Axisto - Supply Chain

Resilient Supply Chain – robust and agile

High OTIF. Balance between efficiency and vulnerability. Sustainable.

World-class supply chain management combines resilience, agility and lean discipline. It creates a network that flexes with demand, withstands disruptions and consistently delivers superior OTIF performance at competitive cost. A Smart Supply Chain design combines waste elimination with responsiveness and reliability, enabling it to handle volatility without relying too heavily on buffers. A Smart Supply Chain strikes the balance between efficiency and vulnerability.

Why now?


Volatility is the norm in today’s complex, uncertain and fast-changing world. Organisations that steer only on service, cost and quality discover too late that managing for resilience, agility and sustainability has become a core capability.

Organisations that demonstrably outperform invest specifically in:

  • End-to-end visibility (actionable insights)
  • High-quality data & master data (a single version of the truth)
  • Scenario-driven decision-making as the standard way of steering
  • Intelligent automation to enable these three elements

What is a “Smart Supply Chain”?

A smart supply chain is an integrated approach in which people, processes, data, organisation and technology come together to:

  • reliably deliver customer promises, even with variation
  • make decisions faster and more consistently: anticipate → interpret/predict → decide → execute
  • steer the chain on OTIF, lead time, cost-to-serve and resilience

Collaboration with suppliers and logistics partners is part of the operating model.

What it delivers in practice

  • Predictable service: higher OTIF with stable delivery promises, even with variation
  • Faster, tighter flow: shorter end-to-end lead time, less rework and fewer disruptions
  • Lower and controllable cost-to-serve: better margin per segment + structurally lower working capital, balanced with vulnerability
  • Execution resilience: faster recovery from disruptions through scenarios, a control tower and clear decision rights

What are the design principles and enablers?

These benefits come from design choices in strategy, governance and flow, with data & technology used as accelerators.

1. Strategy & trade-offs

Define a sharp, testable supply chain strategy and be explicit about your promise (speed, reliability, cost, sustainability). Design network, inventory and service policies to deliver that promise. Add resilience metrics alongside traditional KPIs to balance efficiency and vulnerability.

2. Postponement

Configure for late differentiation (postponement) and serve high-mix, volatile demand with fewer buffers: better delivery performance and lower cost-to-serve.

3. Flow first

First design a robust order-to-cash for flow with minimal handovers; then automate what truly reduces changeovers, errors and decision time (instead of digitising existing complexity), in line with Axisto’s principle: data & digital as an accelerator, not an end in itself.

4. Decision rights

Design for fast decision-making: multidisciplinary teams, no silos. Agility requires governance that shifts decisions from a “meeting cycle” to a “daily rhythm”: clear mandates, transparent data and shared goals.

5. Scenarios and stress tests

Embed scenarios and stress tests as part of governance. Make scenario planning and periodic stress tests part of the operating rhythm, so vulnerabilities remain visible and mitigations stay current.

6. Partner integration

Integrate partners and go beyond contracts. The largest system costs often sit between parties. Share plans, constraints and risks with suppliers, logistics partners and key customers to structurally reduce lead time, variability and cost.

7. Control-tower orchestration

Provide end-to-end visibility and control-tower capability. A control tower is not a dashboard, but a capability that combines people, processes, data, organisation and technology to improve visibility, control and decision-making—and orchestrate response across planning, procurement, production and logistics.

8. Performance management system

Align the performance management system with the strategy and steer on outcome KPIs (OTIF, lead time, forecast accuracy, inventory profile, CO₂e) with real-time signalling, fixed escalation paths and clear accountability.

9. Digital/AI accelerators

Use digital, analytics, GenAI and Agentic AI as core accelerators. The fastest leaps come from better decisions: forecasting, inventory positioning, planning/execution and risk sensing. Digital twins and advanced analytics help test scenarios and steer consistently.

Agentic AI adds a next step: AI agents that sense signals, prepare decisions and (within guardrails) execute actions to achieve goals—for example proposing reallocations, initiating supplier follow-ups, preparing trade-offs or triggering an escalation workflow.

How does Axisto help?

Axisto helps organisations make supply chain performance reliable and controllable: higher OTIF, lower cost-to-serve and healthy working capital—through resilience by design.
We integrate strategy, operating model, processes and data/tech with execution across the chain. We steer for predictability, governance that works in the daily rhythm, and technology as an accelerator (control tower, analytics, GenAI/Agentic AI).

Our approach

Strategic design & chain choices (principles 1, 2, 6)

We translate vision into testable choices in network, segmentation, service/inventory policy and partner agreements: what do we do, what do we not do, and which trade-offs do we steer (OTIF, cost-to-serve, working capital, resilience, CO₂e)?

Governance that works in the daily rhythm (principles 4, 5, 8)

We build governance with clear decision rights, fixed cadences (IBP/S&OP + execution cadence), scenarios/stress tests and performance management with clear KPIs, real-time signalling and escalations.


Flow & execution (principles 3, 7)

We design end-to-end flow and control points and build control-tower capability for signal → impact → orchestration across planning, procurement, production and logistics.

Data, analytics & (Agentic) AI as an accelerator (principle 9 + supporting)

We improve data quality/master data and deploy digital twins, advanced analytics, GenAI and Agentic AI to see faster, decide better and execute more consistently (within guardrails)—with a focus on adoption and measurable value.

Together with your teams, from analysis to sustainment

We work closely together: jointly analyse, prioritise, design, implement and embed—so it is not only “designed”, but delivers measurable results and ownership.

What are our typical focus areas?

  • smart supply chain / supply chain excellence
  • improve OTIF / delivery reliability
  • reduce lead time / end-to-end lead time
  • inventory optimisation / inventory health / working capital
  • S&OP / IBP governance / execution cadence
  • supply chain resilience / risk management / scenario planning
  • control tower / end-to-end visibility / orchestration
  • digital twin / advanced analytics / GenAI / Agentic AI in supply chain

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