solutions demand 
Logility
SEPTEMBER 7, 2023
How AI powered demand planning solutions revolutionize the role of demand planners In today’s fast-paced and competitive business landscape, organizations are constantly seeking ways to optimize their operations and improve their supply chain.
ToolsGroup
FEBRUARY 28, 2023
BOSTON — February 28, 2023 — ToolsGroup , a global leader in retail and supply chain planning and optimization software, has announced the latest version of its Service Optimizer 99+ (SO99+) software, making major advancements in its forecasting and demand sensing capabilities.
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Herlitz Inventory Management
JANUARY 18, 2023
What is Demand Forecasting? Demand forecasting is a vital activity for wholesale and retail purchasing teams. It helps ensure they will have adequate inventory available to meet future demand and avoid stockouts. Demand forecasting is a process that helps retailers and wholesalers predict future consumer demand.
DynaSys
MAY 12, 2020
I have just completed a new demand planning project. Looking at where they started and how they implemented the solution to make positive changes really illustrates all the growth they achieved. Now with their Demand Planning solution, three demand planners can calculate and review a new forecast in minutes.
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As you explore analytics solutions for your application, see why self-service analytics— and how they're delivered— can prove critical to the adoption and stickiness of your application. You’ll learn: The reasons why end users demand customizable self-service analytics. So, give your users the flexibility to truly explore data.
ThroughPut
MAY 12, 2023
According to Toby Brzoznowski, the Chief Strategy Officer at LLamasoft, a rough rule of thumb is that a 1% Top Five Features to Look for in a Robust Demand Planning Solutionforecas t improvement leads to a 2.5% This is a big deal for any organization and of course, a sign of a good demand planning practice!
ThroughPut
APRIL 20, 2023
Chief Supply Chain Officers (CSCOs) today have to deal with a new set of challenges including supplier unpredictability, ambiguous and missing historical data, inventory disruptions, supply and demand imbalances, to name a few. How can demand planning match the pace of market dynamics?
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Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
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Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.
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A job that was once as simple as moving goods around now involves managing countless vendors, juggling demanding customer expectations, and providing an all-around seamless experience.
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Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".
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Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.
Speaker: Fernando Penteado, CPSM - Supply Chain and Logistics Executive, Global Markets Expert, and International Speaker
Now, as a variety of disruptive events cause supply chain challenges, companies are contemplating bold moves to keep business moving, including moving sourcing and manufacturing closer to home markets and maintaining a larger reserve stock to help manage the fluctuations in supply and demand.
Speaker: Dr. Ken Fordyce, Solutions Director, Supply Chain and Advanced Analytics at Arkieva
Risk management is defined as anticipating and responding to an event not yet part of the plan of record that requires a significant adjustment in your demand-supply network (DSN). Creating a successful plan demands a thoughtful combination of data science and computational models to anticipate structural weak points.
Advertiser: TadaNow
With the onset of COVID-19 in 2020, along with demand and supply fluctuations in the subsequent years, many manufacturers, including this one, saw significant stress on their global supply chains. Supply chain plays a crucial role for this Fortune 500 automotive manufacturer. This case study covers: Customer challenges.
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