Orchestration Intelligence: Key to Modern-Day Supply Chains?

Almost half (47%) of companies worldwide still rely on legacy enterprise resource planning (ERP) systems.

This dependence often deters businesses from adopting advanced supply chain solutions due to integration challenges, but digital transformation doesn’t have to mean disruption.

Here, Lucy Deus, SVP of Supply Chain Network Products at TraceLink, explains how orchestration intelligence allows businesses to bridge the gap between legacy infrastructure and next-gen supply chain capabilities – without costly overhauls.

What challenges do companies face in integrating modern supply chain solutions with legacy ERPs?

Integrating modern solutions with legacy ERPs can be complex, particularly when companies are dealing with siloed systems or outdated processes. Many of these systems were never built to handle the demands of today’s interconnected supply chains, so the challenge lies in ensuring seamless data integration between systems and managing the complexities of multiple partners.

Orchestration intelligence can help bridge this gap by digitally connecting disparate systems and enabling real-time, end-to-end visibility across the supply chain.

How does orchestration intelligence modernise supply chains without costly upgrades?

Orchestration intelligence works as a layer on top of existing systems, seamlessly integrating with ERPs, supply chain platforms and partner networks. So, instead of replacing these systems, it connects them, enabling real-time data sharing, predictive analytics and AI-driven decision-making. This provides several key benefits, including:

• End-to-end visibility – Companies can see inventory levels, shipments and demand fluctuations in real time.
• Predictive insights – AI-driven analytics help optimise inventory, forecast demand and mitigate disruptions.
• Automated decision-making – Orchestration intelligence can dynamically adjust schedules, reroute shipments and coordinate with suppliers to ensure on-time deliveries.

This approach not only extends the life of existing ERP systems but also significantly enhances supply chain agility.

Can you share an example of a company successfully using this approach?

One example is a medical device manufacturer that wanted to enhance their order-to-cash process, thereby improving order fulfilment rates, increasing customer success levels, decreasing manual labour and rekeying of data, and providing more flexibility for future growth initiatives.

They were faced with multiple internal systems, including ERP systems, sales platforms and warehouse systems, all of which needed to be linked together into a harmonised environment to exchange order, fulfilment, invoicing and other business transaction data with a diverse set of customers.

Their approach was to implement a digital orchestration intelligence platform that enabled integration to their external supply network while isolating their internal systems from this complexity by presenting the internal systems with a single integration point. In this way, it helped meet their business goals while minimising the impact and risk to their enterprise infrastructure.

When should businesses upgrade ERPs vs use orchestration intelligence?

That depends on the business’s objectives. ERP upgrades make sense when companies need to modernise internal processes and adopt new enterprise-wide capabilities.

However, for companies looking to modernise their supply chain without disrupting operations, orchestration intelligence is typically the only viable approach given the diversity of network relationships, enterprise systems of these network partners and the myriad formats these network partners use. It enables organisations to enhance visibility, optimise processes and coordinate supply chain activities across partners without the need for large-scale ERP replacements.

By taking this more incremental approach, businesses can avoid unnecessary disruptions while gaining the benefits of digital transformation.

What future trends will shape orchestration intelligence in supply chains?

We’re entering a new era where AI, automation and real-time data integration will redefine supply chain management. Some key trends to watch include:

• AI-driven supply chain autonomy – AI will move beyond predictive analytics to make real-time, automated decisions, adjusting supply chain processes dynamically.
• Hyperconnected supply networks – Companies will shift from linear supply chains to fully integrated digital ecosystems where every partner has real-time access to critical information.
• Proactive risk mitigation – Instead of reacting to disruptions, orchestration intelligence will use AI to anticipate risks, recommend alternative suppliers and reroute shipments before issues arise.

As these technologies evolve, orchestration intelligence will continue to enhance supply chain agility, resilience and responsiveness, helping businesses better navigate disruptions and optimise operations.