&B Industry?

ThroughPut

How much should you produce or purchase at a time? Inaccurate predictions, especially for seasonal and short-lifecycle products, can severely impact operations. To mitigate these risks, the F&B sector must harness advanced analytics and machine learning.

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Value Chain Planning and Decision Making in Times of Disruption (Part 2)

DELMIA Quintiq

Part 2 in the series explores the “analytical scenario exercise” and how decisions based on certain scenarios heavily impact each aspect of the value chain. Ultimately, what KPIs, as metrics and indicators derived from the set of plans are taken into account and prepared for each scenario. Technology for Effective Planning.

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Top Supply Chain Challenges for CPG companies in 2023

Logistics Viewpoints

The classical approach involves functional silos, sequential decisions, and Excel and people to render a plan executable. Big data is used to understand a customer’s propensity to buy, the tendency to return, conversion of clicks to orders, demand sensing signals, individualized promotions, etc.

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From Predictions to Operations: Compelling Supply Chain AI Use Cases

ThroughPut

With rapid fluctuations and uncertainty, predicting customer demand is like shooting in the dark. With so many changing variables, excel sheets or human intervention alone can’t gain the level of visibility needed to forecast the future. We call this AI-powered ability to predict near-term demand as demand sensing.

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How Can Manufacturers Manage Disruption and Improve Productivity?

Logility

By using advanced analytics for manufacturing, to understand the valuable information concealed within the data they already have! Advanced analytics for manufacturing is a good place to start. Here are some common advanced analytics use cases for manufacturers. How can manufacturers manage disruption and improve productivity?