Supply Chain Visibility and Behavior – A Journey to Value Innovation

Supply Chain Visibility and Behavior – A Journey to Value Innovation

Companies strive to capture greater visibility and behavior analysis to enhance performance of their end-to-end supply chains.  Most are a few years into their journey of building and buying solutions to deliver the promise of true global real-time visibility.  The challenge lies in tying together disparate enterprise, ecosystem, and external data and applications, processes, functions, and assets.  The challenge is made more complex because it must be accomplished across multi-segmented global supply chains.  The solution market is fragmented, with most providing only a portion of what is required, while marketing that their solutions solve world hunger.  With the emergence of next generation real-time big data and advanced analytics behavior platforms, operators of global supply chains are now leaping forward to exploit the full benefits of their global supply chain visibility journey.

Working with customers on their global visibility initiatives, we find three phases in the journey of capability development: (1) Enable Global Flow and Behavior, (2) Mission Control Management, (3) Innovation Through Insights.

Phase 1:  Enable Global Flow and Behavior

The first step is to build a strong foundation for real-time global visibility and a continuous understanding of end to end supply network behavior.  The ability to understand, visualize and predict real-time end-to-end behavior of your goods at rest and in motion – from source to customer across all geographies, modes, and nodes in the value chain, is critical to future performance improvement.  To do this, organizations need to connect and fuse complex and messy enterprise, ecosystem and external business applications and data to “light-up” visibility of all behavior and movement across the supply chain.

Example capabilities in this phase of the journey include:

  • See real-time visibility/behavior of global shipments across all geographies and transportation modes.
  • Predict shipment departure/arrival times, record and analyze shipment milestones.
  • Measure global port, airport and customs turnaround times.
  • Analyze performance of carrier, lane and route volume.
  • Understand lead-time and cycle-time across the global network.

Phase 2: Mission Control Management

Sitting on top of the global visibility and behavior foundation is a “mission control” capability providing global enterprise situational awareness in real-time, along with functionality to proactively manage, monitor, and initiate actions to avoid supply chain disruptions or attack supply chain opportunities.  Business rules are configured, or system derived through machine learning, creating alerts to manage exceptions and resolve issues.  This enables collaboration and workflows across enterprise and ecosystem processes, and the ability to view forecasts of orders, product/SKU, lane, shipment, carrier volumes, revenue, and costs.

Example capabilities in this phase of the journey include:

  • Live dashboards to visualize, analyze and collaborate in real-time across customers, trading partners, and the customer enterprise.
  • Aggregated view by product, geography, customer, conveyance, trading partner or logistics service provider.
  • Graphical representation based on static or dynamic tolerance levels by mode, lane, category, product, channel, customer, dollar value, etc.
  • Magnitude of issue by time, volume, product type/family, customer classification, channel or value to indicate prioritization.
  • Live and dynamic drill downs to understand pertinent information on all moving and static inventory.
  • Filtering and search to find single order or parts within multiple orders, split orders, customer, channel, etc.

Phase 3: Innovation Through Insights

Beginning with the end in mind, insights greatly enhance the business rewards from the global supply chain visibility and behavior efforts in the previous phases.  This phase leverages the foundational capabilities to accelerate customer insight delivery and rapidly innovate for business value.  The Insight Foundry™ innovation process provides a mechanism for subject matter experts, data scientists and customers to collaborate on existing insights along with new insight development.   Insights are living data science-driven outcomes continuously delivered to customers to improve a discrete element of business performance.

Example insights being developed in this phase of the journey include:

  • Customer service (OTIF) – real-time performance monitoring and insight to improve customer experience metrics
  • Chargebacks – automatically detect and resolve potential orders at risk of resulting in a financial chargeback penalty
  • Capacity optimization – understand time and location of inventory flows to optimize production capacity, labor, and asset utilization
  • Inventory improvement – monitor behavior of inventory (Raw, WIP, Finished) at and in-between nodes
  • Planning/ATP – analyze real and planned lead/cycle-time variability to optimize order management
  • Order-to-Cash – tracking status and behavior of each driver of the O2C process

If you would like more information on the three-phase customer roadmap or an evaluation of business value and data readiness for this journey, please email, and one of our experts will follow-up with you.

Thank you!

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