ManuFactoryIQ
NATIVE ERP CONNECTORS • NO RIP-AND-REPLACE

Your ERP Stays the System of Record. It Just Stops Being the Last to Know.

Most plant software asks you to migrate. The project runs for eighteen months, finance loses its reporting history, and the shop floor ends up keying the same number into two systems anyway. Meanwhile the ERP still learns what happened on the line the next morning, from a spreadsheet.

ManuFactoryIQ connects to the ERP you already run, through its own native interface. Shop-floor actions are validated at the scanner, buffered locally, and posted as clean transactions your general ledger already understands — with a retry path for the ones it rejects.

0.0 s
ERP Posting Latency
100 %
Idempotent Replay Safety
6 ERP
Native Connectors
0 days
ERP Migration Required
END-TO-END TOPOLOGY

One Path From the Scanner to the Ledger

Four stages, one direction of travel, and an explicit route for the transactions your ERP refuses.

Integration architecture: shop-floor tablets, scanners, andon displays and PLC sensors feed the ManuFactoryIQ execution layer over OPC-UA and MQTT. Inside the layer a transaction is validated at scan time, written to an offline-first buffer, held in an idempotent retry queue and mapped into an ERP batch. Validated batches post to SAP, Microsoft Dynamics 365, Oracle Fusion Cloud, NetSuite, Odoo and Sage over each system's native protocol, and acknowledgements or rejections return on a separate channel, where a rejected posting is requeued rather than dropped. The same layer publishes governed datasets to Power BI, Tableau and Snowflake.
01 • Validate
A duplicate serial, a wrong revision or a skipped operation is refused at the station, while the part is still in the operator's hand.
02 • Buffer
Transactions land in a durable local store. A dropped Wi-Fi link or a closed browser tab does not lose a shift's work.
03 • Queue
Every posting carries an idempotency key. A retry after a timeout cannot produce a second goods movement.
04 • Map
Shop-floor events become the movement types, journals, holds and units of measure your ERP already expects.
CONNECTOR DETAIL

Six ERP Connectors, Each Speaking Its Own Native Interface

No generic middleware layer pretending every ERP is the same one. What is read, what is written, and which object it lands on — per system.

Unified data layer connecting enterprise systems
SAP CONNECTOR 01 • BAPI & ODATA NATIVE INTERFACE

1. SAP S/4HANA and ECC

SAP is where most plants have the widest gap between the ledger and the line. Confirmations are keyed late, goods movements are batched overnight, and by the time a variance is visible the order has already closed.

Planned and released orders are pulled through OData; confirmations and goods movements are written back through BAPI in the same shift they happen.

Movement types are handled explicitly rather than guessed: 101 for goods receipt from production, 261 for issue to an order, 322 for the transfer out of quality inspection into unrestricted stock.

Batch and serial numbers travel with the movement, so lot genealogy in SAP matches what the scanner actually recorded on the floor.

sync_alt

"The confirmation reaches SAP while the operator is still standing at the machine."

DATA FLOW
2-WAY
arrow_downward
READ FROM SAP
Planned & released production orders • BOM and routing • material master • storage-location stock
arrow_upward
WRITE TO SAP
Order confirmations • goods receipt 101 • goods issue 261 • QI transfer 322 • scrap postings
Objects touched
AUFK / AFKO order headers, MSEG material documents, MCHB batch stock
Transport: RFC / BAPI + OData v4
Central integration layer connecting plant systems
Microsoft Dynamics 365 CONNECTOR 02 • DATAVERSE LIVE CONNECTOR

2. Microsoft Dynamics 365

Business Central and Supply Chain Management are strong at planning and weak at knowing what the floor did between planning cycles. Purchase orders drift, and inventory holds live in someone's head until a shortage surfaces.

The connector syncs through Dataverse, so the same records your Power Platform apps read are the ones being updated — no shadow copy to reconcile later.

Purchase order changes move in both directions. A supplier confirmation recorded at the receiving dock updates the order, and a planner's reschedule reaches the dock before the truck does.

Inventory holds are enforced on both sides at once: material quarantined by Quality is unavailable in D365 in the same transaction, not after the nightly job.

task_alt

"A hold placed on the floor is a hold in Dynamics, in the same transaction."

DATA FLOW
2-WAY
arrow_downward
READ FROM D365
Released production orders • purchase orders • item and warehouse master • on-hand by location
arrow_upward
WRITE TO D365
Output and consumption journals • PO receipt updates • inventory blocking • scrap quantities
Objects touched
Production order tables, item ledger entries, inventory transaction records
Transport: Dataverse Web API
Data lineage across connected plant systems
Oracle NetSuite CONNECTOR 03 • ODATA & REST RECONCILED PIPELINE

3. Oracle Fusion Cloud

Fusion gives you a clean work definition and then asks the plant to report against it accurately. Output, consumption and scrap are the three numbers that drift apart, and the reconciliation lands on cost accounting at month end.

Operation completions, material transactions and scrap are posted as one reconciled set rather than three independent feeds that have to agree by coincidence.

Work definitions and work orders are read through REST; completions and transactions are written back against the same operation sequence, so a partial completion does not orphan its material issue.

Where cost accounting needs a resource transaction, it is derived from the machine run that actually happened, not from a standard rate applied after the fact.

fact_check

"Output, consumption and scrap arrive as one set, already reconciled."

DATA FLOW
2-WAY
arrow_downward
READ FROM FUSION
Work definitions • work orders and operations • item structures • on-hand quantities
arrow_upward
WRITE TO FUSION
Operation completions • material transactions • scrap and rework • resource usage
Objects touched
Work order operations, inventory transactions, cost accounting resource lines
Transport: REST + OData queries
Connected account and operations data
Oracle NetSuite CONNECTOR 04 • SUITETALK REST ZERO CODE REQUIRED

4. NetSuite and Infor LN

Mid-market high-mix shops run short orders with constant changeovers. The ERP is right about the order and wrong about the bin, because nobody has time to record a move that takes eight seconds to make.

SuiteTalk REST handles the write side, so assembly builds, fulfilments and inventory adjustments post without a custom SuiteScript to maintain.

Bin and lot detail is carried on every transaction. A part moved from the machine to the inspection rack is a real inventory move, not a note on a traveller.

Infor LN is served by the same mapping layer through its own REST surface, which keeps multi-site groups running mixed ERPs on one integration model.

verified

"An eight-second move becomes a real transaction instead of a note on a traveller."

DATA FLOW
2-WAY
arrow_downward
READ FROM NETSUITE
Work orders • assembly items and BOMs • bin and location master • lot availability
arrow_upward
WRITE TO NETSUITE
Assembly builds • item fulfilments • bin transfers • inventory adjustments with lot detail
Objects touched
assemblyBuild, itemFulfillment, inventoryTransfer, inventoryAdjustment
Transport: SuiteTalk REST + OAuth 2.0
Connected enterprise data feeding executive briefings
Odoo CONNECTOR 05 • EXTERNAL API SCOPED PER DEPLOYMENT

5. Odoo Manufacturing

Odoo deployments are rarely identical. Custom fields, community modules and version differences mean a connector that assumes a stock schema breaks on the second customer.

The integration is built against Odoo's External API, reading and writing the manufacturing models directly — production orders, work orders and stock moves.

Because the API is model-level rather than endpoint-level, custom fields added by your implementer are addressable without a connector rebuild.

Field mapping is confirmed against your database during the architecture review rather than assumed, which is why this connector is scoped per deployment instead of shipped as a fixed template.

tune

"Your custom fields are part of the mapping, not an exception to it."

DATA FLOW
2-WAY
arrow_downward
READ FROM ODOO
mrp.production • mrp.workorder • mrp.bom • stock.quant by location
arrow_upward
WRITE TO ODOO
Work order start and finish • stock.move consumption • scrap orders • quality checks
Confirmed at review
Odoo version, installed modules and custom field mapping are verified against your database before scoping.
Transport: XML-RPC / JSON-RPC
Cross-functional operations review with connected data
Sage CONNECTOR 06 • WEB SERVICES & BOI MIXED CADENCE

6. Sage X3 and Sage 100

These are two different products with the same name on the box, and pretending otherwise is how Sage integrations fail. They get separate treatment here.

Sage X3 exposes REST web services, so work orders, stock journals and labour entries move in near real time in both directions.

Sage 100 has no real-time write surface. It is integrated through the Business Object Interface, which means postings are grouped and committed on a short cycle rather than instantly — typically every few minutes.

The floor experience is identical either way: the operator scans, gets an immediate answer, and the transaction is buffered. Only the commit cadence into the ledger differs, and the queue shows exactly where each posting is.

schedule

"Sage 100 commits on a cycle, not instantly — we say so rather than calling it real time."

DATA FLOW
2-WAY
Sage X3
Near real time
REST web services • work orders in, stock journals and labour entries out
Sage 100
Short-cycle commit
Business Object Interface • grouped postings, typically every few minutes
Identical on the floor
Scan validation stays instant on both. Only the ledger commit cadence differs.
Transport: X3 REST • Sage 100 BOI
BOTH ENDS OF THE PIPELINE

Machines Feed It. Your BI Tools Read It.

settings_input_component
Edge and controllers
OPC-UA • MQTT

Cycle counts, spindle load, downtime reasons and station state are read directly from the controller. No operator retypes a number a PLC already knows.

Siemens
S7 / TIA
Allen-Bradley
ControlLogix
Beckhoff
TwinCAT
insights
Governed datasets
ONE SEMANTIC MODEL

One model with permissions attached, published outward. Two departments cannot build two definitions of yield and then argue about whose number is right.

Power BI
DirectQuery
Tableau
Live connection
Snowflake
Governed share
SEAMLESS ENTERPRISE COEXISTENCE

What You Are Not Being Asked to Do

ManuFactoryIQ is an execution layer, not a replacement ledger. The integration is designed so that the worst case is a queued transaction — never a corrupted one.

No data migration
Your history stays where it is. Nothing is lifted out of the ERP.
Read-only pilot first
Prove the mapping before a single write is enabled.
Scoped credentials
A dedicated service account limited to the objects in scope.
Reversible
Turn the connector off and the ERP keeps running as it did.
SAP Microsoft Dynamics 365 Oracle NetSuite Sage Odoo

SAP, Microsoft Dynamics 365, Oracle, NetSuite, Sage and Odoo names and marks are the property of their respective owners and are shown to identify the systems this platform connects to; they do not indicate partnership, certification or endorsement.

INTEGRATION ARCHITECTURE REVIEW

Let's Map Your Actual Stack

Send us your ERP, version and the transactions that hurt most today. We come back with the object mapping, the write path, and an honest answer about anything your version cannot do.

  • Object-level mapping for your ERP version
  • Read-only pilot scope with zero write risk
  • A written list of what we cannot do on your version
“They told us up front which two postings our ECC release would not accept. Nobody else did that before signing.”
— IT Director, Automotive Components Group
Strict enterprise NDA guaranteed. No invasive changes to your production ERP required.
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