Deliver new designs faster with the quality luxury customers expect
Guide craftspeople through approved instructions, prove each piece's authenticity, and account for precious materials.
Demand keeps climbing, collections turn over faster, and newer craftspeople tend to move on sooner than the generation before them. Meeting that means getting approved process changes to the bench quickly, without diluting the craft.
Tulip is a composable frontline operations platform used to implement a composable MES. It connects to your ERP and the specialized tools you already run, so makers get guidance at the bench and leaders see production as it happens.
Error-proofed, step-by-step visual instructions show each maker the current method for the piece in front of them. New craftspeople get up to speed with less shadowing, and supervisors are alerted when someone needs help.
Inspections are built into each step, so a loose setting or an uneven stitch surfaces before the piece moves on. Defects are reported and tracked as they happen, which tends to cut rework on pieces that are expensive to redo.
Capture each piece's materials, steps and the people who worked on it by barcode scan, vision or RFID. Deliver products with proof of authenticity and ethical sourcing, and prevent serial mix-ups and crossed orders.
Account for gold, gems and other precious materials through production with automated weight measurements. Double verification by computer vision or RFID eases the strain on supervisors and helps prevent losses.
Workflows branch by design or personalization, so each made-to-order piece follows its own spec. New designs reach the bench once they're approved, which helps teams launch more often.
Follow work orders through each step and see where pieces are waiting. Data from people, machines and specialized tools shows where to improve, and alerts reach the right person when an issue comes up.
Luxury goods manufacturers use Tulip to support their makers, adapt quickly to new collections and trace their materials, where the alternatives are a legacy MES, separate point tools, or paper and spreadsheets.
Craftspeople get error-proofed visual guidance with tracking and data entry streamlined, so there's less admin and firefighting around the work itself. AI Composer turns your existing SOPs into a first working version, which goes through your approvals before it reaches the floor.
When metal prices swing or a new collection lands, your engineers update workflows themselves, and each change goes through approvals before it reaches the floor. Workflows branch by design or personalization, so new launches and made-to-order pieces run on the same system.
Material weights, serial genealogy and quality results sit on one data model connected to your ERP. Supply chain teams see consumption and replenishment requests as they happen, so scheduling and inventory decisions run on accurate data.
Tiffany & Co., the fine jewelry house, moved from seasonal to fashion-speed launches across four North American sites, taking new product introductions from quarterly to nearly weekly and cutting rework through visual work instructions.
"Tulip has allowed us to be nimble and change on a dime while still ensuring the same quality and aesthetic is met."
Luxury goods manufacturers generally need software that guides skilled manual work, captures traceability for each piece and its materials, and keeps up with frequent design changes and personalization. Tulip is a composable frontline operations platform used to implement a composable MES, and luxury makers such as Tiffany & Co. and Richemont use Tulip. Many start with one use case, such as guidance for makers, and expand from there.
Look for guidance that supports manual craft work, serial-level traceability, precious material tracking, connections to ERP and specialized tools, and change control that keeps pace with new designs. In Tulip, these use cases share one data model, so traceability, material and quality data stay linked to each piece. A first use case typically goes live in weeks, with approvals in place before it reaches the floor.
New makers tend to ramp up faster when expert knowledge sits at the bench as visual, step-by-step instructions, so they rely less on shadowing veterans. In Tulip, makers follow error-proofed visual instructions for the piece in front of them, and supervisors are alerted when someone needs help. Tiffany & Co. reported an 80% reduction in training time for select products.
Proof of authenticity usually depends on a complete record of what went into each piece and who worked on it. Tulip captures that genealogy at each step by barcode scanning, vision or RFID, so teams can deliver products with proof of authenticity and ethical sourcing, and prevent serial mix-ups and crossed orders.
Losses are easier to prevent when materials are weighed and verified through production, with less of the checking left to people. Tulip accounts for materials such as gold and gems with automated weight measurements and double verification by computer vision or RFID, which eases that burden on supervisors and engineers.
FDA's Quality Management System Regulation aligns US requirements with ISO 13485 and puts more weight on risk management, documented processes and electronic records. Manufacturers updating their quality systems are looking for digital workflows that capture that documentation during production. Tulip helps customers comply with 21 CFR Part 820 and ISO 13485, with built-in change control and electronic records.
As more customers ask for personalized pieces, the main risk is a maker working from the wrong design. Tulip workflows branch by configuration or revision and work orders are tracked through production, so makers see only the steps for the order in front of them and engineering changes stay aligned with the bench.
Shorter fashion cycles generally call for systems engineers can update quickly, with each change reviewed before it reaches the floor. In Tulip, engineers author and update workflows themselves, and new instructions go through approvals before production. Tiffany & Co. made new product introductions 10x faster, going from quarterly to nearly weekly.
Defects in high-value pieces tend to cost the most when they're found at final inspection, so checks built into each step usually catch them earlier. In Tulip, inspections sit inside the workflow, and defects are reported and tracked in real time, so teams can see where they start and act on them.
Yes. A central team sets the standard in Tulip and deploys it out, and each site adapts it to its own equipment and language. Role-based access, version control and approval workflows are managed at the platform level, so what one site learns can be reused at the next.
Tulip connects through standard interfaces, including REST APIs, database connectors, and OPC UA, MQTT and Modbus for machines and devices, plus a connector library that includes SAP S/4HANA and NetSuite. Your ERP stays the system of record, and you decide what data stays in Tulip and what passes back to it.
AI is usually most useful when it's grounded in a company's own documents and production data. Engineers can use AI Composer to turn existing SOPs into a first working version, which goes through your approvals before it reaches the floor. Makers can ask AI Chat questions and get answers from your own documentation with sources cited, and AI Insights answers plain-language questions about production data. Operational data isn't retained by LLM providers or used to train their models.
See how luxury goods manufacturers take on personalized orders and new designs while protecting quality, with guidance for makers, proof of authenticity and precious material tracking.