Predictive Analytics Software Related Topics 
Logility
OCTOBER 6, 2023
The key areas to consider when upgrading to the cloud include: The Value of Cloud Technology Cost Competitiveness Performance Expectations Upgrades Responsiveness Support Expertise & Response The Value of Cloud Technology Which business drivers and advantages are motivating companies to shift to the cloud?
Logility
SEPTEMBER 1, 2023
Demand forecasting plays a crucial role in business success, as it helps predict customer demand and plan inventory effectively. Fortunately, with the advent of artificial intelligence (AI), demand forecasting software has undergone a significant transformation. However, traditional forecasting methods often fall short in accuracy.
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Logistics Viewpoints
OCTOBER 5, 2023
With the E2E exception-base autonomous planning, the system automates decisions from demand forecasts, production plans, and order fulfillment strategies to delivery with minimal need for manual intervention. End-to-End Supply Chain Planning Platform The end-to-end process begins with data.
Logistics Viewpoints
JANUARY 5, 2022
ARC analysts have published predictions about supply chain technology trends at the beginning of the year in past years. It is therefore unsurprising that these characteristics are central to our 2022 supply chain predictions. The post 2022 Supply Chain Predictions appeared first on Logistics Viewpoints.
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Despite many software companies slapping AI on everything the reality is that there are a lot of hurdles to overcome before AI can be effective. Machine Learning and AI are not magic bullets to solve all supply chain problems. Learn how to leap them.
Logistics Viewpoints
JANUARY 31, 2023
As we turn the page on 2022 , I’d like to make five supply chain predictions about what to expect for 2023. The aggressive interes t rate hikes by the Federal Reserve are expected to ease as the year progresses, improving predictability and helping address rising cost concerns.
Logistics Viewpoints
MARCH 31, 2022
If there’s a bright spot anywhere it’s the fact that, as logistics challenges have grown, so has the availability of advanced technologies to manage these challenges. For logistics teams, digital control towers add maximum value when they’re integrated with the transportation management system (TMS). Warehouse Task Automation.
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Adopting a predictive intelligence platform allows you to outperform your supply chain goals, overcome challenges of spreadsheet-based planning, and improve the bottom line. Historically, supply chain planning processes have been performed using error prone and time-consuming spreadsheets.
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How can new technologies help your team improve? Although nobody could have predicted the degree of disruption most companies experienced last year, the pandemic did expose the many challenges organizations face when it comes to inventory. A quarter of them are investigating tools and techniques to improve in this area.
Speaker: Brian Dooley, Director SC Navigator, AIMMS
It’s no secret that demand is getting more difficult to predict. What technologies are teams using? Is your demand forecasting process evolving with the times? How does your process stack up against others? Are you satisfied with your level of forecast accuracy? How accurate are typical demand forecasts?
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