Tacton

Messy product data. Engineering pulled into months of cleanup. Expanding integration requirements. A launch that sends users straight back to spreadsheets. These are real CPQ implementation risks, but trying to solve every product, exception, and integration is where implementations get stuck. At Tacton, we recommend proving one real quote-to-order flow first: ✅ Draw the MVP boundary Choose one product, region, or channel. Define the outcome and connect only the systems required to achieve it. ✅ Turn product knowledge into a model Gather the rules, resolve conflicting data, and include the pricing, exceptions, and BOM output needed for that product. ✅ Prove the real workflow Test actual configurations, approvals, documents, and the CRM-to-ERP handoff with sales, engineering, and operations. ✅ Make ownership part of go-live Train administrators and power users. Establish governance for rules, releases, and integrations before expanding. You can't solve every product, integration, and process in phase one. A phased rollout helps prove value and create a template for future scaling. Save the framework, then read the full CPQ implementation guide: https://lnkd.in/gDFG3vMM

Finance leaders - the secret to improving manufacturing margins is not in more cost cutting or a different pricing strategy. It's in the digital thread between commercial and manufacturing data. Some manufacturers invest heavily in production maturity and cost reduction (tighter systems, better engineering processes, stronger operational efficiency). Others push toward digital customer experiences to drive growth and faster quoting. CFOs end up investing in one function at the expense of another or funding pieces of both without connecting either. And that disconnect between the two is exactly where profit erodes. How do you make sure that what is sold is what gets delivered without errors, delays, or additional work? We put together a quick guide on this for finance leaders with input from leading manufacturers. Read the full article: https://lnkd.in/gb_Nb5-r #Manufacturing #CFO #ProfitMargins #DigitalTransformation

Manufacturing leaders come to Tacton Summit for this. 👇 Two days with the people actually solving quote-to-delivery complexity: peers, product leaders, and execs who've been where you are. Here's what you'll walk away with: - Real playbooks from manufacturers who've closed the gap between quoting and delivery - A look at where AI is actually working in manufacturing right now, and where it isn't yet - Direct access to the people building and using Tacton CPQ every day - An early look at the innovations to come Register for free for your city: Stockholm 🗓️ 7-8 Oct https://lnkd.in/gUk5Awd9 Chicago 🗓️ Oct 14-15 https://lnkd.in/gpgsTHc7

We're proud to be acknowledged by QKS Group as a Leader in its latest SPARK Matrix™ for CPQ! 🎉 Their Configure, Price, and Quote (CPQ) Applications Manufacturing research evaluates how vendors support configure-to-order, engineer-to-order, and high-variant manufacturing environments, benchmarking technical capability, product strategy, market presence, and customer value. "Manufacturing CPQ vendors are increasingly evolving from front-office quote automation providers to integrated decision platforms that connect commercial execution with engineering and production readiness," says Abhishek Dubey, Principal Analyst at QKS. We believe Tacton's innovation is building a stronger and more connected platform that positions CPQ as a core part of an essential digital thread across commercial and operational functions. Proud to be recognized among the vendors leading in CPQ innovation. Download the report here: https://lnkd.in/gdrHN6G6

Individualized products. Controlled cost. You don't have to choose. That's the shift that increasing configure-to-order coverage makes possible: individualization your customers expect, engineered once and reused everywhere, instead of rebuilt by hand every time. Here's what Tacton CPQ helps unlock for highly complex manufacturers: 🔹 Protect the margin you quoted. Constraint-based logic replaces manual, error-prone processes, so the margin you calculate at quoting is the margin you keep. 🔹 Scale your best engineer's expertise, not just their hours. Product knowledge becomes reusable logic your whole sales team can configure with confidently, not something locked in one person's head. 🔹 Cut lead times while keeping full customization. Complex product logic resolves in seconds, freeing engineering time for the work that actually needs it. 🔹 Move from configured quote to accurate BOM automatically. No manual handoffs, no lost data between sales and production. Learn how manufacturers are scaling complexity in our full webinar on configure-to-order 👉 https://lnkd.in/gjteCK4t #heavyvehicles #industrial #medtech #construction #energy #pumps

AI that's 99% right is still 100% wrong when that 1% is a missing exclusion rule, an invalid product configuration, or a pricing error that reaches the shop floor. Jesper Alfredsson, our Chief Product Officer, gave his 4 key takeaways for building trust in AI when managing complex manufacturing data: 📊 Structure over volume — Most manufacturers already have the data they need. It's just scattered across ERP, CAD, spreadsheets, and tribal knowledge. Building consistency and structure across the data you have is more important than acquiring more data. 🤝 Generative + symbolic AI, together — GenAI interprets messy, unstructured inputs. Symbolic AI validates every output against your engineering rules and constraints in real time. One without the other isn't enough. 🎯 Start small, not perfect — The path to adoption isn't waiting for flawless data across the board. It's targeted use cases where rules are clear and errors are costly. 👥 People, not just tech — Skepticism is earned from real failures. Transparency, secure data handling, and low-risk pilots are what turn skeptics into adopters. Explainability is the difference between AI as a black box and AI as a trusted extension of your engineering expertise. Read Jesper's full article for Manufacturing Leadership Council 👇 https://lnkd.in/gRBfyyiD

93% of engineering teams are spending efforts maintaining the same product configuration logic in more than one system. In the next minute, here's where that shows up as real cost, in five places most teams never connect back to the same root cause. - Higher cost of sales. Manual validation and quote rework stretch every cycle, even on configure-to-order deals. - Higher engineering overhead. Keeping the same rules in sync across PLM, CPQ, and more consumes hours that should go to product work. - Higher COGS. A rule that's out of sync means production gets an incomplete BOM. Fixing it means rework, scrap, and delays. - Supply chain inefficiency. An unclear BOM until late in the process means premium sourcing and more safety stock than needed. - Higher service costs. No clear record of what was actually delivered means repeat visits and bigger warranty claims. This is a governance problem rather than a systems problem, and it's fixable at the source. Where does this hit hardest: quoting, production, or service? Full breakdown: https://lnkd.in/d_rKnpSC #Manufacturing #CPQ #DigitalThread

Only 27% of manufacturers are able to easily track feature- and option-level demand trends within their product portfolio. Imagine cutting the time it takes to find your best-performing configuration from weeks of BI requests to minutes, no IT ticket required. Portfolio Performance Intelligence gives you that visibility natively in Tacton CPQ. Watch the teaser, then learn how you can protect margin and optimize your portfolio decisions. 👇 https://lnkd.in/ggUZN9xY

Decades in, many manufacturers are stuck with their CPQ platform or afraid to touch it. Join us this October in Stockholm to hear how Cytiva seamlessly transformed a legacy platform. Joakim Lundkvist, VP Global Hardware Solution Sales Leader, and Gustav Mena, Senior Manager of Visual Product Configuration, will share how they modernized without disrupting the business. What you'll walk away with: ✅ How to evolve a mature CPQ deployment without slowing down active sales ✅ Why governance, ownership, and standardization matter as much as the technology itself ✅ Where new CPQ capabilities take you next Whether you're evaluating CPQ or already running it, this is a real look at what long-term success looks like. 👉 Register for Tacton Summit in Stockholm: https://lnkd.in/gUk5Awd9

You're managing product information across PLM, CPQ, ERP, and maybe a spreadsheet or two. The top manufacturers have found a way to keep product knowledge and logic consistent and accurate across all of them. Our 2026 State of Manufacturing report surveyed 280 manufacturing leaders, and we found the key tactics leaders are using to create a more predictable, accurate, and efficient manufacturing process. Get there faster. Download the free report: https://lnkd.in/gcuBiPbi #Manufacturing #DigitalThread #CPQ