Supply chain analytics: A playbook for visibility wins

Even for the most digitally mature organizations, supply chain visibility can be an elusive goal.

Despite years of investment in supply chain transformation initiatives, upgraded systems, and data infrastructure, many businesses still operate in silos that obscure visibility and prevent an overview of their entire supply chain, along with all its unique twists and turns.

Without this visibility, teams remain trapped in an endless cycle of reactivity, unable to understand – or improve – how their operations are running. Moreover, Enterprise AI lacks the context it needs to transform the supply chain: from slowdowns, to stockouts, to supplier relationships, and the rest.

The right supply chain metrics and monitoring techniques can pull back the curtain on supply chain performance, shining a light on bottlenecks and inefficiencies, while giving AI the critical input it needs to deliver on its promise to reinvent operations.

• Explore the 5 metrics every supply chain professional should track

Keep reading this playbook as we share a practical approach for accurate supply chain monitoring, and turning supply chain metrics into visibility wins that can actively boost resilience and agility.

Opaque operations: Why is supply chain visibility so hard to achieve?

Firstly, it’s worth investigating the factors that make supply chain visibility such a moving target. Here are some of the biggest obstacles to a clear view:

Limited real-time data

To make informed and proactive decisions about supply chain management, enterprises need access to the right data at the right time. But many outdated systems still rely on batch processing or manual reporting, which makes real time monitoring impossible.

A patchwork of systems

ERP platforms, individual supplier portals, warehouse and order management systems... we could go on. These systems are often improperly integrated so they communicate poorly – resulting in data siloes that impair supply chain visibility.

External dependencies

With a multi-tiered supplier network to navigate, along with a wide variety of partners like freight brokers and logistics providers, it’s very challenging to accurately track supply chain performance, or the true impact of any disruptions.

No standardized metrics

Even if every team in an enterprise is aligned on metrics (which is doubtful), any supply chain partners are likely to have their own measurements and definitions. Standardizing those metrics is central to operational efficiency.

Organizational silos

Sharing real-time information with other teams can feel risky in some supply chain environments, or might even be discouraged. These organizational silos wreak havoc on supply chain efficiency, and eliminate opportunities for collaboration and optimization.

Visibility wins for a clearer view of your supply chain operation

Complex supply chains are multifaceted and cross-functional by nature. Even with the best tools and tactics available, achieving complete supply chain visibility is no straightforward task. That said, there are several targeted strategies which can help enterprises to gain a clearer picture of their supply chain operations, so organizations can be more proactive and agile.

Finding (and learning from) bottlenecks

Bottlenecks may slow the supply chain process, but they’re a useful symptom – usually highlighting deeper structural issues like disconnected systems, misaligned processes, and overloaded departments.

Keeping tabs on supply chain metrics like cycle time, order lead time, and throughput variance will help identify the areas where delays regularly occur.

Unifying disparate data

It sounds obvious, but there are countless sources of data in the supply chain – not just different vendors and suppliers, but also from different tools, systems, and teams across the entrie value chain.

Unifying this data is a complex task, but with innovative technology like Process Intelligence, teams can integrate their transactional data and business context with external sources – like supplier emails, weather data, and geopolitical news – to achieve end-to-end visibility of their supply chain operations. This gives organizations the visibility needed to take action to make these processes work – and AI the context it needs to create ROI.

Proactive (and continuous) monitoring

One of the best strategies for reducing the impact of disruption is proactive supply chain monitoring, whether to prevent cybersecurity issues, raw materials shortages, or something more left field. That means isolating the issue before it can affect a single customer order.

What does this look like in practice? Businesses can set up real-time alerts to preemptively flag any causes for concern. For example, if forecasting against predictive thresholds suggests that supplier lead times will exceed the usual expected variance.

Paired with intelligent automation, continuous monitoring techniques like this give organizations more wiggle room to find alternative suppliers or other solutions to minimize disruption.

• Watch how Campari Group drives AI innovation to tackle blocked sales orders

Making metrics actionable: collaboration is key

Accurate supply chain monitoring is one thing, but interpreting metrics to fully grasp their meaning and turn them into actionable steps is another.

The key lies in collaboration. When individual stakeholders share a single view on which metrics matter most, what “good” supply chain performance looks like, and agree on a set of shared KPIs, there’s joint accountability and clarity on how to move forward.

With proper stakeholder alignment, teams share an understanding of which metrics to monitor, who owns the process for each, and what the signals for success (or falling below industry standards) look like. An intuitive supply chain dashboard can make a huge difference when it comes to getting all parties on the same page – contextualizing metrics, visualizing trends with analytics, and exposing the root cause of fluctuations in performance. This is also the common language teams need to build tailored composable solutions that continuously improve, automate, and orchestrate supply chain operations.

Ultimately, this collaboration can transform supply chain metrics from diagnostic signposts to constructive, strategic insights that can help future-proof an enterprise.

Powering the autonomous supply chain with end-to-end visibility

The Celonis Platform maximizes supply chain visibility, even for enterprises dealing with global, multi-layered supply chains in highly-regulated industries, and provides them with the ability to take decisive action.

Celonis combines process, artificial, system, and decision intelligence, then augments it with the unique operational context of that business, to create a digital twin that updates in real time.

This gives enterprises an unprecedented level of transparency, not only showing how each micro-process making up the supply chain runs, but connecting them to reveal the whole, eradicating data and organizational silos. With these insights, teams can give Enterprise AI what it needs to fulfil its generational promise. Steering, adapting, changing continuously in response to challenges, pressures, and business priorities.

With a sophisticated dashboard that unifies disparate data for easy consumption and supports stakeholder alignment and action, Celonis is the solution enterprises need to transform business-critical supply chain operations. Finally, a single source of truth to inform effective action on supply chain improvement and enable autonomous operations.

Want to learn more about the Celonis Platform, as well as what it could reveal and improve when it comes to your supply chain? Get in touch to speak to an expert on the Celonis team, or watch our demo to see what Celonis can do for your supply chain.