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DAT IQ: The Metrics that Matter with Samuel Parker

The Logistics of Logistics

Samuel Parker and Joe Lynch discuss DAT iQ: the metrics that matter. Key Takeaways: DAT iQ: The Metrics that Matter In the podcast interview, Samuel Parker gave a freight market overview based on DAT’s database of $150 billion in annual market transactions.

Metrics 210
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Demand Planning Software – Top 3 Demand Forecasting Mistakes to Avoid

Logility

Top 3 Demand Forecasting Mistakes —How To Avoid Them with Demand planning software Demand forecasting is a critical facet of successful business operations, acting as the helm guiding companies through the rocks hiding beneath the water of market demands. What is Demand Forecasting?

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What Does Good Look Like S&OP?

Supply Chain Shaman

Clear operating strategy and definition of supply chain excellence across plan, source, make and deliver. A shift from functional metrics to a balanced scorecard. I like the use of growth, margin, inventory turns, Return on Invested Capital, customer service and ESG metrics. Improved Forecast Value Added (FVA).

S&OP 363
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Building a Business Case for Improved Demand Forecasting

ToolsGroup

I’ve always maintained that improving demand forecast accuracy, as helpful as it can be, shouldn’t be the end goal itself, but simply a means to the end. A recent report from Gartner agrees, focusing specifically on the challenge of building a better business case for improved forecast accuracy.

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Supply Chain Roundtable Series: Getting Demand Forecasting Right 

Unleashed

Demand forecasting has gained increasing importance over the last few years. We met with five supply chain experts to discuss how crucial demand forecasting is for mitigating risk, and what businesses can do to improve forecast accuracy. Our experts explain that best-practice demand planning begins with a top-down forecast.

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Optimize Demand Planning with AI: Plan Product Mix & Sales Forecasts Effectively

ThroughPut

Food & Beverage giants like Kellog’s reported on the state of breakdown in supply chain management. Demand planning and forecasting in the traditional sense relied heavily on a combination of limited and biased data and gut instinct. The unavailability of raw materials and changing consumer patterns heavily impacted demand.

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Thriving In ‘The New Normal’ With 5 Demand Forecasting Models

ThroughPut

Step Up Demand Planning Efforts with a Robust Forecasting Model . Demand forecasting can be a game changer in today’s volatile environment. Infact, according to McKinsey , applying AI-driven demand forecasting to supply chain management can cut down errors by 20-50% and this helps reduce lost sales by 65%.