Supply Planning

The European Union and the Mercosur bloc reached a political agreement on a wide-ranging trade and partnership deal. However, the deal has not yet entered into force. It remains subject to approval by the European Parliament, national parliaments in EU member states, and the legislatures of Mercosur countries.

Customers expect choice. Customers expect next (or even same day) delivery. But as a one-stop-shop for all of your customer’s needs, you are probably all too familiar with the pains of managing a massive long tail! The question is: what can you do about it? How can?

The global food supply chain is under immense pressure. Rising energy costs, ongoing geopolitical tensions, climate-related disruptions, and labour shortages are making supply chains more dynamic and unpredictable than ever...

In this article, we provide a comprehensive guide to what a supply plan is, how to manage it effectively, why it matters and the best practices for doing it correctly.

Even minor choices about stock ordering can subtly reduce profit margins in hectic work settings. This article examines how to make the best decisions possible, including when and how much to order and why those factors are more important than most people realise.

It is no secret that supply chain management is a complex undertaking. The reasons for this are many and varied, starting with the fact that many factors lie beyond our control. Who could have foreseen the 2020 pandemic? Or that, in March 2021, a Chinese container ship would block the Suez Canal for a week and disrupt global maritime traffic?

In this article, we take an in-depth look at the pros and cons of electronic shelf labels, review some cases of companies that are already using them and estimate the cost of implementation.

In this article, we share how food businesses can anticipate the peak moments and respond with speed, confidence and precision.

Choosing the right forecasting method can make a significant difference to your accuracy, efficiency and bottom line. While weekly forecasting might seem more precise at first glance, thanks to its higher number of data points, it often leads to more noise than insight