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The Forecasting Accuracy Bugaboo

Logistics Viewpoints

When it comes to running a company, when things break down executives have traditionally said “we need to improve our forecasting!” Would better forecasting accuracy be a good thing? Unfortunately, most companies cannot, and will never be able to, consistently rely on highly accurate forecasts. Absolutely!

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Demand Forecasting in the new normal

SYSPRO Smarter ERP

Manufactures are continuously faced with the challenge of forecasting how much (raw material) to purchase and how much (finished goods) to produce. The misalignment can result in multitude of negative consequences such as high warehousing costs, cash flow difficulties, loss of sales, which can lead to permanent loss of loyal customers.

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What are Digital Twins and How Can They Drive Warehouse Efficiency?

Logistics Viewpoints

The concept of digital twins has emerged as a powerful foundational tool to drive improvements in warehouse productivity and efficiency. In the warehouse context, a digital twin can be created to represent the physical layout, inventory, equipment, and workflows of a warehouse. Physical change (i.e.,

Modeling 238
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Best AI Tools for Supply Chain and Logistics: The Ultimate Guide for 2024

ThroughPut

Exploring the world of AI tools for supply chain and logistics can be quite overwhelming. That’s why we put together this guide – to help you get a glimpse of the best AI tools for supply chain and logistics, how to implement these tools, what to take care of and more. Best AI Tools for Supply Chain and Logistics 1.

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Demand forecasting challenges – how to deal with fluctuating demand

EazyStock

Fluctuating demand and supply volatility have made accurate demand forecasting even more challenging for two reasons: Using last year’s sales data as a base for forecasts is a ‘no go’, as demand fluctuations due to the pandemic skew the data. Consequences of poor demand forecasting. Use appropriate historical data.

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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%.

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Logistics Software: How to Make Handling Peak Times Easy

Logistics Viewpoints

But what really gets the supply chain and warehouse managers in a sweat are extremely intense sales days or weeks such as the well-known Black Friday or Cyber Monday. Imagine a warehouse operating around the clock, 360 days a year. The data can be used to make a precise forecast. Balancing the workload – the real challenge.