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ERP systems are the business brain of manufacturing operations \u2014 managing production planning, cost accounting, inventory and supply chain. But ERP has a fundamental blind spot: it plans production based on standard times and receives production confirmation based on what operators manually report. The gap between planned and actual production performance \u2014 the OEE gap \u2014 is invisible to ERP without a real-time data connection to the shop floor. OEE ERP integration<\/strong> closes this gap, enabling ERP to work with actual production data rather than estimates, and transforming production planning and cost accounting accuracy. This guide covers how the integration works, what it delivers and how to implement it without a 12-month project.<\/p>\n ERP systems operate at the business transaction layer: a production order is opened, materials are reserved, the order runs, and eventually a completion confirmation is posted. What ERP does not see is everything in between \u2014 whether the machines ran at full speed, how many stoppages occurred, what the actual cycle time was versus standard, or whether the quality yield matched the planned rate.<\/p>\n This means ERP production planning is built on assumptions. Work centre capacity is calculated using standard cycle times that may not reflect actual equipment capability. Production scheduling treats all machines as interchangeable against a standard rate, ignoring that Machine A runs at 94% of standard while Machine B runs at 71%. Cost accounting absorbs efficiency variances as a lump-sum deviation rather than attributing them to specific machines, products or shifts.<\/p>\n The consequence is a planning system that systematically over-promises capacity, under-identifies bottlenecks and obscures the true cost of production inefficiency.<\/p>\n Actual vs planned production tracking in real time.<\/strong> Instead of waiting for end-of-shift or end-of-day production confirmations, ERP receives actual production quantities from TeepTrak as production happens. A production planner can see at 2pm that Line 3 is 47 units behind the daily plan \u2014 and adjust downstream scheduling while there is still time to respond.<\/p>\n Actual cycle time data for capacity planning.<\/strong> TeepTrak measures actual cycle times for every product on every machine. When this data flows to ERP, capacity planning uses actual performance rather than theoretical standards. The result: more accurate scheduling, fewer missed delivery commitments, better identification of genuine capacity constraints versus efficiency losses.<\/p>\n Actual cost of production inefficiency.<\/strong> When ERP receives actual production quantities alongside actual machine time from TeepTrak, cost accounting can calculate actual production cost per unit based on real efficiency data. OEE losses become visible as cost line items rather than absorbed into a general efficiency variance account.<\/p>\n Maintenance-triggered production rescheduling.<\/strong> When JEMBA AI generates a predictive maintenance alert for a critical machine, this signal can trigger ERP to proactively reschedule production orders away from the at-risk machine \u2014 before a breakdown disrupts the production plan.<\/p>\n TeepTrak integrates with ERP systems via REST API. The standard bidirectional data flows are:<\/p>\n ERP to TeepTrak (production order data):<\/strong> Production order number, material code, planned quantity, work centre assignment, planned cycle time per unit. This data enables TeepTrak to calculate performance rate (actual vs planned cycle time) and track production against the daily plan in real time.<\/p>\n TeepTrak to ERP (actual production data):<\/strong> Actual quantities produced (good parts), actual machine time, downtime events with duration and cause codes. This data enables ERP to post accurate production confirmations, update actual costs and flag schedule deviations automatically.<\/p>\n Integration configuration typically takes a few hours for IT teams familiar with REST API integration. No middleware required. No on-premise server infrastructure. TeepTrak provides integration documentation for all major ERP systems.<\/p>\n TeepTrak integrates via REST API with all major ERP platforms used in manufacturing: SAP ERP and SAP S\/4HANA (PP and CO modules), Oracle ERP Cloud and Oracle EBS, Microsoft Dynamics 365 Finance and Operations, Sage X3 and Sage 1000, Infor LN and Infor CloudSuite Industrial, ProAlpha, Cegid, and custom ERP systems with REST API capability. The integration is ERP-agnostic \u2014 TeepTrak connects to any system that supports standard REST API or OData web services.<\/p>\n One of the most common concerns about OEE ERP integration is that it will trigger a complex IT project. In practice, the TeepTrak integration model minimises this risk: TeepTrak deploys in 48 hours completely independently of any ERP integration \u2014 you have live OEE data from day two regardless of whether ERP integration is configured. ERP integration is then added as an incremental step, typically taking days to weeks depending on ERP system and IT team familiarity, without any disruption to the running TeepTrak deployment. The two steps are decoupled \u2014 OEE value delivery does not depend on ERP integration being complete.<\/p>\n No. TeepTrak delivers full OEE measurement, AI root cause analysis and predictive maintenance value completely independently of ERP. ERP integration adds production planning accuracy, actual cost visibility and schedule deviation alerting \u2014 valuable additions, but not prerequisites for OEE improvement. Most TeepTrak customers deploy OEE first and add ERP integration later once the OEE value is established.<\/p>\n In multi-site groups where different plants run different ERP systems, TeepTrak connects to each plant’s ERP independently via site-specific API configurations. MoniTrak provides unified cross-plant OEE visibility at group level regardless of which ERP each site uses. Group-level OEE benchmarking does not require ERP standardisation across sites.<\/p>\n Yes. TeepTrak can automatically post production confirmations to ERP based on actual production data \u2014 eliminating the manual confirmation entry step that is both time-consuming and error-prone in most manufacturing ERP implementations. Automatic confirmation posting is configurable by shift, by order or by quantity threshold, depending on the ERP workflow requirements.<\/p>\n Both provide actual production data to ERP, but from different depths. MES ERP integration typically includes full production order management, genealogy, quality records and workforce data alongside production quantities. OEE ERP integration provides actual production quantities, machine times and downtime data \u2014 the subset of MES data that ERP most needs for planning and cost accuracy. For manufacturers who do not need full MES functionality, OEE ERP integration via TeepTrak provides the critical data connection at a fraction of the cost and complexity.<\/p>\n Connect TeepTrak OEE to your ERP \u2014 free 48h POC<\/a><\/p>\n See how TeepTrak integrates with SAP, Oracle, Sage and other ERP systems. Visit our customer success stories<\/a>.<\/p>\nWhy ERP Alone Cannot See Production Performance<\/h2>\n
What OEE ERP Integration Delivers<\/h2>\n
Standard Integration Architecture: TeepTrak + ERP<\/h2>\n
Supported ERP Systems<\/h2>\n
OEE ERP Integration Without a 12-Month Project<\/h2>\n
FAQ<\/h2>\n
Does OEE software need to integrate with ERP to be useful?<\/h3>\n
How does TeepTrak handle multiple ERP systems across a multi-site group?<\/h3>\n
Can TeepTrak replace the production confirmation step in ERP?<\/h3>\n
What is the difference between OEE ERP integration and MES ERP integration?<\/h3>\n