Supply Chain & Warehouse Logistics Blog

AI vs. ML: Differences and applications in business

Artificial intelligence (AI) and machine learning (ML) work together to create intelligent machines capable of performing tasks like humans.

B2B2C model: Advantages and examples

In B2B2C (business-to-business-to-consumer), companies reach their customers through a second company or intermediary with which they have an agreement or partnership.

VUCA and its impact on businesses

VUCA refers to environments characterised by volatility, uncertainty, complexity and ambiguity in specific contexts that companies must navigate.

Electric vehicles in logistics and freight transport

Discover how electric vehicles are improving sustainability and efficiency in urban and last-mile delivery. Explore their benefits, the logistical challenges they face and examples.

GenAI and its potential in the supply chain

GenAI (generative artificial intelligence) is a field of AI that develops algorithms and models capable of creating new content, such as images, texts or routes.

Warehouse stock: Classification and control

Warehouse stock, commonly known as warehouse inventory, refers to the goods a company stores physically in a facility. It can consist of raw materials or finished goods.

Data science in supply chain and applications

Data science in the supply chain leverages information from warehouse management systems, vehicle tracking and geolocation to create a more efficient business ecosystem.

FMCG industry: How to optimise warehouse management

The FMCG industry handles fast-selling products that are low-priced and consumed on a large scale. Due to their high demand, these goods have a short shelf life.