Scale Twin turns real-time supply chain data into clear,
confident decisions, so your teams stop fire fighting and start leading.
The Real Problem
Your teams have dashboards. They have reports. They have alerts firing all day.
But when something goes wrong, a supplier delay, a demand spike, or a logistics breakdown nobody can agree on what to do next. By the time a decision gets made, the situation has already gotten worse.
That is the gap Scale Twin closes.
Our Feature
Hundreds of alerts come in daily. Most do not matter. The ones that do get buried. Teams end up reacting to the wrong things, or reacting too late.
Procurement, Planning, Manufacturing, and Logistics has a different view. No shared picture means no shared decision. Every cross-team call becomes a debate about whose numbers are right.
Getting the right people, with the right information, to make the right call, takes days. In a supply chain, days cost money.
The Shift
Most supply chains are still stuck in generation one or two. Scale Twin is built for what comes next.
Fixed processes, standard rules
Monthly planning cycles
Teams in silos, multiple views
Constant change, constant disruption
Decisions needed in hours
Teams in silos, fragmented data
A system that adapts in real time
Continuous, connected intelligence
One Shared Operating Model
Our Capabilities
Scale Twin empowers organizations with an intelligent Digital Twin that provides end-to-end visibility, predicts disruptions, optimizes decisions, and enables seamless execution across the supply chain.
Testimonials
Real experiences from businesses leveraging Scale Twin to simplify workflows, automate processes, and achieve measurable results.
Empowering businesses with AI-driven solutions that streamline operations, enhance productivity and accelerate digital transformation.
Digital Supply Chain Twin (DSCT), a Simplified Joint Stock Company (SAS) registered with R.C.S. Bobigny (Registration No. 990 065 864 | European ID: FR9301.990065864)
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"Scale Twin's digital twin gave us the end-to-end visibility we'd been chasing for years. Simulating our component flows before committing to a new plant footprint let us cut projected lead times by 22% and avoid nearly €4M in unnecessary safety stock. The precision of the modeling, down to the SKU and the node, is what set this apart from every other tool we'd tried."
Chief Supply Chain Officer, Automotive Tier-1 Manufacturer