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Supply Chain AI Strategy: Navigating Apparel Industry Complexities

Logility

Navigating the $5 trillion North American apparel market requires precision, especially when dealing with the intricate complexities of forecasting and inventory management. This approach enhances forecast accuracy and aligns company strategies more closely with real-time market conditions.

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Sales, Inventory & Operations Planning: It’s About Time (eBook)

USC Consulting Group

The goal is to help companies get a better, more clear look at their operations and create better-informed strategy decisions, allowing them to deliver what clients need in the most profitable way. It’s a useful process, but we’ve found a lot of our clients do not include inventory as a strategic tool in their S&OP process.

eBook 52
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Excess Inventory: Causes, Consequences and How to Avoid it?

SCMDOJO

In today’s fast-paced business world, excess inventory can be a major hindrance to growth and profitability. Whether it’s unsold products taking up valuable storage space or excess & obsolete items tying up capital, having excessive inventory can lead to increased costs and decreased cash flow.

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Demand Shaping Strategies for a More Profitable Supply Chain

ToolsGroup

Demand shaping is a supply chain strategy that utilizes tactics such as price and promotion incentives, product substitutions and cost modifications to entice customers to purchase specific items. All of these activities speak directly to the benefits of demand shaping which include increased revenue, increased exposure and reduced inventory.

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Success Strategies for Demand Forecasting in Supply Chain

ToolsGroup

Inventory mixes and service levels get out of balance across the network—and out of line with business objectives. Download our ebook: Demand Forecast Is Why You Need to Adopt a Service-Driven Supply Chain Strategy. Download our free guide: 5 Critical Demand Forecasting Strategies You Can’t Afford to Ignore.

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How AI in Supply Chain Brings Value to Your Business

Logility

But it is setting the foundation for a new paradigm that could cut 70% of weekly planning time, 15%–30% fewer forecast errors, and impressively improved inventory outcomes. AI-First Demand Planning eBook Learn “How Human-Machine Collaboration Cuts Costs, Error, and Implementation Time” in this free eBook.

Modeling 191
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ChatGPT and the Revolution of AI-First Forecasting

Logility

We get a transformative shift that allows companies to plan demand and inventory at the sheer speed of the market. Companies are now equipped to plan demand and inventory with unparalleled speed, aligning their strategies more closely with real-time market demands.