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Symbench
Operational Digital Twin · v2.0
Supply chain · seen as one system

Four files in.
A living operational
twin out.

Upload Purchase, Inventory, Production, and Shipments exports. Symbench derives your suppliers, plants, materials, routes, and customers into one connected, queryable network — deterministically, in minutes.

PURCHASE INVENTORY PRODUCTION SHIPMENTS CUSTOMER TWIN
The problem

The data exists.
The connections don't.

Operations teams already export the truth every week — from purchasing, inventory, production, and shipping systems. But traditional visibility programs demand clean enterprise master data, long modeling projects, and heavy integration before anyone sees a connected flow.

4 systems, 0 answers
Raw-material-to-customer traceability, movement routes, and operational handoffs stay invisible — trapped between exports that never meet.
DISCONNECTED VISIBILITY

Procurement, inventory, production, and fulfillment each tell a partial story.

WEAK TRACEABILITY

No line of sight from raw material to parent output to shipped product.

MASTER-DATA DEPENDENCE

Programs stall waiting on manually curated entity and material masters.

INVISIBLE MOVEMENT

Real routes and handoffs can't be seen directly from the files teams already have.

How it works

Master data, derived — not curated.

Four specialized stages turn raw exports into an explainable operational model. Every derivation is deterministic; humans review only when evidence is ambiguous.

STAGE 01

Librarian

CLASSIFY

Recognizes each upload as Purchase, Inventory, Production, or Shipments — no configuration, no templates.

STAGE 02

Mechanic

MAP

Maps raw customer headers to operational standard fields with deterministic, file-aware rules.

STAGE 03

Weaver

DERIVE

Persists transaction history, then derives entities, material crosswalks, bills, and route legs — the twin itself.

STAGE 04

Detective

RECONCILE

Raises findings only where evidence is ambiguous. High-confidence data materializes automatically.

The operational twin

Every entity real. Every edge a verb.

BUYMOVEMAKESHIPSELL
BUY BUY MOVE MAKE SHIP SELL SELL SUP-014 supplier SUP-021 INV-BLR inventory_location PLANT-03 production_facility WH-N2 warehouse DC-EAST distribution_center CUST all customers · collapsed SQL-backed · no phantom nodes · partial data renders truthfully, never faked
Traceability

One thread, from raw material to shelf.

Child / RM Item
RM-8841
→
SKU
SKU-2205
→
Parent Item SKU
PI-0067
→
FG SKU
FG-0067-A
→
UPC SKU
0 43000 11
trace workOrderId = WO-55102
├─ BUY   SUP-014 → INV-BLR · PO-99231 · received 2026-05-02 · qty 1,200
├─ MAKE  PLANT-03 · RM-8841 → PI-0067 · good 1,140 · scrap 60
├─ SHIP  PLANT-03 → DC-EAST · movement 2026-05-11
└─ SELL  DC-EAST → CUST-2210 · FG-0067-A as UPC 0 43000 11
⚠ coverage: inventory file spans 2026-04 → 2026-05 only — earlier legs unavailable

Trace by SKU, child item, work order, or UPC. Every segment carries evidence, dates, and honest coverage warnings — provenance is the product.

Natural-language assistant

Ask the twin anything.

"Top 5 suppliers by volume"
SELECT s.entity_name, SUM(p.qty) AS volume
FROM purchase_history p
JOIN entity_master s ON …
GROUP BY 1 ORDER BY 2 DESC LIMIT 5 · validated · workspace-scoped
SUP-014
SUP-021
SUP-090
SUP-007
SUP-112
▸

Read-only by construction. Single SELECT statements only — mutations, comments, and out-of-scope tables are rejected before execution.

▸

Workspace-scoped. Every query is wrapped in workspace CTEs. Eight operational tables exposed, nothing else.

▸

Self-correcting. A failed statement triggers one automatic model-corrected retry. Plain-English explanations on demand.

Why it wins

Deterministic. Explainable. Fast.

No master-data project

Entities, materials, bills, and routes are derived from transactions your team already exports. The six-month prerequisite disappears.

No black boxes

Deterministic mapping, evidence on every derivation, human review only for genuine ambiguity. Partial data renders truthfully — never faked.

No exotic infrastructure

PostgreSQL as the single system of record. No graph database, no vector store in the core path. Boring where it should be boring.

North-star metric
Time to First Connected Operational Twin
Minutesnot quarters
Symbench

See your operation
as one connected system.

Bring four exports to the first session. Leave with your own operational twin — live, traceable, and queryable in plain English.

Start a pilot workspace
team@symbench.com