Agility and resilience
Economic, regulatory and technological environments are evolving rapidly. Supply Chain functions must develop agile processes to adapt quickly to change and ensure organisational resilience. The ability to anticipate and manage supply chain disruptions is crucial to maintain operational continuity and support the company’s strategic objectives. The COVID-19 pandemic highlighted the need for agility and resilience.
Many of Althéa’s clients have had to rapidly adjust their supply chains to cope with sudden disruptions.
Around 67% of Supply Chain departments are seeking to improve their resilience to disruptions.
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Digitalisation and technological innovation
Digitalisation and technological innovation, including automation, artificial intelligence (AI) and machine learning, are central to the transformation. These technologies optimise processes, improve operational efficiency and provide predictive analytics for better decision-making. The adoption of AI-powered supply chain management platforms has enabled some of our clients to reduce lead times and improve demand forecast accuracy.
By 2027, 70% of supply chain processes will be digitalised.
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Sustainability and corporate social responsibility (CSR)
Integrating environmental, social and governance (ESG) criteria into supply chain strategies has become a priority. Supply Chain departments must comply with sustainability regulations and use these criteria to improve the company’s overall performance. A major retail company, an Althéa client for several years, implemented a CO₂ emissions reduction programme across its supply chain, strengthening its brand image and meeting consumer expectations.
Around 73% of Supply Chain departments are committed to decarbonization initiatives.
Risk management
Risk management is crucial for Supply Chain departments. This includes diversifying sourcing strategies, supplier risk management and business continuity plans to ensure resilience.
A long-standing Althéa client in the technology sector diversified its suppliers to reduce dependence on a single country and mitigate geopolitical risks.
Approximately 78% of Supply Chain departments identify risk management as a key priority.
Collaboration and strategic partnerships
Supply Chain departments must develop strategic partnerships with suppliers and other stakeholders to enhance collaboration and innovation. This helps create more robust and responsive supply chains. One client, an automotive company, worked with its suppliers to develop more sustainable new materials and reduce production costs.
Around 85% of Supply Chain departments consider strategic collaboration a key success factor.
Our Beliefs
AI and digitalisation as Transformation Enablers
Artificial intelligence and digitalisation will play a central role in transforming Supply Chain departments. AI helps optimise processes, improve forecast accuracy and manage risks proactively.
Commitment to sustainability and corporate social responsibility
Integrating ESG criteria into supply chain strategies is both a regulatory requirement and a strategic opportunity.
Strategic collaboration as a key success factor
Strategic collaboration with suppliers and stakeholders is essential to create robust and responsive supply chains.
Key figures
of supply chain processes will be digitalized by 2027.
This figure highlights the growing importance of digitalization for Supply Chain functions. Digital transformation is essential to improve efficiency, forecast accuracy, and responsiveness to market changes.
of Supply Chain functions are committed to decarbonization initiatives.
Sustainability and corporate social responsibility have become key priorities. This strong commitment to carbon footprint reduction initiatives reflects companies’ willingness to meet environmental and societal expectations while improving overall performance.
of organizations are adopting AI in their supply chain processes.
This high adoption rate shows that AI has become an essential technology for improving inventory management, demand forecasting, and supply chain optimization.
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Your Frequently Asked Questions about supply chain digitalisation
What are the advantages of the cloud for the supply chain?
The digital transformation of the supply chain largely involves adopting cloud computing, which delivers major benefits for the logistics chain. This technology enables better collaboration between the various stakeholders, from the supplier to the end customer, by facilitating real-time information sharing. The cloud offers unmatched flexibility in data storage and processing, enabling companies to quickly scale capacity to meet their needs. But that’s not all!
Cloud solutions significantly reduce infrastructure costs while improving operational agility. Access to data from anywhere on the network supports faster, more effective decision-making. In addition, the cloud makes it easier to integrate new technologies such as artificial intelligence and machine learning, which are essential for logistics optimisation and predictive analytics.
What are the main types of supply chain digitalization software (WMS, TMS, ERP, etc.)?
Within the digital supply chain ecosystem, several key software solutions stand out.
- WMS (Warehouse Management System) manages warehouse operations, optimising storage and order picking.
- TMS (Transport Management System) ensures transport planning and tracking, reducing logistics costs.
- ERP (Enterprise Resource Planning) forms the backbone of the information system, integrating all management processes.
In addition to these systems, there are business intelligence solutions for data analysis, supplier relationship management (SRM) tools and collaborative platforms. This software infrastructure enables end-to-end digitalisation of the supply chain, improving visibility and traceability from end to end.
What are the costs involved in digitally optimizing a supply chain?
The digital transformation of supply chains represents a significant investment, broken down into several cost items.
Costs include software acquisition and maintenance, technology infrastructure (cloud, networks, IoT), team training and change management support.
However, the return on investment is generally rapid thanks to productivity gains, fewer errors and inventory optimisation. Benefits include lower operating costs, improved customer satisfaction and reduced environmental impact. Companies can also expect an average ROI of 10% to 15% on their digitalisation investments!
How can full product traceability be ensured after supply chain digitalization?
End-to-end traceability relies on integrating several complementary technologies.
- Blockchain ensures the authenticity and immutability of data throughout the value chain.
- IoT sensors collect real-time information on the condition and location of products.
- Cloud solutions enable instant data sharing among all stakeholders.
- QR codes and RFID tags provide unique product identification.
This technology infrastructure makes it possible to track every stage of the product lifecycle, from supplier to end customer, thereby improving service quality and consumer trust.
What types of sensors can be used to track goods?
As mentioned above, the Internet of Things (IoT) is revolutionising goods tracking thanks to different types of smart sensors.
RFID and NFC sensors enable product identification and tracking throughout the logistics chain. Temperature and humidity sensors are crucial for the cold chain and sensitive products. Accelerometers detect shocks during transport. Finally, GPS provides real-time geolocation of vehicles and containers.
These connected devices feed information systems with accurate data, enabling predictive maintenance and proactive risk management.
How can companies move towards a predictive supply chain?
The shift to a predictive supply chain is driven by artificial intelligence and machine learning. These technologies analyse historical data, market trends and real-time information to anticipate needs and risks.
- Predictive algorithms optimise inventory management, forecast required maintenance and adjust production plans.
- Machine learning continuously refines forecasts through Big Data processing.
This predictive approach reduces stockouts, optimises logistics costs and significantly improves customer satisfaction while ensuring greater resilience to market uncertainties. That is also what supply chain digitalisation is about.
