Remove Demand Planning Remove Inventory Remove Shipping
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Blind Shipping: Solution for Inventory & Labor Challenges

GlobalTranz

Is your business facing rapid growth, supply chain disruptions and/or unpredictable customer demand? If so, optimizing your inventory management strategy can be a game-changer. Imagine shipping products directly from your supplier to your customer while maintaining the appearance that your business is the source.

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Supply Chain AI: 25 Current Use Cases (and a Handful of Future Ones)

Logistics Viewpoints

Demand planning engines have natural feedback loops that allow the forecast engine to learn. The forecast can be compared to what actually shipped or sold. Since ML began being used in demand forecasting in the early 2000s, ML has helped greatly increase the breadth and depth of forecasting.

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Decentralizing Supply Chains: How Regional Models Drive Resilience and Flexibility

Logistics Viewpoints

During the early phases of the COVID-19 pandemic, sectors such as automotive, electronics, and consumer goods experienced severe disruptions due to factory shutdowns and shipping constraints, primarily because of dependence on suppliers concentrated in Asia.

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Reinventing Supply Chains: Focus on Human Factors

Supply Chain Shaman

Commercial teams operate in a ship-to environment, but the supply chain teams operate in a transactional world based on a ship from model. Visibility of the translation layer of ship to converted to ship from is not existent. The key is to use channel data and decrease demand latency. The reason?

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Forget the Crystal Ball. Instead, Link Forecasting Directly to Production Planning.

BlueYonder

This transformation delivers many benefits, including increased sustainability, but it also creates demand-planning and production-planning challenges. To profitably serve demand, automakers need to get the product mix right across EVs, ICEs, and hybrids — but they also need to plan precisely by channel and region.

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Transforming Supply Chain Planning: Embrace the Shift

Bristlecone

AI/ML algorithms analyze data to provide actionable recommendations, such as increasing production capacity, reallocating inventory, reducing prices, or switching suppliers and 3PL service providers. Global CPG manufacturer identified 35%45% of its product portfolio for no-touch demand planning using machine learning (ML) forecasting.

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Black Friday is Over: What Went Wrong, What Went Right, and How to Win the Rest of the Holidays

ToolsGroup

Stockouts and Overstock Hurt Retailers The inventory imbalance was glaring this year: 33% of shoppers ** reported being unable to find the items they wanted due to stockouts. Focus on delivering convenience and urgency: Offer express shipping and curbside pickup. Promote items that resonated during Black Friday to amplify demand.