Raise output on lines where the product mix keeps changing
Get approved instructions to operators, track orders as they move, and trace each lot.
For makers of personalized, frequently refreshed products, new SKUs and custom orders often arrive faster than paper instructions can be reissued. Demand can swing just as quickly, and thin margins rarely leave room to hire around it.
Tulip is a composable frontline operations platform used to implement a composable MES. It works with the ERP, PLM and machines already in place, giving teams guided builds, live order status and a standard they can take to the next plant.
When a product refreshes or a new SKU lands, operators see the current steps, photos and checks right at the station. New hires lean less on whoever trained them, and supervisors get an alert when someone's stuck.
Workflows branch by configuration or revision, so a personalized or made-to-order item follows its own steps from start to finish. Operators see only what applies to the order in front of them, which cuts the mix-ups personalization tends to invite.
Guided picking shows operators which parts and components go into each order, and pack-and-ship steps come with pre-filled labels. Apps can capture a photo of each finished order and attach it to the record, showing what went in the box.
Follow each work order through production, spot a bottleneck while it's forming, and send andon alerts to the person who can clear it. Plant leaders see output as it happens, hours before the end-of-shift report.
Inspections run inside the workflow, so a scratch, a wrong color or a missing part can be caught at the station that caused it. Tulip Vision, an add-on, can flag visual anomalies before rework piles up.
Barcode scans, vision or RFID record which materials, lots, operators and checks went into each unit as the work happens. When a complaint or recall comes in, trace forward or backward to find the affected units.
Consumer products teams weighing a legacy MES, separate quality and tracking tools, or paper travelers get room for each new SKU, one launch standard across plants, and proof that each order shipped complete.
Workflows branch by configuration or revision, so engineers can add a new SKU or personalization option without starting the instructions over. AI Composer can turn an existing SOP into a first working version, and each change goes through your approvals before it reaches operators.
When a new product goes out to more than one plant, each one builds it from the same approved standard and adapts it to its own equipment and language. An improvement found at one plant can reach the others once it clears your approvals, with version control showing what runs where.
Pack-out steps capture photos of finished orders and attach them to the same record as the order's lots, operators and inspection results. When a customer questions a shipment, the evidence is usually already on the record, and your ERP and PLM stay the systems of record.
Tiffany & Co. moved its jewelry manufacturing from seasonal to fashion-speed launches across four North American sites, with visual work instructions guiding its craftspeople.
"Tulip has allowed us to be nimble and change on a dime while still ensuring the same quality and aesthetic is met."
Stanley Black & Decker replaced isolated, site-by-site improvements with a shared, scalable operating model, pairing global standards with composability across 50+ sites.
"The charter of our team is to find new solutions and Tulip is one of those solutions that really spoke to the pain points we were seeing in our end users, in our plants, and in our distribution centers"
Generac used ROI as a shared language to prioritize use cases, then replicated what worked at additional plants.
"It was pretty easy to replicate to additional plants — we got double the benefit without double the cost."
Consumer products makers with manual, high-mix or personalized work generally need work instructions that change with each launch, order-level tracking for personalized items, and links to their ERP and PLM. Tulip is a composable frontline operations platform used to implement a composable MES, so teams can add those capabilities one at a time.
Look for work instructions that change as quickly as the product mix, real-time order tracking, quality checks built into each step, lot and serial traceability, and connections to ERP, PLM and machines. The option to start with one use case and add more later matters too. On Tulip these share one data model, so a team adding quality checks next year starts with the tracking data it already has.
New product introductions usually go wrong during ramp-up, when operators are learning steps that changed last week and errors compound. Work instructions that engineers can update themselves, with inspections built in, tend to shorten that window, and in Tulip every change goes through approvals before it reaches the floor. Tiffany & Co., for example, moved from seasonal to fashion-speed launches across four North American sites.
Personalized orders stay accurate when each one carries its own configuration and the steps follow it. In Tulip, workflows branch by configuration or revision, so operators see only the steps that apply to the order in front of them, and scans confirm the right components go into it.
Training tends to keep up when the instructions do some of the teaching, with the current steps, photos and checks shown at the station. In Tulip, AI Composer can turn existing SOPs and PDFs into step-by-step apps, which go through your approvals before they reach the floor.
Defects are usually cheaper to fix at the station that caused them than after final inspection. In Tulip, inspections are gated inside the workflow, and nonconformances are routed for review and disposition as they happen. Tulip Vision, an add-on, can flag visual anomalies and wrong colors that are easy to miss by eye.
Containing a recall quickly depends on complete genealogy: which materials, lots, operators and checks went into each unit. Tulip ties every step to a work order, serial or lot, with scanner-based identification, time stamps, station and operator, so a team can trace forward or backward, for example to every unit built from one lot.
Yes. Tulip connects through REST APIs, database connectors, and OPC UA, MQTT and Modbus for machines, with 700+ supported devices and a connector library that includes SAP S/4HANA, NetSuite, PTC Arena and Aras. ERP and PLM remain the systems of record, and Tulip shows operators the data they need from them as they work.
Tulip AI tends to help most where people spend time writing, searching or summarizing. Engineers can use AI Composer to turn an SOP into a first working version of an app, operators can ask AI Chat about your own documents and see the sources behind each answer, and supervisors can use AI Insights to ask plain-language questions of production data. LLM providers don't retain your operational data or use it to train their models.
See how consumer products manufacturers keep up with frequent launches using digital work instructions, kitting and pack-out, and real-time order tracking.