An operations engineer is working out whether your technology solves their throughput, quality or labour problem, and what it would take to install.
We build automation and robotics digital platforms that lead from a production constraint to a viable cell configuration, make integration requirements and payback framing explicit, and route the enquiry to the right engineering team or integrator partner.
Buyers do not usually start by searching for a robot. They start from a bottleneck: a cycle time that will not hold, a quality escape, a task that is hard to staff, a palletising step that limits the line. The technology category is something they arrive at afterwards.
We build an application-led structure that starts from those constraints and leads to the cell types, components and system configurations that address them. Payload, reach, cycle time and footprint sit underneath as the qualifying data, rather than being the first thing a visitor has to understand.
The equipment is rarely the hard part. What concerns an operations team is how a cell connects to the existing line, which controls platform it talks to, what the safety assessment involves, how much downtime installation requires, and who is responsible when something stops.
We make that explicit: control interfaces and supported protocols, the safety standards addressed, the typical installation and commissioning sequence, training provided, spares and remote support arrangements. Addressing it on the site rather than in the third meeting shortens the evaluation and filters out projects that were never a fit.
An automation project is approved on a business case, and the engineer building that case has to defend it internally. Presenting payback purely as a marketing claim tends to be discounted, while offering no figures at all leaves them to build the case alone.
We build payback material that shows the method and the assumptions rather than a single figure: which cost lines are affected, how throughput and scrap change, what the installation and training effort is, and which variables the customer has to supply. Where a calculator makes sense, it produces a defensible range rather than a number that looks engineered to persuade.
Much automation reaches production through system integrators, machine builders and distribution partners, and they work from the same site as the end customer. If drawings, configuration data, manuals and lead times are difficult to reach, partners default to whichever supplier makes their design work easier.
We build a partner route with the documentation, CAD, configuration tools and commercial resources that group relies on, alongside the end-customer journey. Both draw on the same product records, so a specification does not diverge between the public page and the partner download.
Code Industrial is the industrial B2B practice of Code Barcelona, an agency building corporate websites and digital platforms since 2015. The same strategy, design and engineering team works on every industrial project, from the first scoping session through to life after launch.
Automation buyers start from an operating constraint rather than a product category. The platform has to connect process, configuration, integration and proof before it asks for an enquiry.
Questions that come up when a complex automation portfolio has to be evaluated online.
Around applications and production constraints first, with technologies, components and configurations underneath. Buyers arrive with a bottleneck rather than a product category, so an entry route organised by throughput, quality, handling or labour problems reaches them earlier. The balance shifts depending on whether you sell components, standard cells, integration services or complete production systems.
It helps when there are clear decision variables and reliable data behind them. Payload, reach, cycle time, footprint, environment rating and control interface usually qualify. It works less well when the real selection depends on a process assessment that cannot be reduced to form fields, in which case a guided enquiry that captures the application is more useful. See industrial product finder development for how we scope that.
Yes, if the assumptions are visible. The engineer building the internal business case has to defend it, and a single headline payback figure with no method behind it tends to be discounted. Showing which cost lines are affected, how throughput and scrap change, what commissioning involves and which inputs the customer supplies is more persuasive than a number presented as a conclusion.
By building a partner route that draws on the same product records as the public pages. Integrators need CAD, configuration data, manuals and commercial terms; end customers need application evidence and a route to a conversation. Sharing the underlying data prevents the specification on a partner download from diverging from the one on the public page, which is a common and expensive inconsistency.
Enough to answer the questions that would otherwise surface in a third meeting: supported control platforms and protocols, the safety standards addressed, typical installation and commissioning effort, training, spares and remote support. This detail rarely gives away anything competitive, and it shortens evaluation while filtering out projects that were never going to fit your equipment.
It can, though the value comes from specific application and process queries rather than head terms with high volume. A page that answers a real palletising, machine tending or vision inspection question thoroughly reaches a smaller audience with much higher intent. We build search architecture around questions your engineering team can answer substantively, rather than generating thin pages for keyword coverage.
Related industrial sectors where technical applications, complex product data and specialist sales journeys are similarly important.
Tell us how customers and integrators discover and assess your systems today. We will recommend the platform, selection route and enquiry model that fit the sales process.