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From Industry Insights to Operational Intelligence

DIGITAL SUPPLY CHAIN TWIN

Reproduce the real, predict the future, optimize every decision.

REAL WORLD

Your physical supply chain

DIGITAL TWIN

Your virtual supply chain

Frequently Asked Questions

1. What does Scale Twin actually do?

Scale Twin is an AI-powered Digital Supply Chain Twin platform. It helps organisations simulate, predict and optimise supply chain decisions before they are made in the real world, combining operational data, AI and simulation to improve visibility and decision-making across the entire supply chain.

In short: most tools show you information. Scale Twin gives you a decision.

2. What is a Digital Twin, in simple terms?

A Digital Supply Chain Twin is a live virtual copy of your real supply chain. It mirrors your suppliers, inventory, production, logistics and customer demand, allowing your team to test decisions and understand their impact before taking action.

Think of it like a flight simulator for your supply chain. Pilots do not learn by crashing real planes , they test scenarios safely first. Scale Twin gives your team the same advantage.

3. Who is Scale Twin built for?

Scale Twin works for supply chains of different shapes and sizes, from large, complex global manufacturers to growing businesses. It has been deployed across Aerospace, Automotive, Luxury Retail, Energy and Food, and is now used by 100+ clients worldwide.

Scale Twin offers different packages with capabilities designed to address varying supply chain complexities and business needs. These options allow organisations to adopt the capabilities most relevant to their operations today, while a lighter TechStudio version is planned for release next year, designed to make Scale Twin more accessible to growing businesses.

4. What business problems does Scale Twin solve?

Scale Twin helps organisations address inventory excess and shortages, demand fluctuations, supplier disruptions, production bottlenecks, service level challenges, planning inefficiencies and supply chain visibility gaps by giving teams one connected picture and clear recommended actions.

5. Is Scale Twin a software platform or a consulting service?

It combines both. Scale Twin offers the scalability of software while providing expert supply chain support throughout deployment, adoption and optimisation. Clients benefit from technology and domain expertise together, which is what makes it different from a pure SaaS tool or a pure consulting engagement.

6. Does Scale Twin replace my ERP system?

No. Scale Twin sits on top of your existing ERP and planning systems. It complements platforms such as SAP, Oracle, Infor and Microsoft Dynamics by adding simulation, predictive intelligence and decision support, without replacing what you already have.

7. What are the four core capabilities of the platform?

Scale Twin’s platform runs as a continuous intelligence loop across four capabilities:

See, a live, real-time view of your entire supply chain
Predict, early detection of risks and weak signals before they escalate
Optimise, what-if scenario modelling and ranked decision recommendations
Deliver, execution tracking and closed-loop feedback that makes the next decision smarter

8. What kind of results have other companies seen?

Results vary by industry and starting point, but the pattern is consistent across 200+ deployments.

A Tier 1/2 Aerospace OEM reduced excess and obsolete inventory by 60% and improved on-time delivery from 80% to 92%. An Automotive Tier 1 engine manufacturer cut raw materials and WIP by 56% in under six months, releasing more than €20 million in additional cash. A global luxury jewellery brand increased total sales by 16% while improving return on capital employed by 30%.

9. How does Scale Twin integrate with existing systems?

Scale Twin’s integration layer connects to ERP, planning, warehouse, transportation and custom data sources through 50+ pre-built connectors. Most integrations can be completed within weeks rather than months, depending on system complexity.

10. How long does it take to see results?

Scale Twin’s implementation follows a proven 5-step journey: Reconnaissance (4 weeks), Scoped Pilot (12–14 weeks), Feedback & Customization (6 weeks), Full Deployment (4–6 weeks per site), and Continuous Support. This phased approach enables teams to validate value, refine the solution, and progressively scale deployment across the enterprise.

The Automotive case above achieved a 56% inventory reduction in under six months.

11. How does Scale Twin actually generate its recommendations?

Scale Twin continuously ingests data from across your supply chain and maintains a live Digital Twin model. An AI decision layer , built on machine learning, optimisation models and supply chain domain logic , simulates outcomes for different options and ranks them by expected impact on cost, risk, lead time and service level.

Every recommendation comes with a plain-language rationale so your team understands exactly why one option ranked above another.

12. Can Scale Twin predict supply chain disruptions?

Yes. Scale Twin identifies patterns, risks and operational signals that indicate future disruptions and shows you the likely downstream impact while you still have time to act. It helps organisations prepare mitigation strategies in advance rather than reacting after the fact.

13. What types of scenarios can be simulated?

Scale Twin can simulate a wide range of operational, planning, and disruption scenarios, including demand fluctuations, supplier delays, stock-level changes, inventory policy shifts, production changes, transportation disruptions, capacity constraints, network planning, bottlenecks, lead-time variations, risk detection, new product launches, and market growth scenarios. Teams can assess how these changes impact inventory, capacity, service levels, costs, and overall supply chain performance before making decisions. Pre-built templates are available for common operational and disruption scenarios, helping teams quickly model, evaluate, and compare different outcomes.

14. How does Scale Twin handle disagreement between teams?

Because the Digital Twin holds your entire supply chain in one connected model, a recommendation is evaluated against its full upstream and downstream impact , not optimised for one function at the expense of another.

Every team works from the same live picture and the same data. That shared context ends the “whose numbers are right” debate.

15. How does Scale Twin improve decision-making day-to-day?

Scale Twin enables teams to test multiple scenarios before making decisions. Instead of reacting to events after they occur, organisations can evaluate potential outcomes and choose the most effective course of action before committing resources or accepting risk.

16. Is Scale Twin a black-box AI solution?

No. Transparency is a core principle. Users can always understand the data sources, assumptions, algorithms and reasoning behind every recommendation and simulation.

Every model and algorithm in the platform is designed to be interpretable. Your team, your leadership and your auditors can always look inside and understand what is happening and why.

17. How does Scale Twin handle data quality issues?

Imperfect data is a reality in most organisations and it should not be a barrier to getting started.

Scale Twin is designed to work with the data quality you have today, while helping you improve it over time. During the Setup phase, our team maps your data environment, identifies gaps and inconsistencies and configures the Digital Twin to account for known data limitations. As the platform runs, data quality issues become visible and fixable, systematically rather than discovered mid-crisis.

In short: you do not need perfect data to start. You need the right platform to help you improve it.

18. What deployment options are available?

Scale Twin supports Cloud, Private Cloud and Hybrid deployment models depending on your infrastructure and compliance needs. Integration is handled through 50+ pre-built connectors for leading ERP, WMS and TMS platforms , meaning most connections are configuration rather than custom development.

Because these integration patterns have already been proven across 100+ client deployments, your team is building on integrations that already work.

19. How does Scale Twin support cybersecurity and data governance?

Scale Twin follows enterprise-grade cybersecurity practices, including data isolation per client, TLS 1.3 encryption in transit, AES-256 at rest, role-based access controls, SOC 2-certified infrastructure and data sovereignty alignment so your data stays governed by the laws of the region it belongs to.

This standard has been deployed and validated by Tier 1 and Tier 2 suppliers to Safran, Dassault Aviation, and Airbus, among the most security-demanding environments in the world.

20. Can AI make decisions automatically?

Scale Twin believes in combining AI and Human Intelligence. AI provides insights, predictions and ranked recommendations , but final decisions always remain under the control of your experienced business leaders and operational teams.

This is a deliberate design choice, not a limitation.

21. What is the actual business case for Scale Twin?

Scale Twin’s value shows up directly in cash, cost and service level. Across real deployments: inventory reductions of 23–56%, releasing tens of millions in cash; on-time-delivery improvements of 12+ percentage points; logistics cost reductions of 15–20% and revenue gains of up to 16%.

The business case is not “see more.” It is “decide better and capture the value already sitting inside your supply chain.”

22. How does Scale Twin deliver ROI?

Typical value drivers include reduced inventory costs, improved service levels, faster decision-making, better resource utilisation, reduced operational risk and improved supply chain resilience. ROI estimates are provided based on deployment scope during the Setup phase

23. What industries can benefit from Scale Twin?

Scale Twin supports organisations across Aerospace & Defence, Automotive & Mobility, Manufacturing, Industrial Operations, Energy & Utilities, Agri-food, FMCG & CPG, Luxury, Retail, Distribution, Logistics & Transportation, Healthcare & Pharmaceuticals, and other complex, data-intensive industries.

The platform is proven across sectors where supply chain and operational decisions have a direct impact on revenue, working capital, service levels, production performance, and resilience. Whether managing complex manufacturing networks, global distribution, critical inventory, or multi-tier supply chains, Scale Twin helps organisations turn operational data into predictive intelligence and better decisions.

24. How do we get started with Scale Twin?

The journey starts with a conversation!

Your first step is a discovery call with Scale Twin’s team to understand your supply chain structure, your current challenges and what success looks like for your organisation. From there, Scale Twin scopes a Setup phase tailored to your environment, connecting your existing systems, building your Digital Twin and establishing the baseline before moving to a live Pilot.

Most organisations are running their first live decisions within 3–4 months of starting.

25. How does Scale Twin support the future of Industry 5.0?

Industry 5.0 is about combining advanced technology with human expertise, not replacing one with the other.

Scale Twin embodies this approach by combining AI-powered Digital Twin technology with human experience, judgment and operational knowledge. The result: supply chains that are smarter, more resilient and more adaptive, where AI enhances human decisions rather than bypassing them.