Raise output and keep every part traceable as demand shifts
Error-proof assembly, trace parts by serial or lot, and spot bottlenecks during ramp-up.
Demand for EVs and driver assistance keeps shifting, new contracts arrive with tight launch dates, and newer operators often don't stay long. Customers still expect the same quality and on-time delivery on every order.
Tulip is a composable frontline operations platform used to implement a composable MES. It connects to your ERP, machines and tools, so engineers can author guided, traceable workflows and update them when a design or contract changes, with approvals before anything reaches the floor.
Digital workflows walk new and experienced operators through complicated assemblies, with error-proofing at each step. When an operator gets stuck, a supervisor is alerted, which tends to matter most while newer hires are still learning the line.
Barcode scans, vision or RFID tie each component, sub-assembly and process step to a serial or lot as the work happens. That prevents serial mix-ups and crossed orders, and lets your team trace forward or backward to contain suspect product.
Confirm the right technique was applied and recorded at the station, such as screwdriver torque captured through device connectivity. Computer vision inspection catches defects in-line, so fewer parts tend to end up as rework and scrap that slow the line down.
For suppliers facing OEM-mandated traceability, production and genealogy data can be pushed into customer-required formats or directly into supplier portals. Specific datasets can be shared with an OEM through the API without exposing your full production environment.
Follow each work order by serial, lot or unit as it moves through the stations of a ramping line. Bottlenecks show up while the shift is still running, and andon alerts go to the person who can clear them.
Capture machine and device data, track downtime and its reasons, and alert a shared channel when a critical event occurs. Unplanned stops tend to hurt most while a new line is still ramping up.
How Tulip helps automotive teams keep pace with design changes, prove what went into each part, and connect station data securely, compared with a rigid MES, separate point tools, generic low-code platforms, or paper and spreadsheets.
EV and new-vehicle launches tend to bring frequent design changes from R&D. Your engineers update the affected steps for each configuration or revision themselves, with no monolithic MES to re-implement, and operators see a change only after it's approved. AI Composer can turn existing SOPs into a first working version for review.
Chargebacks and warranty disputes tend to get expensive where the record has gaps. Tulip ties each component, sub-assembly and process step to a serial or lot as the work happens, so when a customer questions a part, your team can show what went into it and scope containment to the units affected.
Torque results, vision inspections and machine data are captured at the station and tied to the serial or lot, and you decide what passes through to your ERP as the system of record. Tulip is SOC 2 certified (Type II report), with SAML SSO, role-based access and audit logging, and fits your IT architecture.
TICO Tractors, a maker of industrial and utility vehicles, digitized quality inspection and rework.
"Without Tulip, doubling production would have been nearly impossible."
RFK Racing uses Tulip to track parts inventory and race-car assembly, and cut post-race teardown and inspection time.
Automotive suppliers and vehicle makers generally need software that keeps parts traceable by serial or lot, guides operators through assembly that changes with each contract or platform, and connects to the ERP, machines and tools already on the line. Tulip is a composable frontline operations platform used to implement a composable MES, and teams typically start with one use case on one line, then expand.
Look for serial- and lot-level genealogy, a way to send data to customers in the format they require, error-proofed guidance at the station, connections to ERP and machines, and change control that holds across plants. It also helps to be able to start with one use case and expand from there. Tulip runs each of these on one data model, so each new use case starts ahead of the last.
Most OEM traceability requirements come down to proving which components, process steps and results went into each serial or lot, in a form the customer accepts. Tulip captures full part genealogy, with every component, sub-assembly and process step tied to a serial or lot. That data can be pushed into customer-required formats or directly into supplier portals.
Containment moves faster when each unit's genealogy already exists: which lots, tools, operators and inspection results went into it. Tulip ties each step to a work order, serial or lot, with time stamps, station, operator, results and photos attached. Your team can then trace forward or backward, for example every unit built from lot Y, to find other potentially defective product.
Guidance at the station shortens the time newer operators spend shadowing veterans. In Tulip, work instructions connect to tools and vision systems so each step is error-proofed, and AI Composer turns existing SOPs and PDFs into a first draft that goes through approvals before it reaches the floor.
Tulip connects to the ERP through REST APIs and database connectors, and to machines on the line over OPC UA, MQTT and Modbus, with 700+ supported devices. Library connectors include SAP S/4HANA, NetSuite, PTC Arena and Aras. Your ERP and PLM stay the systems of record, and Tulip surfaces their data to operators at the station in real time.
Tulip is SOC 2 certified (Type II report), with SAML SSO, role-based access, audit logging, and data encrypted at rest and in transit. When an OEM asks for production data, specific datasets can be shared through the API without exposing your full production environment. You decide what data stays in Tulip and what passes through to your ERP or PLM.
Yes. In Tulip, a central team authors the process once and deploys it to each plant, whether that's a second supplier site or a new EV line, and each site adapts it to its own equipment and language. Version control, approval workflows and role-based access are managed at the platform level, with central visibility into performance and quality across lines.
Tulip AI works from your own documents and production data, which is what makes it useful at a station. A process engineer can have AI Composer draft an assembly app from an existing SOP for review and approval, an operator unsure of a torque sequence can ask AI Chat and get an answer cited from your documentation, and an engineer chasing a defect trend can ask AI Insights about production data in plain language. LLM providers don't retain your operational data or use it to train their models.
See how automotive suppliers and vehicle makers keep lines moving and account for each part, with error-proofed assembly, serial-level genealogy and reporting their customers can use.