software trends

The 7 most important software trends
for an Efficient Supply Chain

The Expectations for Supply Chain Professionals in 2024

Breaking down data silos, strengthening sustainability in warehouses, and improving the customer experience along the supply chain are the focal points for logistics and industry in 2024.

The key to implementation lies in the digitization of the supply chain and real-time collaboration. With these seven trends, companies shape their supply chain intelligently and with minimized risks.

1. Collaborative Platforms Replace Silo Thinking

From isolation to connectivity: many companies employ rigid IT structures that have grown over the years. Due to a lack of interfaces, ERP solutions in isolated silos cannot communicate with other software systems. The weaknesses of ERP silos became evident, particularly during the COVID-19 crisis and disruptions in supply chains.

The use of multiple software systems introduces different error sources, slows down information flow, and entails high costs for maintenance, and updates. To address this, companies are increasingly breaking down silos and opting for collaborative network platforms that map supply chain processes across departments and companies.

This enables all stakeholders to coordinate more efficiently in a shorter time. IT solutions with REST APIs – highly flexible, open interfaces – facilitate collaborative work with seamless real-time data transfer. These REST APIs are universally accessible and can easily connect various applications.

2. Holistic View of Goods Flows Reduces Errors

Fragile international supply chains lead to geopolitical and economic challenges. Many companies are making their supply chains more flexible and robust by adopting a mix of global and regional value chains. Although production under re-shoring or near-shoring conditions may be somewhat more expensive, supply chains become significantly more stable.

To remain efficient, companies should continuously optimize their procurement processes and supply chain management. A strengthened network between companies, suppliers, buyers, manufacturers, and retailers becomes increasingly crucial for efficient collaboration. Industry leaders use software tools to securely exchange real-time data and support workflows for forecasting, production, delivery, inventory, and capacities. This improves data flow, allowing for a more holistic view of goods flows, leading to long-term reduction of errors, delays, and inefficiencies. This, in turn, lowers costs and enhances competitiveness.

3. Improved Responsiveness in the Supply Chain

Transparency and collaboration are central factors for a resilient supply chain. Decision-makers can quickly assess whether a specific area of the supply chain is affected by a current event and react faster. Due to the volatile economic situation, many companies seek flexibility in processes when searching for suitable IT software. Trustworthy collaboration among all stakeholders is crucial for better planning and scaling of the supply chain.

New communication platforms share all relevant data on one interface, consolidate agreements, and assist in making rapid decisions during dynamic demand fluctuations. Such AI-supported tools provide a clear competitive advantage over the traditional use of spreadsheets or emails. All participants in the supply chain have access to the data, based on their roles with different permission groups, improving the responsiveness of the supply chain.

4. Smart Asset Tracking Enhances Customer Experience

Track & Trace enables efficient operations and improves inventory management. Real-time tracking systems follow goods along the supply chain and can display this information at any desired time – on a small or large scale. Next-generation software solutions collect and centralize this real-time data, connecting information clusters comprehensively.

With smart tracking, companies receive current, decision-relevant information, allowing them to fully exploit the data potential and further optimize their supply chain. This increases operational efficiency, enriches the customer experience across all channels, and simplifies compliance and regulatory management. Improved order processing and traceability of goods allow companies to better tailor their products to individual customer needs.

5. Precise Inventory Monitoring with AI

The European Green Deal calls for the reduction of greenhouse gas emissions. To achieve this goal, product traceability is crucial. Companies rely on precise inventory monitoring along the entire supply chain, supported by AI-based software systems.

Through comprehensive data analysis, these systems identify patterns, deviations, and bottlenecks in the supply chain. This leads to more effective planning, minimizes unnecessary transports, and reduces the ecological footprint, as products reach consumers faster and more efficiently. Simultaneously, companies can better manage their inventory, reduce excess stocks, and efficiently utilize warehouse resources.

6. Improved WMS Handling with AI

AI-supported warehouse management systems enable companies to process and analyze large amounts of data in real-time. Automated decision-making processes ensure efficient use of resources such as warehouse space, personnel, and equipment.

For simplified WMS usage, integrating an AI chatbot into the overarching platform makes sense, supporting employees in their daily work. This type of solution works bidirectionally: the bot provides precise and fast answers to questions about products, processes, and system workflows without employees having to search for a long time. This increases efficiency in day-to-day operations, saving time. An AI-based WMS increases flexibility and makes warehouse management and logistics quickly scalable based on economic conditions, leading to improved long-term competitiveness and customer satisfaction.

7. Gen Z Workforce Expects Digital Workflows

By 2030, 76% of German workers will be digital natives. They expect their employers to have a high level of technology affinity. To attract this workforce and address the shortage of skilled workers in logistics, companies must proactively invest in a digital environment. In addition to robot-assisted processes and warehouse automation, logisticians can also rely on AI, IoT, speech recognition, and wearables. AI reads data, analyzes order processing, and tracks products in real-time. This significantly shortens process times, allowing employees to focus on other value-added and more interesting activities.


In 2024, industry leaders continue to automate their processes, achieving efficiency gains. They leverage the benefits of AI – from prescriptive analytics to collaborative robots to intelligent chatbots – to quickly and efficiently manage the supply chain from A to Z. With the right IT software solution, companies achieve an agile workflow in a complex supply chain, developing it in a risk-reduced, innovative, and intelligent manner. Ultimately, this also addresses the shortage of skilled workers.

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