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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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Get Started Using Machine Learning for New Product Forecasting

ToolsGroup

Adding to this already uphill battle, we don’t have trustworthy new product forecasting methods because forecasting new products with no sales data is very hit-and-miss. Machine learning (ML) provides an effective weapon for your new product forecasting arsenal. Why is new product forecasting important?

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Don’t Wait to Innovate: 3 Key Benefits of Causal Forecasting

Logility

That’s precisely what demand forecasting feels like for many businesses today. Enter causal forecasting. Unfortunately, many companies hesitate to use causal forecasting, thinking it’s too complicated or resource-hungry. What is Causal Forecasting? That’s where causal forecasting comes into play.

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Melitta: Collaborating for an Improved Forecasting Process

ToolsGroup

When the COVID-19 outbreak began, the company quickly transitioned into face mask production, supplying hospitals and healthcare facilities with millions of units of coffee-filter-shaped PPE. Melitta Sales Europe (MSE) embarked on an initiative to revamp existing planning and forecasting processes to increase efficiency and sustainability.

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Next-Gen AI-Based Demand Planning: Turn Your Insights Into Accuracy in 1 Day

Artificial intelligence designed for demand planning brings the following benefits: Immediate forecast error reduction of 15-40%: this drives optimal service & stock levels. This latest generation of artificial intelligence is being used by more than 60 companies already. This knowledge can then be used to drive internal discussions.

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Supply Chain Forecasting with AI

ThroughPut

In the ever-evolving landscape of global commerce, businesses face a significant challenge: the pain of inaccurate forecasts and the relentless pace of market conditions. The agitation stems from the financial loss and operational inefficiencies accompanying these inaccurate forecasts. AI in supply chain forecasting is a game-changer.

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4 Steps to Skyrocket Your Demand Forecasting Accuracy

Logility

In the intricate world of supply chain management, the accuracy of demand forecasting often serves as the cornerstone of business growth. Yet, despite its significance, demand forecasting continues to be a thorny issue for many businesses, particularly manufacturers. What is Demand Forecasting Accuracy? Let’s get started!

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The 4 Keys to Demand Planning in 2023 and Beyond

Speaker: Eva Dawkins - Senior Consultant, Supply Chain

We know technology improvements can improve supply chain operations and add significant value for companies even in turbulent times. However, to pull this off, companies must first establish crucial supporting people processes - in particular, planning processes.

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Automated Order Processing and Proactive Inventory Management

Speaker: Irina Rosca, Director of Supply Chain Operations, Helix

Companies should have seamless integration between order entry, inventory management, forecasting and supply planning models and purchase order status to sense risk, pull levers to mitigate potential risk, and communicate within and outside the organization. etc) or online promotions (company run or 3rd party).

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How Data Analytics Can Solve the Challenges Faced by SC Leaders in Discrete Manufacturing

Difficulty forecasting demand due to constant supply chain disruptions. Supply chain analytics creates new insights that help improve supply chain decision making from the improvement of front-line operations to strategic choices, such as the selection of the right supply chain operating models.” – McKinsey & Company.