Home / Supply Chain Intelligence

Supply Chain Intelligence

A data hub behind every quotation — a supplier, item and demand graph of the paper-machine supply chain, anchored to two decades of real ERP transaction records and field-served jobs.

The hub behind the quote

Sourcing used to run on memory, catalogs and luck. We run it on evidence: every record in the hub is anchored to real ERP transaction data and twenty years of field-served paper-machine jobs — import/export records included — screened and cross-validated against our own service history, governed into one coding system, segmented by material × process × category. Supplier-to-customer matches are verified against actual transactions, not algorithmic guesses.

9,299Supplier records
23 / 126Categories · sub-categories
6,052Verified supplier–customer links
126/126Sub-category coverage

Behind those numbers sits a working graph, reconciled against real transaction ledgers and updated as new jobs are closed: more than a million data records, tens of thousands of engineered components and a live picture of which mills are buying what, where. Every figure on this page is tied back to verifiable transaction records, not estimates.

Five-step pipeline

How raw global signals become sourcing intelligence you can act on.

01

Collect

Data collection from global public information — supplier, customer and demand signals plus import/export records — across East Asia, Southeast Asia, Eastern Europe, the Middle East, Central Asia and Latin America, then reconciled with our own transaction ledgers.
02

Govern

Entity dedupe and field standardization — each real-world entity counted once, one coding language across the hub.
03

Segment

Every record tagged along material × process × category — surfacing single-source gaps and cultivatable domestic-substitution directions.
04

Graph

Suppliers, categories, customers, export agents and port intelligence linked into one relational network with link-strength scoring.
05

Deliver

Interactive workbench and topical reports with bilingual switching, category drill-down and full-range data export.

What it means for your mill

48 h quotes with core technical parameters

Your urgent parts list goes into a living graph, not an inbox. Multi-vendor comparison comes back in 48 hours — with core technical parameters and the sourcing trail attached.

Single-source risk, flagged early

Material × process × category gaps are marked automatically. Where only one domestic source exists, you hear it from us before it becomes your stoppage.

Verified cost position

The same data sits behind our cost-comparison tables — the 13–62% savings on European OEM localization are measured, not marketed.

Closed-loop by design

Your drawings, specifications and pricing stay yours. Everything runs inside our own data hub; what leaves the building is conclusions.

Engineering × intelligence — one capability stack

The intelligence layer does not replace engineering — it feeds it. Data finds the part; engineers verify it.

Engineering

Compute before recommending

In-house flow calculation, roll deflection & strength FE verification, CFRP laminate design by classical lamination theory, nip and wet-end calculation — plus Sigma-Nip, 3D scanning, total station and vibration analysis on site.

Intelligence

Data before quoting

Multilingual entity extraction, dedupe and standardization, three-dimensional tagging, relational graph scoring and approval-governed enrichment — the pipeline that keeps every quotation current.

Knowledge

Published, not promised

Our Tech Insights column serializes the process engineering behind the parts — headboxes, shoe presses, coatings, dryers — so you can judge the engineers, not just the price list.

Open Tech Insights →

Send us the parts list. Watch the data work.

Machine model, drawings, photos or measurement data — scope and pricing back in 48 hours, with core technical parameters and the sourcing trail attached.

Request a quote